From 1228c261d96d893dd8a84f0a90b9767511fce54e Mon Sep 17 00:00:00 2001 From: May Lee Date: Wed, 28 Feb 2024 10:56:41 -0500 Subject: [PATCH 01/88] add dual ship splunk --- config/_default/menus/menus.en.yaml | 40 +++++ .../dual_ship_logs/_index.md | 13 ++ .../dual_ship_logs_for_splunk_hec.md | 167 ++++++++++++++++++ 3 files changed, 220 insertions(+) create mode 100644 content/en/observability_pipelines/dual_ship_logs/_index.md create mode 100644 content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md diff --git a/config/_default/menus/menus.en.yaml b/config/_default/menus/menus.en.yaml index 61194e7047afb..46088758540cc 100644 --- a/config/_default/menus/menus.en.yaml +++ b/config/_default/menus/menus.en.yaml @@ -3216,6 +3216,46 @@ main: identifier: observability_pipelines parent: log_management_heading weight: 10000 + - name: Dual Ship Logs + url: observability_pipelines/dual_ship_logs/ + parent: observability_pipelines + identifier: observability_pipelines_dual_ship_logs + weight: 1 + - name: Splunk HEC + url: observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec/ + parent: observability_pipelines_dual_ship_logs + identifier: observability_pipelines_dual_ship_logs_splunk_hec + weight: 1001 + - name: Splunk TCP + url: observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_tcp/ + parent: observability_pipelines_dual_ship_logs + identifier: observability_pipelines_dual_ship_logs_splunk_tcp + weight: 1002 + - name: Sumo Logic + url: observability_pipelines/dual_ship_logs/dual_ship_logs_for_sumo_logic/ + parent: observability_pipelines_dual_ship_logs + identifier: observability_pipelines_dual_ship_logs_sumo_logic + weight: 1003 + - name: Log Volume Control + url: observability_pipelines/log_volume_control/ + parent: observability_pipelines + identifier: observability_pipelines_log_volume_control + weight: 2 + - name: Splunk HEC + url: observability_pipelines/log_volume_control/splunk_hec/ + parent: observability_pipelines_log_volume_control + identifier: observability_pipelines_log_volume_control_splunk_hec + weight: 2001 + - name: Splunk TCP + url: observability_pipelines/dual_ship_logs/splunk_tcp/ + parent: observability_pipelines_log_volume_control + identifier: observability_pipelines_log_volume_control_splunk_tcp + weight: 2002 + - name: Sumo Logic + url: observability_pipelines/log_volume_control/log_volume_control_for_sumo_logic/ + parent: observability_pipelines_log_volume_control + identifier: observability_pipelines_log_volume_control_sumo_logic + weight: 1003 - name: Log Management url: logs/ pre: log diff --git a/content/en/observability_pipelines/dual_ship_logs/_index.md b/content/en/observability_pipelines/dual_ship_logs/_index.md new file mode 100644 index 0000000000000..1b44872011976 --- /dev/null +++ b/content/en/observability_pipelines/dual_ship_logs/_index.md @@ -0,0 +1,13 @@ +--- +title: Dual Ship Logs +kind: Documentation +disable_toc: false +--- + +Select the log source that you want to dual ship: + +- [Splunk HEC][1] +- Splunk TCP +- Sumo Logic + +[1]: /observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec \ No newline at end of file diff --git a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md new file mode 100644 index 0000000000000..d3235c67da946 --- /dev/null +++ b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md @@ -0,0 +1,167 @@ +--- +title: Dual Ship Logs from Splunk HEC +kind: documentation +disable_toc: false +--- + +## Overview + +The Observability Pipelines Worker can dual ship your logs to Splunk and Datadog. You can configure your Splunk HTTP Event Collectors (HEC) to send logs to the Worker to dual ship them to Splunk and Datadog. See [Dual Ship Logs with Splunk TCP][1] if you want to use Splunk Heavy/Universal Forwarders. + +This document walks you through the following steps: + +1. Set up the Splunk index +1. Set up Observability Pipelines +1. Connect Splunk to the Observability Pipelines Worker + +## Set up the Splunk index + +
Observability Pipelines supports acknowledgments when you enable the Enable Indexer Acknowledgments setting on the input. Indexer acknowledgement is only available for Splunk Enterprise
+ +You must provision a Splunk HEC input and HEC token on the Splunk index so that the Observability Pipelines Worker can send logs to Splunk. Follow the instructions in the [Configure HTTP Event Collector on Splunk Cloud Platform][2] section. + +After configuring the HTTP Event Collector, use the Splunk HEC token to set up Observability Pipelines. + +## Set up Observability Pipelines + +To build a pipeline: + +1. Navigate to [Observability Pipelines][LINK]. +1. Select the **Dual Ship Logs** use case to create a new pipeline. + +### Add the log source + +1. Select **Splunk HEC** as the source. +1. Enter the Splunk HEC endpoint in the Splunk HEC **Address** field. For example `https://.splunkcloud.com:8088/services/collector/event`. See Send Data to HTTP Event Collector for more information. + +### Add processors + +There are pre-selected processors and you can add additional processors for your use case. The following processors are available: + +{{< tabs >}} +{{% tab "Filter" %}} + +Add a query to filter your logs. + +{{% /tab %}} +{{% tab "Sampler" %}} + +1. Add a query to filter your logs +1. Enter the percent of logs to sample. + +{{% /tab %}} +{{% tab "Quota" %}} + +1. Add a query to filter you logs. +1. Select in the **Enforce by** dropdown menu how do you want to determine the quota. +1. Enter the daily quota limit. + +{{% /tab %}} +{{% tab "Remap" %}} + +Select one of the following type of reamp in the dropdown menu: **add field**, **drop field**, or **rename field**. + +#### Add a field +For the **Add field** remap: + +1. Select the field. +1. Add a query. +1. Enter the key and value you want to add. + +#### Drop a field + +For the **Drop** remap: +1. Add a query to filter to logs. +1. Enter the key you want to drop. + +#### Rename a field +For the **Rename** remap: +1. Add a query to filter the logs. +1. Enter the key that you want to remap. +1. Enter the key that you want the original key to be remapped to. +1. If you to do not want to keep the original source tag, uncheck **Preserve source tag**. + +{{% /tab %}} +{{< /tabs >}} + +### Configure the destinations for your logs + +1. Select **Splunk HEC** and **Datadog** for the destination. +1. Enter in the Splunk endpoint URL. + +## Install the Observability Pipelines Worker + +Select your platform in the **Choose your installation platform** dropdown menu. + +{{< tabs >}} +{{% tab "Docker" %}} + +**[INSTRUCTIONS ARE WIP]** + +1. Enter the Splunk HEC token ino the **Splunk_Token** field. +1. Enter the Splunk HEC endpoint in the Splunk HEC **Address** field. For example `https://.splunkcloud.com:8088/services/collector/event`. See Send Data to HTTP Event Collector for more information. +1. Click **Select an API key** to choose the Datadog API key you want to use. +1. Run the provided command to install the Worker. +1. Run the following command to start the worker: + +``` +sudo systemctl restart observability-pipelines-worker +``` + +{{% /tab %}} +{{% tab "AWS EKS" %}} + +1. Download the [Helm chart values file][link] for AWS EKS. +1. In the Helm chart values file, replace `site` with {{< region-param key="dd_site" code="true" >}}. Make sure you have the correct site region selected in the upper right side of the page to show the site URL you need to use. See [Datadog Site][2] for more information. +1. To install the Worker, run the following commands: + + ```shell + helm repo add datadog https://helm.datadoghq.com + ``` + + ```shell + helm repo update + ``` + + ```shell + helm upgrade --install \ + opw datadog/observability-pipelines-worker \ + -f aws_eks.yaml + ``` + +[2]: /getting_started/site/ + +{{% /tab %}} +{{% tab "Azure AKS" %}} + +TKTK + +{{% /tab %}} +{{% tab "Google GKE" %}} + +TKTK + +{{% /tab %}} +{{% tab "Linux (APT)" %}} + +TKTK + +{{% /tab %}} +{{% tab "Linux (RPM)" %}} + +TKTK + +{{% /tab %}} +{{% tab "CloudFormation" %}} + +TKTK +{{% /tab %}} +{{% tab "Terraform (AWS)" %}} + +TKTK + +{{% /tab %}} +{{< /tabs >}} + +[1]: /obs_pipelines/dual_ship_logs_for_splunk_tcp +[2]: https://docs.splunk.com/Documentation/Splunk/latest/Data/UsetheHTTPEventCollector \ No newline at end of file From 0355a6edd9a8ebce8c23edd8cad337a870832ec8 Mon Sep 17 00:00:00 2001 From: May Lee Date: Mon, 4 Mar 2024 17:45:30 -0500 Subject: [PATCH 02/88] add destination variables and other edits --- .../dual_ship_logs/_index.md | 9 ++++- .../dual_ship_logs_for_splunk_hec.md | 37 +++++++++++++++++-- 2 files changed, 41 insertions(+), 5 deletions(-) diff --git a/content/en/observability_pipelines/dual_ship_logs/_index.md b/content/en/observability_pipelines/dual_ship_logs/_index.md index 1b44872011976..f0602c8e454d9 100644 --- a/content/en/observability_pipelines/dual_ship_logs/_index.md +++ b/content/en/observability_pipelines/dual_ship_logs/_index.md @@ -1,13 +1,18 @@ --- -title: Dual Ship Logs +title: Dual Ship Logs to Multiple Destinations kind: Documentation disable_toc: false --- -Select the log source that you want to dual ship: +## Overview + +Use Observability Pipelines to dual ship your logs to multiple destinations. + +Select the log source that you want to dual ship from: - [Splunk HEC][1] - Splunk TCP - Sumo Logic +- Datadog Agent [1]: /observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec \ No newline at end of file diff --git a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md index d3235c67da946..1b945be6c9bf3 100644 --- a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md +++ b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md @@ -6,7 +6,7 @@ disable_toc: false ## Overview -The Observability Pipelines Worker can dual ship your logs to Splunk and Datadog. You can configure your Splunk HTTP Event Collectors (HEC) to send logs to the Worker to dual ship them to Splunk and Datadog. See [Dual Ship Logs with Splunk TCP][1] if you want to use Splunk Heavy/Universal Forwarders. +Configure your Splunk HTTP Event Collectors (HEC) to send logs to the Observability Pipelines Worker to dual ship logs to multiple destinations. See [Dual Ship Logs from Splunk TCP][1] if you want to use Splunk Heavy/Universal Forwarders. This document walks you through the following steps: @@ -57,7 +57,7 @@ Add a query to filter your logs. 1. Enter the daily quota limit. {{% /tab %}} -{{% tab "Remap" %}} +{{% tab "Edit field" %}} Select one of the following type of reamp in the dropdown menu: **add field**, **drop field**, or **rename field**. @@ -91,7 +91,38 @@ For the **Rename** remap: ## Install the Observability Pipelines Worker -Select your platform in the **Choose your installation platform** dropdown menu. +1. Select your platform in the **Choose your installation platform** dropdown menu. +1. Provide the environment variables for each of your selected destinations. +{{< tabs >}} +{{% tab "Splunk HEC" %}} +1. Enter the Splunk HEC token in the **DD_OP_SOURCE_SPLUNK_HEC_TOKENS** field. +1. Enter the Splunk HEC endpoint URL in the **DD_OP_SOURCE_SPLUNK_HEC_ADDRESS**. For example `https://.splunkcloud.com:8088`. See [Send Data to HTTP Event Collector][1] for more information. +**Note**: `/services/collector/event` is automatically appended to the endpoint. + +[1]: https://docs.splunk.com/Documentation/Splunk/latest/Data/UsetheHTTPEventCollector#Send_data_to_HTTP_Event_Collector + +{{% /tab %}} +{{% tab "Splunk TCP" %}} + +Enter the Splunk TCP address into the **DD_OP_DESTINATION_SUMO_LOGIC_HTTP_COLLECTOR_URL** field. + +[1]: /agent/guide/agent-commands/ + +{{% /tab %}} + +{{% tab "Sumo Logic" %}} + +Enter the Sumo Logic HTTP collector URL in the **DD_OP_DESTINATION_SUMO_LOGIC_HTTP_COLLECTOR_URL** field. + +{{% /tab %}} +{{% tab "Datadog" %}} + +Text inside tab. [Link references][1] must be inside the tab. + +[1]: /agent/guide/agent-commands/ + +{{% /tab %}} +{{< /tabs >}} {{< tabs >}} {{% tab "Docker" %}} From af4219c4eac20263cabdf5b11e7d358cad5da54a Mon Sep 17 00:00:00 2001 From: May Lee Date: Tue, 5 Mar 2024 14:23:53 -0500 Subject: [PATCH 03/88] updates --- .../dual_ship_logs_for_splunk_hec.md | 33 ++++++++----------- 1 file changed, 13 insertions(+), 20 deletions(-) diff --git a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md index 1b945be6c9bf3..5d8cd79ee234f 100644 --- a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md +++ b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md @@ -11,7 +11,7 @@ Configure your Splunk HTTP Event Collectors (HEC) to send logs to the Observabil This document walks you through the following steps: 1. Set up the Splunk index -1. Set up Observability Pipelines +1. Set up a pipeline in Observability Pipelines 1. Connect Splunk to the Observability Pipelines Worker ## Set up the Splunk index @@ -22,17 +22,15 @@ You must provision a Splunk HEC input and HEC token on the Splunk index so that After configuring the HTTP Event Collector, use the Splunk HEC token to set up Observability Pipelines. -## Set up Observability Pipelines +## Set up a pipeline -To build a pipeline: +Do the following to set up a pipeline to dual ship your logs to multiple destinations: + +### Add a log source 1. Navigate to [Observability Pipelines][LINK]. 1. Select the **Dual Ship Logs** use case to create a new pipeline. - -### Add the log source - 1. Select **Splunk HEC** as the source. -1. Enter the Splunk HEC endpoint in the Splunk HEC **Address** field. For example `https://.splunkcloud.com:8088/services/collector/event`. See Send Data to HTTP Event Collector for more information. ### Add processors @@ -84,10 +82,10 @@ For the **Rename** remap: {{% /tab %}} {{< /tabs >}} -### Configure the destinations for your logs +### Add the destinations for your logs -1. Select **Splunk HEC** and **Datadog** for the destination. -1. Enter in the Splunk endpoint URL. +1. Select the destinations for your logs. +1. Enter in the Splunk endpoint URL. ## Install the Observability Pipelines Worker @@ -123,21 +121,16 @@ Text inside tab. [Link references][1] must be inside the tab. {{% /tab %}} {{< /tabs >}} - +3. Follow the instructions for your environment to install the Worker. {{< tabs >}} {{% tab "Docker" %}} -**[INSTRUCTIONS ARE WIP]** - -1. Enter the Splunk HEC token ino the **Splunk_Token** field. -1. Enter the Splunk HEC endpoint in the Splunk HEC **Address** field. For example `https://.splunkcloud.com:8088/services/collector/event`. See Send Data to HTTP Event Collector for more information. 1. Click **Select an API key** to choose the Datadog API key you want to use. -1. Run the provided command to install the Worker. +1. Run the command automatically provided in the UI to install the Worker. The command is automatically populated with the environment variables you entered earlier. 1. Run the following command to start the worker: - -``` -sudo systemctl restart observability-pipelines-worker -``` + ``` + sudo systemctl restart observability-pipelines-worker + ``` {{% /tab %}} {{% tab "AWS EKS" %}} From bdaca93469cebdc71a6850ec7a3532bb87afcc19 Mon Sep 17 00:00:00 2001 From: May Lee Date: Mon, 11 Mar 2024 14:00:58 -0400 Subject: [PATCH 04/88] add content --- .../dual_ship_logs/_index.md | 4 +- .../dual_ship_logs_for_splunk_hec.md | 85 +++++++++++++------ 2 files changed, 61 insertions(+), 28 deletions(-) diff --git a/content/en/observability_pipelines/dual_ship_logs/_index.md b/content/en/observability_pipelines/dual_ship_logs/_index.md index f0602c8e454d9..c6de8d7d15b6a 100644 --- a/content/en/observability_pipelines/dual_ship_logs/_index.md +++ b/content/en/observability_pipelines/dual_ship_logs/_index.md @@ -6,9 +6,9 @@ disable_toc: false ## Overview -Use Observability Pipelines to dual ship your logs to multiple destinations. +As your infrastructure scales, your volume of logs also increases along with the complexity of the data. To optimize how you manage your logs could involve experimenting with different log management tools and routing workflows. Use Observability Pipelines to send your logs to multiple destinations, also known as dual shipping, so that you can evaluate different tools and workflows with minimal disruption to your production environment. -Select the log source that you want to dual ship from: +Select the source from which you want to dual ship logs: - [Splunk HEC][1] - Splunk TCP diff --git a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md index 5d8cd79ee234f..87b0a1fdcde5f 100644 --- a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md +++ b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md @@ -6,9 +6,11 @@ disable_toc: false ## Overview -Configure your Splunk HTTP Event Collectors (HEC) to send logs to the Observability Pipelines Worker to dual ship logs to multiple destinations. See [Dual Ship Logs from Splunk TCP][1] if you want to use Splunk Heavy/Universal Forwarders. +As your infrastructure scales, your volume of logs also increases along with the complexity of the data. To optimize how you manage your logs could involve experimenting with different log management tools and routing workflows. Use Observability Pipelines to send your logs to multiple destinations, also known as dual shipping, so that you can evaluate different tools and workflows with minimal disruption to your production environment. -This document walks you through the following steps: +Configure your Splunk HTTP Event Collectors (HEC) to send logs to the Observability Pipelines Worker and then to multiple destinations. See [Dual Ship Logs from Splunk TCP][1] if you want to use Splunk Heavy/Universal Forwarders. + +This document walks you through the following steps to set up dual shipping: 1. Set up the Splunk index 1. Set up a pipeline in Observability Pipelines @@ -26,11 +28,14 @@ After configuring the HTTP Event Collector, use the Splunk HEC token to set up O Do the following to set up a pipeline to dual ship your logs to multiple destinations: -### Add a log source +### Add Splunk HEC for log source 1. Navigate to [Observability Pipelines][LINK]. 1. Select the **Dual Ship Logs** use case to create a new pipeline. 1. Select **Splunk HEC** as the source. +1. Enter the Splunk HEC token. +1. Enter the Splunk HEC endpoint URL in the **Splunk HEC address**. For example `https://.splunkcloud.com:8088`. See [Send Data to HTTP Event Collector][1] for more information. +**Note**: `/services/collector/event` is automatically appended to the endpoint. ### Add processors @@ -50,9 +55,10 @@ Add a query to filter your logs. {{% /tab %}} {{% tab "Quota" %}} -1. Add a query to filter you logs. -1. Select in the **Enforce by** dropdown menu how do you want to determine the quota. -1. Enter the daily quota limit. +1. Add a query to filter your logs. +1. Select in the **Unit for quota** dropdown menu if you want to determine the quota by events or volume. +1. Set the daily quota limit and select the unit of measurement. +1. Uncheck **Drop fields** if you want to…TKTK {{% /tab %}} {{% tab "Edit field" %}} @@ -85,7 +91,33 @@ For the **Rename** remap: ### Add the destinations for your logs 1. Select the destinations for your logs. -1. Enter in the Splunk endpoint URL. +1. If applicable, enter the information for the destinations selected: +{{< tabs >}} +{{% tab "Splunk HEC" %}} + +3. Enter the Splunk index. +4. In the **Encoding** dropdown menu, select whether you want to encode in **JSON** or **Raw**. +5. Check the box if you want to auto extract the timestamp. +6. Enter the `sourcetype`. + +{{% /tab %}} +{{% tab "Splunk TCP" %}} + +TKTK + +{{% /tab %}} + +{{% tab "Sumo Logic" %}} + +This destination will be configured through environment variables in the Worker deployment step. + +{{% /tab %}} +{{% tab "Datadog" %}} + +Secrets will be set (for example, the Datadog API Key) when you install the OP Worker. + +{{% /tab %}} +{{< /tabs >}} ## Install the Observability Pipelines Worker @@ -93,8 +125,8 @@ For the **Rename** remap: 1. Provide the environment variables for each of your selected destinations. {{< tabs >}} {{% tab "Splunk HEC" %}} -1. Enter the Splunk HEC token in the **DD_OP_SOURCE_SPLUNK_HEC_TOKENS** field. -1. Enter the Splunk HEC endpoint URL in the **DD_OP_SOURCE_SPLUNK_HEC_ADDRESS**. For example `https://.splunkcloud.com:8088`. See [Send Data to HTTP Event Collector][1] for more information. +1. Enter the Splunk HEC token. +1. Enter the Splunk HEC endpoint URL in the **Splunk HEC address**. For example `https://.splunkcloud.com:8088`. See [Send Data to HTTP Event Collector][1] for more information. **Note**: `/services/collector/event` is automatically appended to the endpoint. [1]: https://docs.splunk.com/Documentation/Splunk/latest/Data/UsetheHTTPEventCollector#Send_data_to_HTTP_Event_Collector @@ -102,22 +134,30 @@ For the **Rename** remap: {{% /tab %}} {{% tab "Splunk TCP" %}} -Enter the Splunk TCP address into the **DD_OP_DESTINATION_SUMO_LOGIC_HTTP_COLLECTOR_URL** field. - -[1]: /agent/guide/agent-commands/ +TKTK {{% /tab %}} {{% tab "Sumo Logic" %}} -Enter the Sumo Logic HTTP collector URL in the **DD_OP_DESTINATION_SUMO_LOGIC_HTTP_COLLECTOR_URL** field. +Enter the Sumo Logic HTTP collector URL. + +For example, `https:///reciever/v1/http/` with your Sumo Logic collection endpoint. + - `` with the string that follows the last forward slash (`/`) in the upload URL for the HTTP source. {{% /tab %}} {{% tab "Datadog" %}} -Text inside tab. [Link references][1] must be inside the tab. +TKTK -[1]: /agent/guide/agent-commands/ +{{% /tab %}} +{{% tab "Datadog Log Archives" %}} + +1. Enter the name of the S3 archive bucket you created earlier. +1. Enter the AWS region of the target service. +1. Enter the AWS access key ID of the S3 archive bucket you created earlier +1. Enter the AWS secret access key of your S3 archive bucket. {{% /tab %}} {{< /tabs >}} @@ -127,15 +167,12 @@ Text inside tab. [Link references][1] must be inside the tab. 1. Click **Select an API key** to choose the Datadog API key you want to use. 1. Run the command automatically provided in the UI to install the Worker. The command is automatically populated with the environment variables you entered earlier. -1. Run the following command to start the worker: - ``` - sudo systemctl restart observability-pipelines-worker - ``` +1. Navigate back to the Observability Pipelines installation page and click **Deploy**. {{% /tab %}} {{% tab "AWS EKS" %}} -1. Download the [Helm chart values file][link] for AWS EKS. +1. Download the [Helm chart values file][1] for AWS EKS. 1. In the Helm chart values file, replace `site` with {{< region-param key="dd_site" code="true" >}}. Make sure you have the correct site region selected in the upper right side of the page to show the site URL you need to use. See [Datadog Site][2] for more information. 1. To install the Worker, run the following commands: @@ -153,6 +190,7 @@ Text inside tab. [Link references][1] must be inside the tab. -f aws_eks.yaml ``` +[1]: /resources/yaml/observability_pipelines/v2/setup/aws_eks.yaml [2]: /getting_started/site/ {{% /tab %}} @@ -166,12 +204,7 @@ TKTK TKTK {{% /tab %}} -{{% tab "Linux (APT)" %}} - -TKTK - -{{% /tab %}} -{{% tab "Linux (RPM)" %}} +{{% tab "Linux" %}} TKTK From c393df47c019f1404ba843e0f54c4150a69ba759 Mon Sep 17 00:00:00 2001 From: May Lee Date: Mon, 11 Mar 2024 14:31:09 -0400 Subject: [PATCH 05/88] add more installation content --- .../dual_ship_logs_for_splunk_hec.md | 52 +++++++++++++++---- 1 file changed, 41 insertions(+), 11 deletions(-) diff --git a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md index 87b0a1fdcde5f..99eb730d36dd1 100644 --- a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md +++ b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md @@ -170,20 +170,17 @@ TKTK 1. Navigate back to the Observability Pipelines installation page and click **Deploy**. {{% /tab %}} -{{% tab "AWS EKS" %}} +{{% tab "Amazon EKS" %}} -1. Download the [Helm chart values file][1] for AWS EKS. +1. Download the [Helm chart values file][1] for Amazon EKS. 1. In the Helm chart values file, replace `site` with {{< region-param key="dd_site" code="true" >}}. Make sure you have the correct site region selected in the upper right side of the page to show the site URL you need to use. See [Datadog Site][2] for more information. 1. To install the Worker, run the following commands: - ```shell helm repo add datadog https://helm.datadoghq.com ``` - ```shell helm repo update ``` - ```shell helm upgrade --install \ opw datadog/observability-pipelines-worker \ @@ -192,21 +189,54 @@ TKTK [1]: /resources/yaml/observability_pipelines/v2/setup/aws_eks.yaml [2]: /getting_started/site/ - {{% /tab %}} {{% tab "Azure AKS" %}} -TKTK - +1. Download the [Helm chart values file][1] for Azure AKS. +1. In the Helm chart values file, replace `site` with {{< region-param key="dd_site" code="true" >}}. Make sure you have the correct site region selected in the upper right side of the page to show the site region URL you need to use. See [Datadog Site][2] for more information. +1. To install the Worker, run the following commands: +```shell +helm repo add datadog https://helm.datadoghq.com +``` +```shell +helm repo update +``` +```shell +helm upgrade --install \ + opw datadog/observability-pipelines-worker \ + -f azure_aks.yaml +``` +1.Navigate back to the Observability Pipelines installation page. Click **Deploy**. + +[1]: /resources/yaml/observability_pipelines/v2/setup/azure_aks.yaml +[2]: /getting_started/site/ {{% /tab %}} {{% tab "Google GKE" %}} -TKTK - +1. Download the [Helm chart values file][1] for Google GKE. +1. In the Helm chart values file, replace `site` with {{< region-param key="dd_site" code="true" >}}. Make sure you have the correct site region selected in the upper right side of the page to show the site region URL you need to use. See [Datadog Site][2] for more information. +1. To install the Worker, run the following commands: +```shell +helm repo add datadog https://helm.datadoghq.com +``` +```shell +helm repo update +``` +```shell +helm upgrade --install \ + opw datadog/observability-pipelines-worker \ + -f google_gke.yaml +``` +1.Navigate back to the Observability Pipelines installation page and click **Deploy**. + +[1]: /resources/yaml/observability_pipelines/v2/setup/google_gke.yaml +[2]: /getting_started/site/ {{% /tab %}} {{% tab "Linux" %}} -TKTK +1. Click **Select an API key** to choose the Datadog API key you want to use. +1. Run the command automatically provided in the UI to install the Worker. The command is automatically populated with the environment variables you entered earlier. +1. Navigate back to the Observability Pipelines installation page and click **Deploy**. {{% /tab %}} {{% tab "CloudFormation" %}} From 1ef3cc86e2d41eb00cca458dda49b35237a23769 Mon Sep 17 00:00:00 2001 From: May Lee Date: Mon, 11 Mar 2024 14:36:15 -0400 Subject: [PATCH 06/88] fix typos --- .../dual_ship_logs_for_splunk_hec.md | 49 ++++++++++--------- 1 file changed, 25 insertions(+), 24 deletions(-) diff --git a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md index 99eb730d36dd1..02f56aa82bf9c 100644 --- a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md +++ b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md @@ -186,6 +186,7 @@ TKTK opw datadog/observability-pipelines-worker \ -f aws_eks.yaml ``` +1. Navigate back to the Observability Pipelines installation page. Click **Deploy**. [1]: /resources/yaml/observability_pipelines/v2/setup/aws_eks.yaml [2]: /getting_started/site/ @@ -195,18 +196,18 @@ TKTK 1. Download the [Helm chart values file][1] for Azure AKS. 1. In the Helm chart values file, replace `site` with {{< region-param key="dd_site" code="true" >}}. Make sure you have the correct site region selected in the upper right side of the page to show the site region URL you need to use. See [Datadog Site][2] for more information. 1. To install the Worker, run the following commands: -```shell -helm repo add datadog https://helm.datadoghq.com -``` -```shell -helm repo update -``` -```shell -helm upgrade --install \ - opw datadog/observability-pipelines-worker \ - -f azure_aks.yaml -``` -1.Navigate back to the Observability Pipelines installation page. Click **Deploy**. + ```shell + helm repo add datadog https://helm.datadoghq.com + ``` + ```shell + helm repo update + ``` + ```shell + helm upgrade --install \ + opw datadog/observability-pipelines-worker \ + -f azure_aks.yaml + ``` +1. Navigate back to the Observability Pipelines installation page. Click **Deploy**. [1]: /resources/yaml/observability_pipelines/v2/setup/azure_aks.yaml [2]: /getting_started/site/ @@ -216,18 +217,18 @@ helm upgrade --install \ 1. Download the [Helm chart values file][1] for Google GKE. 1. In the Helm chart values file, replace `site` with {{< region-param key="dd_site" code="true" >}}. Make sure you have the correct site region selected in the upper right side of the page to show the site region URL you need to use. See [Datadog Site][2] for more information. 1. To install the Worker, run the following commands: -```shell -helm repo add datadog https://helm.datadoghq.com -``` -```shell -helm repo update -``` -```shell -helm upgrade --install \ - opw datadog/observability-pipelines-worker \ - -f google_gke.yaml -``` -1.Navigate back to the Observability Pipelines installation page and click **Deploy**. + ```shell + helm repo add datadog https://helm.datadoghq.com + ``` + ```shell + helm repo update + ``` + ```shell + helm upgrade --install \ + opw datadog/observability-pipelines-worker \ + -f google_gke.yaml + ``` +1. Navigate back to the Observability Pipelines installation page and click **Deploy**. [1]: /resources/yaml/observability_pipelines/v2/setup/google_gke.yaml [2]: /getting_started/site/ From 83a22fb504e8cb532bd27608cd5c17de652ecbc3 Mon Sep 17 00:00:00 2001 From: May Lee Date: Mon, 11 Mar 2024 14:37:41 -0400 Subject: [PATCH 07/88] another typo --- .../dual_ship_logs/dual_ship_logs_for_splunk_hec.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md index 02f56aa82bf9c..93a9867c6010d 100644 --- a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md +++ b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md @@ -227,7 +227,7 @@ TKTK helm upgrade --install \ opw datadog/observability-pipelines-worker \ -f google_gke.yaml - ``` + ``` 1. Navigate back to the Observability Pipelines installation page and click **Deploy**. [1]: /resources/yaml/observability_pipelines/v2/setup/google_gke.yaml From a735a67bf68cd13fdaad0aa579fd22f6af03c6b2 Mon Sep 17 00:00:00 2001 From: May Lee Date: Mon, 11 Mar 2024 15:44:44 -0400 Subject: [PATCH 08/88] add landing page --- content/en/observability_pipelines/_index.md | 31 ++++++++++++++++++++ 1 file changed, 31 insertions(+) diff --git a/content/en/observability_pipelines/_index.md b/content/en/observability_pipelines/_index.md index e69de29bb2d1d..37e47c7e04633 100644 --- a/content/en/observability_pipelines/_index.md +++ b/content/en/observability_pipelines/_index.md @@ -0,0 +1,31 @@ +--- +title: Observability Pipelines +kind: documentation +disable_toc: false +--- + +## Overview + +Observability Pipelines allows you to collect, process, and route logs for the following use cases: + +- Dual ship logs: Send your logs to multiple destinations. +- Log volume control: Cut down on your log volume and trim down the size of your logs before it leaves your infrastructure or network. +- Split logs: Send your logs to different destinations based on your use case. For example, you can devops logs to Datadog and security logs to another destination. +- Archive logs: Send logs to Datadog log archives and another destination. +- Redact data before routing your logs to a destination. + +The Observability Pipelines Worker is the software that runs in your infrastructure. It aggregates and centrally processes and routes your data based on the selected use case. + +The Datadog UI provides a control plane to manage your Observability Pipelines Workers. You can monitor your pipelines to understand the health of your pipelines, identify bottlenecks and latencies, and investigate your largest volume contributors. + +## Get started + +1. Navigate to [Observability Pipelines][LINK]. +1. Select a use case: + - [Dual ship logs][1] + - Log volume control + - Split logs + - Archive logs + - Redact data before routing + +[1]: content/en/observability_pipelines/dual_ship_logs/ \ No newline at end of file From 7e4942481ad776677391194c004bff5d6a0d6f24 Mon Sep 17 00:00:00 2001 From: May Lee Date: Tue, 12 Mar 2024 14:31:01 -0400 Subject: [PATCH 09/88] add update existing pipelines --- .../dual_ship_logs_for_splunk_hec.md | 142 +++++++++++++++++- 1 file changed, 141 insertions(+), 1 deletion(-) diff --git a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md index 93a9867c6010d..c0d2d5eb8b43e 100644 --- a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md +++ b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md @@ -137,7 +137,6 @@ Secrets will be set (for example, the Datadog API Key) when you install the OP W TKTK {{% /tab %}} - {{% tab "Sumo Logic" %}} Enter the Sumo Logic HTTP collector URL. @@ -251,5 +250,146 @@ TKTK {{% /tab %}} {{< /tabs >}} +## Update existing pipelines + +For existing pipelines, you can update processors in the Observability Pipelines UI, but if you want to update source and destination environment variables, you need to manually update the Worker with the new values. + +### Source environment variables + +These are the source environment variables that you can update: + +{{< tabs >}} +{{% tab "Splunk HEC" %}} + +`SPLUNK_TOKEN` +: The Splunk HEC token for the Splunk indexer from where you want to send logs to the Observability Pipelines Worker. + +`SPLUNK_HEC_ENDPOINT_URL` +: The Observability Pipelines Worker listens to this Splunk HTTP endpoint to receive logs originally intended for the Splunk indexer. + +{{% /tab %}} +{{% tab "Splunk TCP" %}} + +`DD_OP_SOURCE_SPLUNK_TCP_ADDRESS` +: The Observbaility Pipelines Worker listens to this socket address to receive logs from the Splunk Forwarder. + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +`DD_OP_SOURCE_SUMO_LOGIC_ADDRESS` +: The Observability Pipelines Worker listens to this socket address to receive logs from the Sumo Logic Hosted Collector. + +{{% /tab %}} +{{% tab "Datadog" %}} + +`DD_OP_SOURCE_DATADOG_AGENT_ADDRESS` +: The Observability Pipelines Worker listens to this socket address to receive logs from the Datadog Agent. + +{{% /tab %}} +{{< /tabs >}} + +### Destination environment variables + +These are the destination environment variables that you can update: + +{{< tabs >}} +{{% tab "Splunk HEC" %}} + +`DD_OP_DESTINATION_SPLUNK_HEC_TOKEN` +: The Splunk HEC token for the Splunk indexer you want to send logs from the Observability Pipelines Worker to. + +`DD_OP_DESTINATION_SPLUNK_HEC_ENDPOINT_URL` +: TKTK + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +`DD_OP_DESTINATION_SUMO_LOGIC_HTTP_COLLECTOR_URL` +: The Sumo Logic collection endpoint. + +{{% /tab %}} +{{% tab "Datadog" %}} + +TKTK + +{{% /tab %}} +{{% tab "Datadog Log Archives" %}} + +`DD_OP_DESTINATION_DATADOG_ARCHIVES_BUCKET` +: The name of the S3 bucket for storing archives. + +`DD_OP_DESTINATION_ARCHIVES_REGION` +: The AWS region of the target service. + +`DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_ACCESS_KEY_ID` +: The AWS access key ID for the S3 archive bucket. + +`DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_SECRET_KEY` +: The AWS secret access key ID for the S3 archive bucket. + +{{% /tab %}} +{{< /tabs >}} + +### Update the Worker + +You need to manually update your Worker with the new values for the environment variables. + +#### Example + +For example, if you want to update the following Splunk source variables: + +- `SPLUNK_TOKEN=` +- `SPLUNK_HEC_ENDPOINT_URL=` + +And also update the following Datadog Log Archives destination variables: +- `DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_ACCESS_KEY_ID=` +- `DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_SECRET_ACCESS_KEY=` + +Run the following command for your environment to update the Worker: + +{{< tabs >}} +{{% tab "Docker" %}} + +TKTK + +{{% /tab %}} +{{% tab "Amazon EKS" %}} + +TKTK + +{{% /tab %}} +{{% tab "Azure AKS" %}} + +TKTK + +{{% /tab %}} + +{{% tab "Google GKE" %}} + +TKTK + +{{% /tab %}} +{{% tab "Linux (APT)" %}} + +TKTK + +{{% /tab %}} +{{% tab "Linux (RPM)" %}} + +TKTK + +{{% /tab %}} +{{% tab "CloudFormation" %}} + +TKTK + +{{% /tab %}} +{{% tab "Terraform (AWS)" %}} + +TKTK + +{{% /tab %}} +{{< /tabs >}} + [1]: /obs_pipelines/dual_ship_logs_for_splunk_tcp [2]: https://docs.splunk.com/Documentation/Splunk/latest/Data/UsetheHTTPEventCollector \ No newline at end of file From d4a950ced0e06dd6d76cef56dc9f78d0104dbba6 Mon Sep 17 00:00:00 2001 From: May Lee Date: Tue, 12 Mar 2024 14:42:37 -0400 Subject: [PATCH 10/88] add existing doc as separate doc --- config/_default/menus/menus.en.yaml | 20 +++ .../update_existing_pipelines.md | 146 ++++++++++++++++++ 2 files changed, 166 insertions(+) create mode 100644 content/en/observability_pipelines/update_existing_pipelines.md diff --git a/config/_default/menus/menus.en.yaml b/config/_default/menus/menus.en.yaml index d06925e4b2109..d0f2387cfd998 100644 --- a/config/_default/menus/menus.en.yaml +++ b/config/_default/menus/menus.en.yaml @@ -3392,6 +3392,26 @@ main: parent: observability_pipelines_log_volume_control identifier: observability_pipelines_log_volume_control_sumo_logic weight: 1003 + - name: Split Logs + url: observability_pipelines/split_logs/ + parent: observability_pipelines + identifier: observability_pipelines_split_logs + weight: 3 + - name: Archive Logs + url: observability_pipelines/archive_logs/ + parent: observability_pipelines + identifier: observability_pipelines_archive_logs + weight: 4 + - name: Redact log data + url: observability_pipelines/redact_log_data/ + parent: observability_pipelines + identifier: observability_pipelines_redact_log_data + weight: 5 + - name: Update Existing Pipelines + url: observability_pipelines/update_existing_pipelines/ + parent: observability_pipelines + identifier: observability_pipelines_update_existing_pipelines + weight: 6 - name: Log Management url: logs/ pre: log diff --git a/content/en/observability_pipelines/update_existing_pipelines.md b/content/en/observability_pipelines/update_existing_pipelines.md new file mode 100644 index 0000000000000..5a4bc642659a7 --- /dev/null +++ b/content/en/observability_pipelines/update_existing_pipelines.md @@ -0,0 +1,146 @@ +--- +title: Update Existing Pipelines +kind: documentation +disable_toc: false +--- + +## Overview + +For existing pipelines in Observability Pipelines, you can update processors in the Observability Pipelines UI. But if you want to update source and destination environment variables, you need to manually update the Worker with the new values. + +## Source environment variables + +These are the source environment variables that you can update: + +{{< tabs >}} +{{% tab "Splunk HEC" %}} + +`SPLUNK_TOKEN` +: The Splunk HEC token for the Splunk indexer from where you want to send logs to the Observability Pipelines Worker. + +`SPLUNK_HEC_ENDPOINT_URL` +: The Observability Pipelines Worker listens to this Splunk HTTP endpoint to receive logs originally intended for the Splunk indexer. + +{{% /tab %}} +{{% tab "Splunk TCP" %}} + +`DD_OP_SOURCE_SPLUNK_TCP_ADDRESS` +: The Observbaility Pipelines Worker listens to this socket address to receive logs from the Splunk Forwarder. + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +`DD_OP_SOURCE_SUMO_LOGIC_ADDRESS` +: The Observability Pipelines Worker listens to this socket address to receive logs from the Sumo Logic Hosted Collector. + +{{% /tab %}} +{{% tab "Datadog" %}} + +`DD_OP_SOURCE_DATADOG_AGENT_ADDRESS` +: The Observability Pipelines Worker listens to this socket address to receive logs from the Datadog Agent. + +{{% /tab %}} +{{< /tabs >}} + +## Destination environment variables + +These are the destination environment variables that you can update: + +{{< tabs >}} +{{% tab "Splunk HEC" %}} + +`DD_OP_DESTINATION_SPLUNK_HEC_TOKEN` +: The Splunk HEC token for the Splunk indexer you want to send logs from the Observability Pipelines Worker to. + +`DD_OP_DESTINATION_SPLUNK_HEC_ENDPOINT_URL` +: TKTK + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +`DD_OP_DESTINATION_SUMO_LOGIC_HTTP_COLLECTOR_URL` +: The Sumo Logic collection endpoint. + +{{% /tab %}} +{{% tab "Datadog" %}} + +TKTK + +{{% /tab %}} +{{% tab "Datadog Log Archives" %}} + +`DD_OP_DESTINATION_DATADOG_ARCHIVES_BUCKET` +: The name of the S3 bucket for storing archives. + +`DD_OP_DESTINATION_ARCHIVES_REGION` +: The AWS region of the target service. + +`DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_ACCESS_KEY_ID` +: The AWS access key ID for the S3 archive bucket. + +`DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_SECRET_KEY` +: The AWS secret access key ID for the S3 archive bucket. + +{{% /tab %}} +{{< /tabs >}} + +## Update the Worker + +You need to manually update your Worker with the new values for the environment variables. + +#### Example + +For example, if you want to update the following Splunk source variables: + +- `SPLUNK_TOKEN=` +- `SPLUNK_HEC_ENDPOINT_URL=` + +And also update the following Datadog Log Archives destination variables: +- `DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_ACCESS_KEY_ID=` +- `DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_SECRET_ACCESS_KEY=` + +Run the following command for your environment to update the Worker: + +{{< tabs >}} +{{% tab "Docker" %}} + +TKTK + +{{% /tab %}} +{{% tab "Amazon EKS" %}} + +TKTK + +{{% /tab %}} +{{% tab "Azure AKS" %}} + +TKTK + +{{% /tab %}} + +{{% tab "Google GKE" %}} + +TKTK + +{{% /tab %}} +{{% tab "Linux (APT)" %}} + +TKTK + +{{% /tab %}} +{{% tab "Linux (RPM)" %}} + +TKTK + +{{% /tab %}} +{{% tab "CloudFormation" %}} + +TKTK + +{{% /tab %}} +{{% tab "Terraform (AWS)" %}} + +TKTK + +{{% /tab %}} +{{< /tabs >}} From be1e77bf5b7497adf41bcd289d333f5a678ac939 Mon Sep 17 00:00:00 2001 From: May Lee Date: Tue, 12 Mar 2024 16:51:05 -0400 Subject: [PATCH 11/88] small edits --- content/en/observability_pipelines/dual_ship_logs/_index.md | 2 +- .../dual_ship_logs/dual_ship_logs_for_splunk_hec.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/content/en/observability_pipelines/dual_ship_logs/_index.md b/content/en/observability_pipelines/dual_ship_logs/_index.md index c6de8d7d15b6a..a35a66760ddd2 100644 --- a/content/en/observability_pipelines/dual_ship_logs/_index.md +++ b/content/en/observability_pipelines/dual_ship_logs/_index.md @@ -6,7 +6,7 @@ disable_toc: false ## Overview -As your infrastructure scales, your volume of logs also increases along with the complexity of the data. To optimize how you manage your logs could involve experimenting with different log management tools and routing workflows. Use Observability Pipelines to send your logs to multiple destinations, also known as dual shipping, so that you can evaluate different tools and workflows with minimal disruption to your production environment. +As your infrastructure scales, your log volume also increases and so does the complexity of the data. To optimize how you manage your logs, you might need to experiment with different log management tools and routing workflows. Use Observability Pipelines to send your logs to multiple destinations, also known as dual shipping, so that you can evaluate different tools and workflows with minimal disruption to your production environment. Select the source from which you want to dual ship logs: diff --git a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md index c0d2d5eb8b43e..d5a752d6bbb5e 100644 --- a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md +++ b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md @@ -6,7 +6,7 @@ disable_toc: false ## Overview -As your infrastructure scales, your volume of logs also increases along with the complexity of the data. To optimize how you manage your logs could involve experimenting with different log management tools and routing workflows. Use Observability Pipelines to send your logs to multiple destinations, also known as dual shipping, so that you can evaluate different tools and workflows with minimal disruption to your production environment. +As your infrastructure scales, your log volume also increases and so does the complexity of the data. To optimize how you manage your logs, you might need to experiment with different log management tools and routing workflows. Use Observability Pipelines to send your logs to multiple destinations, also known as dual shipping, so that you can evaluate different tools and workflows with minimal disruption to your production environment. Configure your Splunk HTTP Event Collectors (HEC) to send logs to the Observability Pipelines Worker and then to multiple destinations. See [Dual Ship Logs from Splunk TCP][1] if you want to use Splunk Heavy/Universal Forwarders. From b6f2d0c977c10fc1c5eaa4e034dd2c82b2eca2b8 Mon Sep 17 00:00:00 2001 From: May Lee Date: Wed, 13 Mar 2024 09:21:19 -0400 Subject: [PATCH 12/88] update to configure existing pipelines --- config/_default/menus/menus.en.yaml | 6 +++--- ...xisting_pipelines.md => configure_existing_pipelines.md} | 2 +- .../dual_ship_logs/dual_ship_logs_for_splunk_hec.md | 2 +- 3 files changed, 5 insertions(+), 5 deletions(-) rename content/en/observability_pipelines/{update_existing_pipelines.md => configure_existing_pipelines.md} (98%) diff --git a/config/_default/menus/menus.en.yaml b/config/_default/menus/menus.en.yaml index d0f2387cfd998..1f0bbe0aed5ad 100644 --- a/config/_default/menus/menus.en.yaml +++ b/config/_default/menus/menus.en.yaml @@ -3407,10 +3407,10 @@ main: parent: observability_pipelines identifier: observability_pipelines_redact_log_data weight: 5 - - name: Update Existing Pipelines - url: observability_pipelines/update_existing_pipelines/ + - name: Configure Existing Pipelines + url: observability_pipelines/configure_existing_pipelines/ parent: observability_pipelines - identifier: observability_pipelines_update_existing_pipelines + identifier: observability_pipelines_configure_existing_pipelines weight: 6 - name: Log Management url: logs/ diff --git a/content/en/observability_pipelines/update_existing_pipelines.md b/content/en/observability_pipelines/configure_existing_pipelines.md similarity index 98% rename from content/en/observability_pipelines/update_existing_pipelines.md rename to content/en/observability_pipelines/configure_existing_pipelines.md index 5a4bc642659a7..99554b6f7a0e8 100644 --- a/content/en/observability_pipelines/update_existing_pipelines.md +++ b/content/en/observability_pipelines/configure_existing_pipelines.md @@ -1,5 +1,5 @@ --- -title: Update Existing Pipelines +title: Configure Existing Pipelines kind: documentation disable_toc: false --- diff --git a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md index d5a752d6bbb5e..5ddb90a91ed35 100644 --- a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md +++ b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md @@ -250,7 +250,7 @@ TKTK {{% /tab %}} {{< /tabs >}} -## Update existing pipelines +## Configure existing pipelines For existing pipelines, you can update processors in the Observability Pipelines UI, but if you want to update source and destination environment variables, you need to manually update the Worker with the new values. From 39be809297028d4283c4534af030b102ca45593e Mon Sep 17 00:00:00 2001 From: May Lee Date: Wed, 13 Mar 2024 09:40:52 -0400 Subject: [PATCH 13/88] add migration note --- content/en/observability_pipelines/_index.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/content/en/observability_pipelines/_index.md b/content/en/observability_pipelines/_index.md index 37e47c7e04633..b698710cf2522 100644 --- a/content/en/observability_pipelines/_index.md +++ b/content/en/observability_pipelines/_index.md @@ -6,6 +6,8 @@ disable_toc: false ## Overview +
This documentation is for Observability Pipelines Worker (OPW) 2.0. If you are using OPW 1.8 and want to use OPW 2.0, you must migrate your OPW 1.8 pipelines to OPW 2.0.
+ Observability Pipelines allows you to collect, process, and route logs for the following use cases: - Dual ship logs: Send your logs to multiple destinations. From 218171b978116b61a7ca0ea5f259d0385e5b390b Mon Sep 17 00:00:00 2001 From: May Lee Date: Wed, 13 Mar 2024 10:18:59 -0400 Subject: [PATCH 14/88] edit processor --- .../dual_ship_logs/dual_ship_logs_for_splunk_hec.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md index 5ddb90a91ed35..b3c5d21586e58 100644 --- a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md +++ b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md @@ -39,7 +39,7 @@ Do the following to set up a pipeline to dual ship your logs to multiple destina ### Add processors -There are pre-selected processors and you can add additional processors for your use case. The following processors are available: +There are pre-selected processors and you can add additional processors for your use case. The order of the processors is important because a log can match multiple filters. Click on the drag handle icon on the top left corner of the processor to reorder it. The following processors are available: {{< tabs >}} {{% tab "Filter" %}} From 6f9b809e269c248971273d954a984afb62578d9f Mon Sep 17 00:00:00 2001 From: May Lee Date: Wed, 13 Mar 2024 11:22:52 -0400 Subject: [PATCH 15/88] add docker example --- .../configure_existing_pipelines.md | 27 ++++++++++++++---- .../dual_ship_logs_for_splunk_hec.md | 28 +++++++++++++++---- 2 files changed, 44 insertions(+), 11 deletions(-) diff --git a/content/en/observability_pipelines/configure_existing_pipelines.md b/content/en/observability_pipelines/configure_existing_pipelines.md index 99554b6f7a0e8..617da33e113c1 100644 --- a/content/en/observability_pipelines/configure_existing_pipelines.md +++ b/content/en/observability_pipelines/configure_existing_pipelines.md @@ -8,7 +8,13 @@ disable_toc: false For existing pipelines in Observability Pipelines, you can update processors in the Observability Pipelines UI. But if you want to update source and destination environment variables, you need to manually update the Worker with the new values. -## Source environment variables +## Update an existing pipeline + +1. Navgate to [Observability Pipelines][LINK]. +1. Select the pipeline you want to update. +1. Click **Edit Pipeline in the top right corner. + +### Source environment variables These are the source environment variables that you can update: @@ -19,7 +25,8 @@ These are the source environment variables that you can update: : The Splunk HEC token for the Splunk indexer from where you want to send logs to the Observability Pipelines Worker. `SPLUNK_HEC_ENDPOINT_URL` -: The Observability Pipelines Worker listens to this Splunk HTTP endpoint to receive logs originally intended for the Splunk indexer. +: The Observability Pipelines Worker listens to this Splunk HTTP endpoint to receive logs originally intended for the Splunk indexer. For example `https://.splunkcloud.com:8088`. +**Note**: `/services/collector/event` is automatically appended to the endpoint. {{% /tab %}} {{% tab "Splunk TCP" %}} @@ -42,7 +49,7 @@ These are the source environment variables that you can update: {{% /tab %}} {{< /tabs >}} -## Destination environment variables +### Destination environment variables These are the destination environment variables that you can update: @@ -84,7 +91,7 @@ TKTK {{% /tab %}} {{< /tabs >}} -## Update the Worker +### Update the Worker You need to manually update your Worker with the new values for the environment variables. @@ -104,7 +111,17 @@ Run the following command for your environment to update the Worker: {{< tabs >}} {{% tab "Docker" %}} -TKTK +``` +docker run -i -e DD_API_KEY=XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX \ + -e DD_OP_PIPELINE_ID=dbfdba26-e14b-11ee-893c-da7ad0900002 \ + -e DD_SITE=datadoghq.com \ + -e SPLUNK_TOKEN= \ + -e SPLUNK_HEC_ENDPOINT_URL= \ + -e DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_ACCESS_KEY_ID= \ + -e DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_SECRET_ACCESS_KEY= \ + -p 8282:8282 \ + datadog/observability-pipelines-worker run +``` {{% /tab %}} {{% tab "Amazon EKS" %}} diff --git a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md index b3c5d21586e58..5745f69017164 100644 --- a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md +++ b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md @@ -26,12 +26,11 @@ After configuring the HTTP Event Collector, use the Splunk HEC token to set up O ## Set up a pipeline -Do the following to set up a pipeline to dual ship your logs to multiple destinations: - -### Add Splunk HEC for log source - 1. Navigate to [Observability Pipelines][LINK]. 1. Select the **Dual Ship Logs** use case to create a new pipeline. + +### Add Splunk HEC for the log source + 1. Select **Splunk HEC** as the source. 1. Enter the Splunk HEC token. 1. Enter the Splunk HEC endpoint URL in the **Splunk HEC address**. For example `https://.splunkcloud.com:8088`. See [Send Data to HTTP Event Collector][1] for more information. @@ -254,6 +253,10 @@ TKTK For existing pipelines, you can update processors in the Observability Pipelines UI, but if you want to update source and destination environment variables, you need to manually update the Worker with the new values. +1. Navgate to [Observability Pipelines][LINK]. +1. Select the pipeline you want to update. +1. Click **Edit Pipeline in the top right corner. + ### Source environment variables These are the source environment variables that you can update: @@ -265,7 +268,10 @@ These are the source environment variables that you can update: : The Splunk HEC token for the Splunk indexer from where you want to send logs to the Observability Pipelines Worker. `SPLUNK_HEC_ENDPOINT_URL` -: The Observability Pipelines Worker listens to this Splunk HTTP endpoint to receive logs originally intended for the Splunk indexer. +: The Observability Pipelines Worker listens to this Splunk HTTP endpoint to receive logs originally intended for the Splunk indexer. For example `https://.splunkcloud.com:8088`. +**Note**: `/services/collector/event` is automatically appended to the endpoint. + +[1]: https://docs.splunk.com/Documentation/Splunk/latest/Data/UsetheHTTPEventCollector {{% /tab %}} {{% tab "Splunk TCP" %}} @@ -350,7 +356,17 @@ Run the following command for your environment to update the Worker: {{< tabs >}} {{% tab "Docker" %}} -TKTK +``` +docker run -i -e DD_API_KEY=XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX \ + -e DD_OP_PIPELINE_ID=dbfdba26-e14b-11ee-893c-da7ad0900002 \ + -e DD_SITE=datadoghq.com \ + -e SPLUNK_TOKEN= \ + -e SPLUNK_HEC_ENDPOINT_URL= \ + -e DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_ACCESS_KEY_ID= \ + -e DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_SECRET_ACCESS_KEY= \ + -p 8282:8282 \ + datadog/observability-pipelines-worker run +``` {{% /tab %}} {{% tab "Amazon EKS" %}} From d121a2319dcb892782b59e24b38a691fb1a8770b Mon Sep 17 00:00:00 2001 From: May Lee Date: Wed, 13 Mar 2024 11:35:33 -0400 Subject: [PATCH 16/88] small edit --- .../observability_pipelines/configure_existing_pipelines.md | 4 +++- .../dual_ship_logs/dual_ship_logs_for_splunk_hec.md | 4 +++- 2 files changed, 6 insertions(+), 2 deletions(-) diff --git a/content/en/observability_pipelines/configure_existing_pipelines.md b/content/en/observability_pipelines/configure_existing_pipelines.md index 617da33e113c1..f089cf480936c 100644 --- a/content/en/observability_pipelines/configure_existing_pipelines.md +++ b/content/en/observability_pipelines/configure_existing_pipelines.md @@ -106,11 +106,13 @@ And also update the following Datadog Log Archives destination variables: - `DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_ACCESS_KEY_ID=` - `DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_SECRET_ACCESS_KEY=` -Run the following command for your environment to update the Worker: +Select the environment your Worker is running in: {{< tabs >}} {{% tab "Docker" %}} +Run the following command to update the Worker: + ``` docker run -i -e DD_API_KEY=XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX \ -e DD_OP_PIPELINE_ID=dbfdba26-e14b-11ee-893c-da7ad0900002 \ diff --git a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md index 5745f69017164..fbb9962f0f0c1 100644 --- a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md +++ b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md @@ -351,11 +351,13 @@ And also update the following Datadog Log Archives destination variables: - `DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_ACCESS_KEY_ID=` - `DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_SECRET_ACCESS_KEY=` -Run the following command for your environment to update the Worker: +Select the environment your Worker is running in: {{< tabs >}} {{% tab "Docker" %}} +Run the following command to update the Worker: + ``` docker run -i -e DD_API_KEY=XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX \ -e DD_OP_PIPELINE_ID=dbfdba26-e14b-11ee-893c-da7ad0900002 \ From 0c4eb1baf03a08486b6e37b74de2837509999eb8 Mon Sep 17 00:00:00 2001 From: May Lee Date: Wed, 13 Mar 2024 14:22:09 -0400 Subject: [PATCH 17/88] update existing pipelines --- content/en/observability_pipelines/_index.md | 2 - .../configure_existing_pipelines.md | 57 ++++--- .../dual_ship_logs_for_splunk_hec.md | 160 ------------------ 3 files changed, 36 insertions(+), 183 deletions(-) diff --git a/content/en/observability_pipelines/_index.md b/content/en/observability_pipelines/_index.md index b698710cf2522..37e47c7e04633 100644 --- a/content/en/observability_pipelines/_index.md +++ b/content/en/observability_pipelines/_index.md @@ -6,8 +6,6 @@ disable_toc: false ## Overview -
This documentation is for Observability Pipelines Worker (OPW) 2.0. If you are using OPW 1.8 and want to use OPW 2.0, you must migrate your OPW 1.8 pipelines to OPW 2.0.
- Observability Pipelines allows you to collect, process, and route logs for the following use cases: - Dual ship logs: Send your logs to multiple destinations. diff --git a/content/en/observability_pipelines/configure_existing_pipelines.md b/content/en/observability_pipelines/configure_existing_pipelines.md index f089cf480936c..1b6e2f6c2a47a 100644 --- a/content/en/observability_pipelines/configure_existing_pipelines.md +++ b/content/en/observability_pipelines/configure_existing_pipelines.md @@ -93,12 +93,37 @@ TKTK ### Update the Worker -You need to manually update your Worker with the new values for the environment variables. +You need to manually update your Worker with the new values for the environment variables. + +Select the environment your Worker is running in: + +{{< tabs >}} +{{% tab "Docker" %}} + +The general command to update the Worker is: + +``` +docker run -i -e DD_API_KEY= \ + -e DD_OP_PIPELINE_ID= \ + -e DD_SITE= \ + -e \ + -e \ + -p 8282:8282 \ + datadog/observability-pipelines-worker run +``` + +You need to replace the following placeholders: +- `` with the Datadog API key. +- `` with the pipeline ID. To get the pipeline ID: + - Navigate to your pipeline. + - Click FILL IN +- `` with {{< region-param key="dd_site" code="true" >}}. Make sure you have the correct site region selected in the upper right side of the page to show the site region URL you need to use. +- `` with the source environment variables if you are updating it. +- `` with the destination environment variables if you are updating it. #### Example For example, if you want to update the following Splunk source variables: - - `SPLUNK_TOKEN=` - `SPLUNK_HEC_ENDPOINT_URL=` @@ -106,21 +131,16 @@ And also update the following Datadog Log Archives destination variables: - `DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_ACCESS_KEY_ID=` - `DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_SECRET_ACCESS_KEY=` -Select the environment your Worker is running in: - -{{< tabs >}} -{{% tab "Docker" %}} - -Run the following command to update the Worker: +You need to run the following command to update the Worker. ``` -docker run -i -e DD_API_KEY=XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX \ - -e DD_OP_PIPELINE_ID=dbfdba26-e14b-11ee-893c-da7ad0900002 \ - -e DD_SITE=datadoghq.com \ - -e SPLUNK_TOKEN= \ - -e SPLUNK_HEC_ENDPOINT_URL= \ - -e DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_ACCESS_KEY_ID= \ - -e DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_SECRET_ACCESS_KEY= \ +docker run -i -e DD_API_KEY= \ + -e DD_OP_PIPELINE_ID= \ + -e DD_SITE= \ + -e SPLUNK_TOKEN= \ + -e SPLUNK_HEC_ENDPOINT_URL= \ + -e DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_ACCESS_KEY_ID= \ + -e DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_SECRET_ACCESS_KEY= \ -p 8282:8282 \ datadog/observability-pipelines-worker run ``` @@ -142,12 +162,7 @@ TKTK TKTK {{% /tab %}} -{{% tab "Linux (APT)" %}} - -TKTK - -{{% /tab %}} -{{% tab "Linux (RPM)" %}} +{{% tab "Linux" %}} TKTK diff --git a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md index fbb9962f0f0c1..7876cf6459193 100644 --- a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md +++ b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md @@ -249,165 +249,5 @@ TKTK {{% /tab %}} {{< /tabs >}} -## Configure existing pipelines - -For existing pipelines, you can update processors in the Observability Pipelines UI, but if you want to update source and destination environment variables, you need to manually update the Worker with the new values. - -1. Navgate to [Observability Pipelines][LINK]. -1. Select the pipeline you want to update. -1. Click **Edit Pipeline in the top right corner. - -### Source environment variables - -These are the source environment variables that you can update: - -{{< tabs >}} -{{% tab "Splunk HEC" %}} - -`SPLUNK_TOKEN` -: The Splunk HEC token for the Splunk indexer from where you want to send logs to the Observability Pipelines Worker. - -`SPLUNK_HEC_ENDPOINT_URL` -: The Observability Pipelines Worker listens to this Splunk HTTP endpoint to receive logs originally intended for the Splunk indexer. For example `https://.splunkcloud.com:8088`. -**Note**: `/services/collector/event` is automatically appended to the endpoint. - -[1]: https://docs.splunk.com/Documentation/Splunk/latest/Data/UsetheHTTPEventCollector - -{{% /tab %}} -{{% tab "Splunk TCP" %}} - -`DD_OP_SOURCE_SPLUNK_TCP_ADDRESS` -: The Observbaility Pipelines Worker listens to this socket address to receive logs from the Splunk Forwarder. - -{{% /tab %}} -{{% tab "Sumo Logic" %}} - -`DD_OP_SOURCE_SUMO_LOGIC_ADDRESS` -: The Observability Pipelines Worker listens to this socket address to receive logs from the Sumo Logic Hosted Collector. - -{{% /tab %}} -{{% tab "Datadog" %}} - -`DD_OP_SOURCE_DATADOG_AGENT_ADDRESS` -: The Observability Pipelines Worker listens to this socket address to receive logs from the Datadog Agent. - -{{% /tab %}} -{{< /tabs >}} - -### Destination environment variables - -These are the destination environment variables that you can update: - -{{< tabs >}} -{{% tab "Splunk HEC" %}} - -`DD_OP_DESTINATION_SPLUNK_HEC_TOKEN` -: The Splunk HEC token for the Splunk indexer you want to send logs from the Observability Pipelines Worker to. - -`DD_OP_DESTINATION_SPLUNK_HEC_ENDPOINT_URL` -: TKTK - -{{% /tab %}} -{{% tab "Sumo Logic" %}} - -`DD_OP_DESTINATION_SUMO_LOGIC_HTTP_COLLECTOR_URL` -: The Sumo Logic collection endpoint. - -{{% /tab %}} -{{% tab "Datadog" %}} - -TKTK - -{{% /tab %}} -{{% tab "Datadog Log Archives" %}} - -`DD_OP_DESTINATION_DATADOG_ARCHIVES_BUCKET` -: The name of the S3 bucket for storing archives. - -`DD_OP_DESTINATION_ARCHIVES_REGION` -: The AWS region of the target service. - -`DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_ACCESS_KEY_ID` -: The AWS access key ID for the S3 archive bucket. - -`DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_SECRET_KEY` -: The AWS secret access key ID for the S3 archive bucket. - -{{% /tab %}} -{{< /tabs >}} - -### Update the Worker - -You need to manually update your Worker with the new values for the environment variables. - -#### Example - -For example, if you want to update the following Splunk source variables: - -- `SPLUNK_TOKEN=` -- `SPLUNK_HEC_ENDPOINT_URL=` - -And also update the following Datadog Log Archives destination variables: -- `DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_ACCESS_KEY_ID=` -- `DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_SECRET_ACCESS_KEY=` - -Select the environment your Worker is running in: - -{{< tabs >}} -{{% tab "Docker" %}} - -Run the following command to update the Worker: - -``` -docker run -i -e DD_API_KEY=XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX \ - -e DD_OP_PIPELINE_ID=dbfdba26-e14b-11ee-893c-da7ad0900002 \ - -e DD_SITE=datadoghq.com \ - -e SPLUNK_TOKEN= \ - -e SPLUNK_HEC_ENDPOINT_URL= \ - -e DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_ACCESS_KEY_ID= \ - -e DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_SECRET_ACCESS_KEY= \ - -p 8282:8282 \ - datadog/observability-pipelines-worker run -``` - -{{% /tab %}} -{{% tab "Amazon EKS" %}} - -TKTK - -{{% /tab %}} -{{% tab "Azure AKS" %}} - -TKTK - -{{% /tab %}} - -{{% tab "Google GKE" %}} - -TKTK - -{{% /tab %}} -{{% tab "Linux (APT)" %}} - -TKTK - -{{% /tab %}} -{{% tab "Linux (RPM)" %}} - -TKTK - -{{% /tab %}} -{{% tab "CloudFormation" %}} - -TKTK - -{{% /tab %}} -{{% tab "Terraform (AWS)" %}} - -TKTK - -{{% /tab %}} -{{< /tabs >}} - [1]: /obs_pipelines/dual_ship_logs_for_splunk_tcp [2]: https://docs.splunk.com/Documentation/Splunk/latest/Data/UsetheHTTPEventCollector \ No newline at end of file From 2fe5c5d60707d1f9767e4552752f6fca525c352a Mon Sep 17 00:00:00 2001 From: May Lee Date: Thu, 14 Mar 2024 11:39:14 -0400 Subject: [PATCH 18/88] move configure existing to separate pr --- .../configure_existing_pipelines.md | 180 ------------------ 1 file changed, 180 deletions(-) delete mode 100644 content/en/observability_pipelines/configure_existing_pipelines.md diff --git a/content/en/observability_pipelines/configure_existing_pipelines.md b/content/en/observability_pipelines/configure_existing_pipelines.md deleted file mode 100644 index 1b6e2f6c2a47a..0000000000000 --- a/content/en/observability_pipelines/configure_existing_pipelines.md +++ /dev/null @@ -1,180 +0,0 @@ ---- -title: Configure Existing Pipelines -kind: documentation -disable_toc: false ---- - -## Overview - -For existing pipelines in Observability Pipelines, you can update processors in the Observability Pipelines UI. But if you want to update source and destination environment variables, you need to manually update the Worker with the new values. - -## Update an existing pipeline - -1. Navgate to [Observability Pipelines][LINK]. -1. Select the pipeline you want to update. -1. Click **Edit Pipeline in the top right corner. - -### Source environment variables - -These are the source environment variables that you can update: - -{{< tabs >}} -{{% tab "Splunk HEC" %}} - -`SPLUNK_TOKEN` -: The Splunk HEC token for the Splunk indexer from where you want to send logs to the Observability Pipelines Worker. - -`SPLUNK_HEC_ENDPOINT_URL` -: The Observability Pipelines Worker listens to this Splunk HTTP endpoint to receive logs originally intended for the Splunk indexer. For example `https://.splunkcloud.com:8088`. -**Note**: `/services/collector/event` is automatically appended to the endpoint. - -{{% /tab %}} -{{% tab "Splunk TCP" %}} - -`DD_OP_SOURCE_SPLUNK_TCP_ADDRESS` -: The Observbaility Pipelines Worker listens to this socket address to receive logs from the Splunk Forwarder. - -{{% /tab %}} -{{% tab "Sumo Logic" %}} - -`DD_OP_SOURCE_SUMO_LOGIC_ADDRESS` -: The Observability Pipelines Worker listens to this socket address to receive logs from the Sumo Logic Hosted Collector. - -{{% /tab %}} -{{% tab "Datadog" %}} - -`DD_OP_SOURCE_DATADOG_AGENT_ADDRESS` -: The Observability Pipelines Worker listens to this socket address to receive logs from the Datadog Agent. - -{{% /tab %}} -{{< /tabs >}} - -### Destination environment variables - -These are the destination environment variables that you can update: - -{{< tabs >}} -{{% tab "Splunk HEC" %}} - -`DD_OP_DESTINATION_SPLUNK_HEC_TOKEN` -: The Splunk HEC token for the Splunk indexer you want to send logs from the Observability Pipelines Worker to. - -`DD_OP_DESTINATION_SPLUNK_HEC_ENDPOINT_URL` -: TKTK - -{{% /tab %}} -{{% tab "Sumo Logic" %}} - -`DD_OP_DESTINATION_SUMO_LOGIC_HTTP_COLLECTOR_URL` -: The Sumo Logic collection endpoint. - -{{% /tab %}} -{{% tab "Datadog" %}} - -TKTK - -{{% /tab %}} -{{% tab "Datadog Log Archives" %}} - -`DD_OP_DESTINATION_DATADOG_ARCHIVES_BUCKET` -: The name of the S3 bucket for storing archives. - -`DD_OP_DESTINATION_ARCHIVES_REGION` -: The AWS region of the target service. - -`DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_ACCESS_KEY_ID` -: The AWS access key ID for the S3 archive bucket. - -`DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_SECRET_KEY` -: The AWS secret access key ID for the S3 archive bucket. - -{{% /tab %}} -{{< /tabs >}} - -### Update the Worker - -You need to manually update your Worker with the new values for the environment variables. - -Select the environment your Worker is running in: - -{{< tabs >}} -{{% tab "Docker" %}} - -The general command to update the Worker is: - -``` -docker run -i -e DD_API_KEY= \ - -e DD_OP_PIPELINE_ID= \ - -e DD_SITE= \ - -e \ - -e \ - -p 8282:8282 \ - datadog/observability-pipelines-worker run -``` - -You need to replace the following placeholders: -- `` with the Datadog API key. -- `` with the pipeline ID. To get the pipeline ID: - - Navigate to your pipeline. - - Click FILL IN -- `` with {{< region-param key="dd_site" code="true" >}}. Make sure you have the correct site region selected in the upper right side of the page to show the site region URL you need to use. -- `` with the source environment variables if you are updating it. -- `` with the destination environment variables if you are updating it. - -#### Example - -For example, if you want to update the following Splunk source variables: -- `SPLUNK_TOKEN=` -- `SPLUNK_HEC_ENDPOINT_URL=` - -And also update the following Datadog Log Archives destination variables: -- `DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_ACCESS_KEY_ID=` -- `DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_SECRET_ACCESS_KEY=` - -You need to run the following command to update the Worker. - -``` -docker run -i -e DD_API_KEY= \ - -e DD_OP_PIPELINE_ID= \ - -e DD_SITE= \ - -e SPLUNK_TOKEN= \ - -e SPLUNK_HEC_ENDPOINT_URL= \ - -e DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_ACCESS_KEY_ID= \ - -e DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_SECRET_ACCESS_KEY= \ - -p 8282:8282 \ - datadog/observability-pipelines-worker run -``` - -{{% /tab %}} -{{% tab "Amazon EKS" %}} - -TKTK - -{{% /tab %}} -{{% tab "Azure AKS" %}} - -TKTK - -{{% /tab %}} - -{{% tab "Google GKE" %}} - -TKTK - -{{% /tab %}} -{{% tab "Linux" %}} - -TKTK - -{{% /tab %}} -{{% tab "CloudFormation" %}} - -TKTK - -{{% /tab %}} -{{% tab "Terraform (AWS)" %}} - -TKTK - -{{% /tab %}} -{{< /tabs >}} From efffa7b17ad8b8ce41fec8e54ec0046e5ae41390 Mon Sep 17 00:00:00 2001 From: May Lee Date: Mon, 25 Mar 2024 12:41:09 -0400 Subject: [PATCH 19/88] updates --- config/_default/menus/menus.en.yaml | 46 +++++++++---------- .../dual_ship_logs/_index.md | 2 +- .../dual_ship_logs_for_splunk_hec.md | 42 +++++++++-------- 3 files changed, 48 insertions(+), 42 deletions(-) diff --git a/config/_default/menus/menus.en.yaml b/config/_default/menus/menus.en.yaml index 1f0bbe0aed5ad..73e4e5e587a83 100644 --- a/config/_default/menus/menus.en.yaml +++ b/config/_default/menus/menus.en.yaml @@ -3352,46 +3352,46 @@ main: identifier: observability_pipelines parent: log_management_heading weight: 10000 - - name: Dual Ship Logs - url: observability_pipelines/dual_ship_logs/ - parent: observability_pipelines - identifier: observability_pipelines_dual_ship_logs - weight: 1 - - name: Splunk HEC - url: observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec/ - parent: observability_pipelines_dual_ship_logs - identifier: observability_pipelines_dual_ship_logs_splunk_hec - weight: 1001 - - name: Splunk TCP - url: observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_tcp/ - parent: observability_pipelines_dual_ship_logs - identifier: observability_pipelines_dual_ship_logs_splunk_tcp - weight: 1002 - - name: Sumo Logic - url: observability_pipelines/dual_ship_logs/dual_ship_logs_for_sumo_logic/ - parent: observability_pipelines_dual_ship_logs - identifier: observability_pipelines_dual_ship_logs_sumo_logic - weight: 1003 - name: Log Volume Control url: observability_pipelines/log_volume_control/ parent: observability_pipelines identifier: observability_pipelines_log_volume_control - weight: 2 + weight: 1 - name: Splunk HEC url: observability_pipelines/log_volume_control/splunk_hec/ parent: observability_pipelines_log_volume_control identifier: observability_pipelines_log_volume_control_splunk_hec - weight: 2001 + weight: 1001 - name: Splunk TCP url: observability_pipelines/dual_ship_logs/splunk_tcp/ parent: observability_pipelines_log_volume_control identifier: observability_pipelines_log_volume_control_splunk_tcp - weight: 2002 + weight: 1002 - name: Sumo Logic url: observability_pipelines/log_volume_control/log_volume_control_for_sumo_logic/ parent: observability_pipelines_log_volume_control identifier: observability_pipelines_log_volume_control_sumo_logic weight: 1003 + - name: Dual Ship Logs + url: observability_pipelines/dual_ship_logs/ + parent: observability_pipelines + identifier: observability_pipelines_dual_ship_logs + weight: 2 + - name: Splunk HEC + url: observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec/ + parent: observability_pipelines_dual_ship_logs + identifier: observability_pipelines_dual_ship_logs_splunk_hec + weight: 2001 + - name: Splunk TCP + url: observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_tcp/ + parent: observability_pipelines_dual_ship_logs + identifier: observability_pipelines_dual_ship_logs_splunk_tcp + weight: 2002 + - name: Sumo Logic + url: observability_pipelines/dual_ship_logs/dual_ship_logs_for_sumo_logic/ + parent: observability_pipelines_dual_ship_logs + identifier: observability_pipelines_dual_ship_logs_sumo_logic + weight: 2003 - name: Split Logs url: observability_pipelines/split_logs/ parent: observability_pipelines diff --git a/content/en/observability_pipelines/dual_ship_logs/_index.md b/content/en/observability_pipelines/dual_ship_logs/_index.md index a35a66760ddd2..363e839627a30 100644 --- a/content/en/observability_pipelines/dual_ship_logs/_index.md +++ b/content/en/observability_pipelines/dual_ship_logs/_index.md @@ -6,7 +6,7 @@ disable_toc: false ## Overview -As your infrastructure scales, your log volume also increases and so does the complexity of the data. To optimize how you manage your logs, you might need to experiment with different log management tools and routing workflows. Use Observability Pipelines to send your logs to multiple destinations, also known as dual shipping, so that you can evaluate different tools and workflows with minimal disruption to your production environment. +As your infrastructure scales, your log volume also increases as does the complexity of the data. To optimize how you manage your logs, you might need to experiment with different log management tools and routing workflows. Use Observability Pipelines to send your logs to different destinations, so that you can evaluate different tools and workflows with minimal disruption to your production environment. Select the source from which you want to dual ship logs: diff --git a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md index 7876cf6459193..5f6d9849920e3 100644 --- a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md +++ b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md @@ -6,35 +6,33 @@ disable_toc: false ## Overview -As your infrastructure scales, your log volume also increases and so does the complexity of the data. To optimize how you manage your logs, you might need to experiment with different log management tools and routing workflows. Use Observability Pipelines to send your logs to multiple destinations, also known as dual shipping, so that you can evaluate different tools and workflows with minimal disruption to your production environment. - -Configure your Splunk HTTP Event Collectors (HEC) to send logs to the Observability Pipelines Worker and then to multiple destinations. See [Dual Ship Logs from Splunk TCP][1] if you want to use Splunk Heavy/Universal Forwarders. +Configure your Splunk HTTP Event Collectors (HEC) so that the Observability Pipelines Worker processes the collected logs before routing them to various applications. These applications could be a SIEM product, archives, or another vendor as part of a vendor migration workflow. See [Dual Ship Logs from Splunk TCP][1] if you want to use Splunk Heavy/Universal Forwarders. This document walks you through the following steps to set up dual shipping: 1. Set up the Splunk index 1. Set up a pipeline in Observability Pipelines -1. Connect Splunk to the Observability Pipelines Worker +1. Install the Observability Pipelines Worker +1. Connect your Splunk collector to the Observability Pipelines Worker ## Set up the Splunk index
Observability Pipelines supports acknowledgments when you enable the Enable Indexer Acknowledgments setting on the input. Indexer acknowledgement is only available for Splunk Enterprise
-You must provision a Splunk HEC input and HEC token on the Splunk index so that the Observability Pipelines Worker can send logs to Splunk. Follow the instructions in the [Configure HTTP Event Collector on Splunk Cloud Platform][2] section. +You must provision a Splunk HEC input and HEC token on the Splunk index so that the Observability Pipelines Worker can send logs to Splunk. If you don't have one set up, follow the instructions in the [Configure HTTP Event Collector on Splunk Cloud Platform][2] section. After configuring the HTTP Event Collector, use the Splunk HEC token to set up Observability Pipelines. -## Set up a pipeline +For existing HEC configurations, you can get this token from the Splunk app: +1. In Splunk, navigate to **Settings** > **Data Inputs**. +1. Go to the **HTTP Event Collector** tab +1. Copy the **Token Value** from your target collector. + +## Set up a pipeline for a Splunk HEC source 1. Navigate to [Observability Pipelines][LINK]. 1. Select the **Dual Ship Logs** use case to create a new pipeline. - -### Add Splunk HEC for the log source - 1. Select **Splunk HEC** as the source. -1. Enter the Splunk HEC token. -1. Enter the Splunk HEC endpoint URL in the **Splunk HEC address**. For example `https://.splunkcloud.com:8088`. See [Send Data to HTTP Event Collector][1] for more information. -**Note**: `/services/collector/event` is automatically appended to the endpoint. ### Add processors @@ -94,9 +92,9 @@ For the **Rename** remap: {{< tabs >}} {{% tab "Splunk HEC" %}} -3. Enter the Splunk index. -4. In the **Encoding** dropdown menu, select whether you want to encode in **JSON** or **Raw**. -5. Check the box if you want to auto extract the timestamp. +3. Enter the Splunk index. +4. In the **Encoding** dropdown menu, select whether you want to encode in **JSON** or **Raw**. +5. Check the box if you want to auto extract the timestamp. 6. Enter the `sourcetype`. {{% /tab %}} @@ -121,12 +119,16 @@ Secrets will be set (for example, the Datadog API Key) when you install the OP W ## Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. +1. Enter the Splunk HEC address. The Observability Pipelines Worker listens on the this port address for logs originally intended for the Splunk indexer. See [Connect Splunk HEC to the Observability Pipelines Worker](#connect-splunk-hec-to-the-observability-pipelines-worker) for instructions on how to direct the Splunk HEC to the Worker. The Splunk HEC address is stored in the `DD_OP_SOURCE_SPLUNK_HEC_ADDRESS` environment variable. 1. Provide the environment variables for each of your selected destinations. {{< tabs >}} {{% tab "Splunk HEC" %}} -1. Enter the Splunk HEC token. -1. Enter the Splunk HEC endpoint URL in the **Splunk HEC address**. For example `https://.splunkcloud.com:8088`. See [Send Data to HTTP Event Collector][1] for more information. -**Note**: `/services/collector/event` is automatically appended to the endpoint. +1. Enter the Splunk HEC token, which is typically in UUID format. This information is stored in the `DD_OP_DESTINATION_SPLUNK_HEC_TOKEN` environment variable. +1. Enter the Splunk HEC endpoint URL in the **Splunk HEC address** field. + - Make sure to specify the port. If you are using Splunk Cloud, this is an example URL: `https://.splunkcloud.com:8088`. The Observability Pipelines Worker listens on this port for logs originally intended for the Splunk indexer. See [Send Data to HTTP Event Collector][1] for more information. + - If you are using Splunk on-premises, then check the port here under **global settings**. + - **Note**: `/services/collector/event` is automatically appended to the endpoint. + - The Splunk HEC endpoint URL is stored in the `DD_OP_DESTINATION_SPLUNK_HEC_ENDPOINT` environment variable. [1]: https://docs.splunk.com/Documentation/Splunk/latest/Data/UsetheHTTPEventCollector#Send_data_to_HTTP_Event_Collector @@ -249,5 +251,9 @@ TKTK {{% /tab %}} {{< /tabs >}} +## Connect Splunk HEC to the Observability Pipelines Worker + +TKTK + [1]: /obs_pipelines/dual_ship_logs_for_splunk_tcp [2]: https://docs.splunk.com/Documentation/Splunk/latest/Data/UsetheHTTPEventCollector \ No newline at end of file From ef8e2b6d8a9147ad77ae017805fe97ee5be37f55 Mon Sep 17 00:00:00 2001 From: May Lee Date: Mon, 25 Mar 2024 17:27:04 -0400 Subject: [PATCH 20/88] reorder nav and small edits --- config/_default/menus/menus.en.yaml | 10 +++++----- .../dual_ship_logs/dual_ship_logs_for_splunk_hec.md | 4 ++-- 2 files changed, 7 insertions(+), 7 deletions(-) diff --git a/config/_default/menus/menus.en.yaml b/config/_default/menus/menus.en.yaml index 73e4e5e587a83..5164a6cec34c4 100644 --- a/config/_default/menus/menus.en.yaml +++ b/config/_default/menus/menus.en.yaml @@ -3392,15 +3392,15 @@ main: parent: observability_pipelines_dual_ship_logs identifier: observability_pipelines_dual_ship_logs_sumo_logic weight: 2003 + - name: Archive Logs to Amazon S3 + url: observability_pipelines/archive_logs_s3/ + parent: observability_pipelines + identifier: observability_pipelines_archive_logs_s3 + weight: 3 - name: Split Logs url: observability_pipelines/split_logs/ parent: observability_pipelines identifier: observability_pipelines_split_logs - weight: 3 - - name: Archive Logs - url: observability_pipelines/archive_logs/ - parent: observability_pipelines - identifier: observability_pipelines_archive_logs weight: 4 - name: Redact log data url: observability_pipelines/redact_log_data/ diff --git a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md index 5f6d9849920e3..413671260e9ab 100644 --- a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md +++ b/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md @@ -10,7 +10,7 @@ Configure your Splunk HTTP Event Collectors (HEC) so that the Observability Pipe This document walks you through the following steps to set up dual shipping: -1. Set up the Splunk index +1. Set up the Splunk index if you don't have one set up already 1. Set up a pipeline in Observability Pipelines 1. Install the Observability Pipelines Worker 1. Connect your Splunk collector to the Observability Pipelines Worker @@ -28,7 +28,7 @@ For existing HEC configurations, you can get this token from the Splunk app: 1. Go to the **HTTP Event Collector** tab 1. Copy the **Token Value** from your target collector. -## Set up a pipeline for a Splunk HEC source +## Set up a pipeline in Observability Pipelines 1. Navigate to [Observability Pipelines][LINK]. 1. Select the **Dual Ship Logs** use case to create a new pipeline. From 97d50895b2b5618242e164c36e2eb72e2b2749c0 Mon Sep 17 00:00:00 2001 From: May Lee Date: Mon, 25 Mar 2024 18:02:51 -0400 Subject: [PATCH 21/88] update redaction --- config/_default/menus/menus.en.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/config/_default/menus/menus.en.yaml b/config/_default/menus/menus.en.yaml index 5164a6cec34c4..080cde217d5ef 100644 --- a/config/_default/menus/menus.en.yaml +++ b/config/_default/menus/menus.en.yaml @@ -3402,10 +3402,10 @@ main: parent: observability_pipelines identifier: observability_pipelines_split_logs weight: 4 - - name: Redact log data - url: observability_pipelines/redact_log_data/ + - name: Sensitive Data Redaction + url: observability_pipelines/sensitive_data_redaction/ parent: observability_pipelines - identifier: observability_pipelines_redact_log_data + identifier: observability_pipelines_sensitive_data_redaction weight: 5 - name: Configure Existing Pipelines url: observability_pipelines/configure_existing_pipelines/ From c8a2786c4dc2667aeb486e600ebb1b07f733a09f Mon Sep 17 00:00:00 2001 From: May Lee Date: Wed, 27 Mar 2024 12:51:11 -0400 Subject: [PATCH 22/88] update landing page --- content/en/observability_pipelines/_index.md | 22 +++++++++++--------- 1 file changed, 12 insertions(+), 10 deletions(-) diff --git a/content/en/observability_pipelines/_index.md b/content/en/observability_pipelines/_index.md index 37e47c7e04633..d0014b63033da 100644 --- a/content/en/observability_pipelines/_index.md +++ b/content/en/observability_pipelines/_index.md @@ -6,26 +6,28 @@ disable_toc: false ## Overview -Observability Pipelines allows you to collect, process, and route logs for the following use cases: +Observability Pipelines allows you to collect, process, and route logs in your own infrastructure. It comes with out-of-the-box templates so that you can easily build and deploy pipelines. The templates are purpose-built for the following use cases: -- Dual ship logs: Send your logs to multiple destinations. -- Log volume control: Cut down on your log volume and trim down the size of your logs before it leaves your infrastructure or network. -- Split logs: Send your logs to different destinations based on your use case. For example, you can devops logs to Datadog and security logs to another destination. -- Archive logs: Send logs to Datadog log archives and another destination. -- Redact data before routing your logs to a destination. +- Log volume control: Cut down on your log volume before it leaves your infrastructure or network. +- Dual ship logs: Send copies of your logs to multiple destinations. +- Split logs: Send your logs to different destinations based on your use case. For example, you can send devops logs to Datadog and security logs to a security vendor. +- Archive logs: Send logs to a log vendor and to an archive in Datadog rehydratable format. +- Sensitive data redaction: Redact sensitive data in your logs before they are routed outside of your infrastructure. -The Observability Pipelines Worker is the software that runs in your infrastructure. It aggregates and centrally processes and routes your data based on the selected use case. +The Observability Pipelines Worker is the software that runs in your infrastructure. It aggregates and centrally processes and routes your logs based on the selected use case. + +The Datadog UI provides a control plane to manage your Observability Pipelines Workers. You can build and edit pipelines, deploy pipeline changes to your Workers, and monitor your pipelines to evaluate the health of your pipelines. -The Datadog UI provides a control plane to manage your Observability Pipelines Workers. You can monitor your pipelines to understand the health of your pipelines, identify bottlenecks and latencies, and investigate your largest volume contributors. ## Get started 1. Navigate to [Observability Pipelines][LINK]. 1. Select a use case: - - [Dual ship logs][1] - Log volume control + - [Dual ship logs][1] - Split logs - Archive logs - - Redact data before routing + - Senstive data redaction +1. Add monitors. [1]: content/en/observability_pipelines/dual_ship_logs/ \ No newline at end of file From deb10bd67aafa557845ee2bb03b0f1222c075cb8 Mon Sep 17 00:00:00 2001 From: May Lee Date: Wed, 27 Mar 2024 17:57:12 -0400 Subject: [PATCH 23/88] small edits include rc update --- content/en/agent/remote_config/_index.md | 2 +- content/en/observability_pipelines/_index.md | 7 ++++--- 2 files changed, 5 insertions(+), 4 deletions(-) diff --git a/content/en/agent/remote_config/_index.md b/content/en/agent/remote_config/_index.md index aa1bc02866ced..df8993997bbfa 100644 --- a/content/en/agent/remote_config/_index.md +++ b/content/en/agent/remote_config/_index.md @@ -77,7 +77,7 @@ The following products and features are supported with Remote Configuration: - **Automatic deployment of custom Agent rules**: Automatically deploy your custom Agent rules to designated hosts (all hosts or a defined subset of hosts). ### Observability Pipelines -
This feature is in private beta.
+
This feature is in public beta.
- **Remotely deploy and update [Observability Pipelines Workers][4] (OPW)**: Build and edit pipelines in the Datadog UI, rolling out your configuration changes to OPW instances running in your environment. diff --git a/content/en/observability_pipelines/_index.md b/content/en/observability_pipelines/_index.md index d0014b63033da..f95d6fe138540 100644 --- a/content/en/observability_pipelines/_index.md +++ b/content/en/observability_pipelines/_index.md @@ -23,11 +23,12 @@ The Datadog UI provides a control plane to manage your Observability Pipelines W 1. Navigate to [Observability Pipelines][LINK]. 1. Select a use case: - - Log volume control - - [Dual ship logs][1] + - [Log volume control][1] + - [Dual ship logs][2] - Split logs - Archive logs - Senstive data redaction 1. Add monitors. -[1]: content/en/observability_pipelines/dual_ship_logs/ \ No newline at end of file +[1]: /observability_pipelines/log_volume_control/ +[2]: /observability_pipelines/dual_ship_logs/ \ No newline at end of file From b096b4197cba7a34b5e76867638edec21406d85c Mon Sep 17 00:00:00 2001 From: May Lee Date: Thu, 28 Mar 2024 13:54:28 -0400 Subject: [PATCH 24/88] update filenames --- config/_default/menus/menus.en.yaml | 14 +++++++------- .../dual_ship_logs/_index.md | 2 +- ...l_ship_logs_for_splunk_hec.md => splunk_hec.md} | 0 3 files changed, 8 insertions(+), 8 deletions(-) rename content/en/observability_pipelines/dual_ship_logs/{dual_ship_logs_for_splunk_hec.md => splunk_hec.md} (100%) diff --git a/config/_default/menus/menus.en.yaml b/config/_default/menus/menus.en.yaml index 080cde217d5ef..c392d955863e0 100644 --- a/config/_default/menus/menus.en.yaml +++ b/config/_default/menus/menus.en.yaml @@ -3368,7 +3368,7 @@ main: identifier: observability_pipelines_log_volume_control_splunk_tcp weight: 1002 - name: Sumo Logic - url: observability_pipelines/log_volume_control/log_volume_control_for_sumo_logic/ + url: observability_pipelines/log_volume_control/sumo_logic/ parent: observability_pipelines_log_volume_control identifier: observability_pipelines_log_volume_control_sumo_logic weight: 1003 @@ -3378,24 +3378,24 @@ main: identifier: observability_pipelines_dual_ship_logs weight: 2 - name: Splunk HEC - url: observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec/ + url: observability_pipelines/dual_ship_logs/splunk_hec/ parent: observability_pipelines_dual_ship_logs identifier: observability_pipelines_dual_ship_logs_splunk_hec weight: 2001 - name: Splunk TCP - url: observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_tcp/ + url: observability_pipelines/dual_ship_logs/splunk_tcp/ parent: observability_pipelines_dual_ship_logs identifier: observability_pipelines_dual_ship_logs_splunk_tcp weight: 2002 - name: Sumo Logic - url: observability_pipelines/dual_ship_logs/dual_ship_logs_for_sumo_logic/ + url: observability_pipelines/dual_ship_logs/sumo_logic/ parent: observability_pipelines_dual_ship_logs identifier: observability_pipelines_dual_ship_logs_sumo_logic weight: 2003 - - name: Archive Logs to Amazon S3 - url: observability_pipelines/archive_logs_s3/ + - name: Archive Logs + url: observability_pipelines/archive_logs/ parent: observability_pipelines - identifier: observability_pipelines_archive_logs_s3 + identifier: observability_pipelines_archive_logs weight: 3 - name: Split Logs url: observability_pipelines/split_logs/ diff --git a/content/en/observability_pipelines/dual_ship_logs/_index.md b/content/en/observability_pipelines/dual_ship_logs/_index.md index 363e839627a30..143334c8cfbe6 100644 --- a/content/en/observability_pipelines/dual_ship_logs/_index.md +++ b/content/en/observability_pipelines/dual_ship_logs/_index.md @@ -15,4 +15,4 @@ Select the source from which you want to dual ship logs: - Sumo Logic - Datadog Agent -[1]: /observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec \ No newline at end of file +[1]: /observability_pipelines/dual_ship_logs/splunk_hec \ No newline at end of file diff --git a/content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md b/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md similarity index 100% rename from content/en/observability_pipelines/dual_ship_logs/dual_ship_logs_for_splunk_hec.md rename to content/en/observability_pipelines/dual_ship_logs/splunk_hec.md From e52cad58c8f4d8e43a8225deb6f381d6006fa1b9 Mon Sep 17 00:00:00 2001 From: May Lee Date: Thu, 28 Mar 2024 14:33:45 -0400 Subject: [PATCH 25/88] add datadog --- config/_default/menus/menus.en.yaml | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/config/_default/menus/menus.en.yaml b/config/_default/menus/menus.en.yaml index c392d955863e0..b0c0ec4899283 100644 --- a/config/_default/menus/menus.en.yaml +++ b/config/_default/menus/menus.en.yaml @@ -3392,6 +3392,11 @@ main: parent: observability_pipelines_dual_ship_logs identifier: observability_pipelines_dual_ship_logs_sumo_logic weight: 2003 + - name: Datadog Agent + url: observability_pipelines/dual_ship_logs/datadog_agent/ + parent: observability_pipelines_dual_ship_logs + identifier: observability_pipelines_dual_ship_logs_datadog_agent + weight: 2004 - name: Archive Logs url: observability_pipelines/archive_logs/ parent: observability_pipelines From 6c672e4551152ba1347d90163feddc429afafd96 Mon Sep 17 00:00:00 2001 From: May Lee Date: Thu, 28 Mar 2024 14:58:44 -0400 Subject: [PATCH 26/88] add use case indexes --- .../archive_logs/_index.md | 23 ++++++++++++++++ .../dual_ship_logs/_index.md | 17 +++++++----- .../log_volume_control/_index.md | 26 +++++++++++++++++++ .../sensitive_data_redaction/_index.md | 21 +++++++++++++++ .../split_logs/_index.md | 21 +++++++++++++++ 5 files changed, 101 insertions(+), 7 deletions(-) create mode 100644 content/en/observability_pipelines/archive_logs/_index.md create mode 100644 content/en/observability_pipelines/log_volume_control/_index.md create mode 100644 content/en/observability_pipelines/sensitive_data_redaction/_index.md create mode 100644 content/en/observability_pipelines/split_logs/_index.md diff --git a/content/en/observability_pipelines/archive_logs/_index.md b/content/en/observability_pipelines/archive_logs/_index.md new file mode 100644 index 0000000000000..87bc66fba705f --- /dev/null +++ b/content/en/observability_pipelines/archive_logs/_index.md @@ -0,0 +1,23 @@ +--- +title: Archive Logs to Datadog Log Archives +kind: document +disable_toc: false +--- + +## Overview + +Use Observability Pipelines to route ingested logs to an archive or a bucket in Datadog rehydratable format. You can then rehydrate the archive in Datadog ad hoc whenever you need to analyze and investigate them. This is useful when: + +- You are migrating from another log vendor to Datadog Log Management, and want to ensure you have access to historical logs when you finish migrating +- You have a high volume of noisy logs, but you may need to index them in Log Management ad hoc. +- You have a retention policy. + +- [Splunk HEC][1] +- [Splunk TCP][2] +- [Sumo Logic][3] +- [Datadog Agent][4] + +[1]: \observability_pipelines\archive_logs\splunk_hec +[2]: \observability_pipelines\archive_logs\splunk_tcp +[3]: \observability_pipelines\archive_logs\sumo_logic +[4]: \observability_pipelines\archive_logs\datadog_agent diff --git a/content/en/observability_pipelines/dual_ship_logs/_index.md b/content/en/observability_pipelines/dual_ship_logs/_index.md index 143334c8cfbe6..92319f6846cb6 100644 --- a/content/en/observability_pipelines/dual_ship_logs/_index.md +++ b/content/en/observability_pipelines/dual_ship_logs/_index.md @@ -1,18 +1,21 @@ --- -title: Dual Ship Logs to Multiple Destinations +title: Dual Ship Logs kind: Documentation disable_toc: false --- ## Overview -As your infrastructure scales, your log volume also increases as does the complexity of the data. To optimize how you manage your logs, you might need to experiment with different log management tools and routing workflows. Use Observability Pipelines to send your logs to different destinations, so that you can evaluate different tools and workflows with minimal disruption to your production environment. +As your infrastructure and your organization scales, so does your log volume, complexity of your data, and your observability architecture. To optimize how you manage your logs, you might need to experiment with different log management tools and routing workflows. Use Observability Pipelines to send your logs to different destinations, so that you can evaluate different tools and workflows with minimal disruption to your production environment. -Select the source from which you want to dual ship logs: +Select a source to get started: - [Splunk HEC][1] -- Splunk TCP -- Sumo Logic -- Datadog Agent +- [Splunk TCP][2] +- [Sumo Logic][3] +- [Datadog Agent][4] -[1]: /observability_pipelines/dual_ship_logs/splunk_hec \ No newline at end of file +[1]: /observability_pipelines/dual_ship_logs/splunk_hec +[2]: /observability_pipelines/dual_ship_logs/splunk_tcp +[3]: /observability_pipelines/dual_ship_logs/sumo_logic +[4]: /observability_pipelines/dual_ship_logs/datadog_agent \ No newline at end of file diff --git a/content/en/observability_pipelines/log_volume_control/_index.md b/content/en/observability_pipelines/log_volume_control/_index.md new file mode 100644 index 0000000000000..1d4feff396ffa --- /dev/null +++ b/content/en/observability_pipelines/log_volume_control/_index.md @@ -0,0 +1,26 @@ +--- +title: Log Volume Control +kind: document +disable_toc: false +--- + +## Overview + +As your infrastructure and applications grow, so does your log volume and the complexity of the data. A large volume of logs can introduce a lot of noise and make it difficult to analyze and troubleshoot logs. Use Observability Pipelines's processors to decide which logs are valuable and which ones are noisy and uninteresting, before sending your logs to their destinations. You can use the following processors in the Observability Pipeline Worker to manage your logs: + +Filter: Add a query to send only a subset of logs based on your conditions. +Sample: Define a sampling rate to send only a subset of your logs. +Quota: Enforce soft or hard daily limits on either the volume of log data or the number of log events. +Dedupe: Drop duplicate copies of your logs, for example, due to retries because of network issues. +Remap: Add, drop, or rename a field in your logs. + +Select a log source to get started: + + +- [Splunk HEC][1] +- [Splunk TCP][2] +- [Sumo Logic][3] + +[1]: \observability_pipelines\log_volume_control\splunk_hec +[2]: \observability_pipelines\log_volume_control\splunk_tcp +[3]: \observability_pipelines\log_volume_control\sumo_logic \ No newline at end of file diff --git a/content/en/observability_pipelines/sensitive_data_redaction/_index.md b/content/en/observability_pipelines/sensitive_data_redaction/_index.md new file mode 100644 index 0000000000000..90f0956252f0a --- /dev/null +++ b/content/en/observability_pipelines/sensitive_data_redaction/_index.md @@ -0,0 +1,21 @@ +--- +title: Sensitive Data Redaction +kind: document +disable_toc: false +--- + +## Overview + +Sensitive data, such as credit card numbers, bank routing numbers, and API keys, can be revealed unintentionally in your logs, which can expose your organization to financial and privacy risks. Use the Observability Pipelines to identify, tag, and optionally redact or hash sensitive information before routing logs to different destinations and outside of your infrastructure. You can use out-of-the-box scanning rules to detect common patterns such as email addresses, credit card numbers, API keys, authorization tokens, and more. Or, create custom scanning rules using regex patterns to match sensitive information. + +Select a log source to get started: + +- [Splunk HEC][1] +- [Splunk TCP][2] +- [Sumo Logic][3] +- [Datadog Agent][4] + +[1]: \observability_pipelines\sesntive_data_redaction\splunk_hec +[2]: \observability_pipelines\sesntive_data_redaction\splunk_tcp +[3]: \observability_pipelines\sesntive_data_redaction\sumo_logic +[4]: \observability_pipelines\sesntive_data_redaction\datadog_agent diff --git a/content/en/observability_pipelines/split_logs/_index.md b/content/en/observability_pipelines/split_logs/_index.md new file mode 100644 index 0000000000000..75ec1a8de94dd --- /dev/null +++ b/content/en/observability_pipelines/split_logs/_index.md @@ -0,0 +1,21 @@ +--- +title: Split Logs +kind: document +disable_toc: false +--- + +## Overview + +Oftentimes, organizations need to send their logs to multiple products for different use cases. For example you might send your security logs to your SIEM application and your devops logs to Datadog. Use Observability Pipelines to send your logs to different destinations based on your use case. + +Select your log source to get started: + +- [Splunk HEC][1] +- [Splunk TCP][2] +- [Sumo Logic][3] +- [Datadog Agent][4] + +[1]: \observability_pipelines\split_logs\splunk_hec +[2]: \observability_pipelines\split_logs\splunk_tcp +[3]: \observability_pipelines\split_logs\sumo_logic +[4]: \observability_pipelines\split_logs\datadog_agent From a9cbcd797ffc857c10ae2c160eec84016085d963 Mon Sep 17 00:00:00 2001 From: May Lee Date: Thu, 28 Mar 2024 15:02:24 -0400 Subject: [PATCH 27/88] small edits --- content/en/observability_pipelines/archive_logs/_index.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/content/en/observability_pipelines/archive_logs/_index.md b/content/en/observability_pipelines/archive_logs/_index.md index 87bc66fba705f..203dd2040b22d 100644 --- a/content/en/observability_pipelines/archive_logs/_index.md +++ b/content/en/observability_pipelines/archive_logs/_index.md @@ -12,6 +12,8 @@ Use Observability Pipelines to route ingested logs to an archive or a bucket in - You have a high volume of noisy logs, but you may need to index them in Log Management ad hoc. - You have a retention policy. +Select a source to get started: + - [Splunk HEC][1] - [Splunk TCP][2] - [Sumo Logic][3] From 7a05af93b5181bdf59dc947809137f707e5a443d Mon Sep 17 00:00:00 2001 From: May Lee Date: Fri, 29 Mar 2024 14:19:18 -0400 Subject: [PATCH 28/88] update landing pages --- content/en/observability_pipelines/_index.md | 19 ++++++++++++++----- .../archive_logs/_index.md | 2 +- 2 files changed, 15 insertions(+), 6 deletions(-) diff --git a/content/en/observability_pipelines/_index.md b/content/en/observability_pipelines/_index.md index f95d6fe138540..153a9b1e1d69c 100644 --- a/content/en/observability_pipelines/_index.md +++ b/content/en/observability_pipelines/_index.md @@ -18,6 +18,12 @@ The Observability Pipelines Worker is the software that runs in your infrastruct The Datadog UI provides a control plane to manage your Observability Pipelines Workers. You can build and edit pipelines, deploy pipeline changes to your Workers, and monitor your pipelines to evaluate the health of your pipelines. +The following sources are available: + +- Datadog Agent +- Splunk HTTP Event Collector (HEC) +- Splunk Forwarder +- Sumo Logic ## Get started @@ -25,10 +31,13 @@ The Datadog UI provides a control plane to manage your Observability Pipelines W 1. Select a use case: - [Log volume control][1] - [Dual ship logs][2] - - Split logs - - Archive logs - - Senstive data redaction -1. Add monitors. + - [Split logs][3] + - [Archive logs to Datadog Archives][4] + - [Sensitive data redaction][5] +1. Enable monitors. [1]: /observability_pipelines/log_volume_control/ -[2]: /observability_pipelines/dual_ship_logs/ \ No newline at end of file +[2]: /observability_pipelines/dual_ship_logs/ +[3]: /observability_pipelines/split_logs/ +[4]: /observability_pipelines/archives_logs/ +[5]: /observability_pipelines/sensitive_data_scanner/ \ No newline at end of file diff --git a/content/en/observability_pipelines/archive_logs/_index.md b/content/en/observability_pipelines/archive_logs/_index.md index 203dd2040b22d..e4d71800879d9 100644 --- a/content/en/observability_pipelines/archive_logs/_index.md +++ b/content/en/observability_pipelines/archive_logs/_index.md @@ -1,5 +1,5 @@ --- -title: Archive Logs to Datadog Log Archives +title: Archive Logs to Datadog Archives kind: document disable_toc: false --- From a8fb2e3f57b4105c4b9179a1d702745c7055e4a8 Mon Sep 17 00:00:00 2001 From: May Lee Date: Fri, 29 Mar 2024 14:56:29 -0400 Subject: [PATCH 29/88] add architecture --- config/_default/menus/menus.en.yaml | 5 + .../observability_pipelines/architecture.md | 152 ++++++++++++++++++ .../legacy/architecture/_index.md | 1 - 3 files changed, 157 insertions(+), 1 deletion(-) create mode 100644 content/en/observability_pipelines/architecture.md diff --git a/config/_default/menus/menus.en.yaml b/config/_default/menus/menus.en.yaml index b0c0ec4899283..9f482e928cc9a 100644 --- a/config/_default/menus/menus.en.yaml +++ b/config/_default/menus/menus.en.yaml @@ -3417,6 +3417,11 @@ main: parent: observability_pipelines identifier: observability_pipelines_configure_existing_pipelines weight: 6 + - name: Architecture + url: observability_pipelines/architecture/ + parent: observability_pipelines + identifier: observability_pipelines_architecture + weight: 7 - name: Log Management url: logs/ pre: log diff --git a/content/en/observability_pipelines/architecture.md b/content/en/observability_pipelines/architecture.md new file mode 100644 index 0000000000000..d3027f19a2923 --- /dev/null +++ b/content/en/observability_pipelines/architecture.md @@ -0,0 +1,152 @@ +--- +title: Best Practices for OPW Aggregator Architecture +kind: Documentation +aliases: +--- + +{{< site-region region="gov" >}} +
Observability Pipelines is not available on the US1-FED Datadog site.
+{{< /site-region >}} + +
+This guide is for large-scale production-level deployments. +
+ +## Overview + +Deploy Observability Pipelines Worker into your infrastructure, like any other service to intercept and manipulate data, and then forward it to your destinations. Each Observability Pipelines Worker instance operates independently, so that you can scale the architecture with a simple load balancer. + +This guide walks you through the recommended aggregator architecture for new Observability Pipelines Worker users. Specifically these topics: + +- [Optimizing the instance](#optimize-the-instance) so you can horizontally scale the Observability Pipelines Worker aggregator. +- Starting points to estimate your resource capacity for [capacity planning and scaling](#capacity-planning-and-scaling) the Observability Pipelines Worker. + +## Optimize the instance + +### Instance sizing + +Compute optimized instances with at least 8 vCPUs and 16 GiB of memory. These are ideal units for horizontally scaling the Observability Pipelines Worker aggregator. Observability Pipelines Worker can vertically scale and automatically take advantage of additional resources if you choose larger instances. Choose a size that allows for at least two Observability Pipelines Worker instances for your data volume to improve availability. + +| Cloud Provider| Recommendation | +| ------------- | ----------------------------------------------------- | +| AWS | c6i.2xlarge (recommended) or c6g.2xlarge | +| Azure | f8 | +| Google Cloud | c2 (8 vCPUs, 16 GiB memory) | +| Private | 8 vCPUs, 16 GiB of memory, local disk is not required | + +### CPU sizing + +Most Observability Pipelines Worker workloads are CPU constrained and benefit from modern CPUs. + +| Cloud Provider| Recommendation | +| ------------- | --------------------------------------------------------------------- | +| AWS | Latest generation Intel Xeon, 8 vCPUs (recommended), at least 4 vCPUs | +| Azure | Latest generation Intel Xeon, 8 vCPUs (recommended), at least 4 vCPUs | +| Google Cloud | Latest generation Intel Xeon, 8 vCPUs (recommended), at least 4 vCPUs | +| Private | Latest generation Intel Xeon, 8 vCPUs (recommended), at least 4 vCPUs | + +### CPU architectures + +Observability Pipelines Worker runs on modern CPU architectures. X86_64 architectures offer the best return on performance for Observability Pipelines Worker. + +### Memory sizing + +Due to Observability Pipelines Worker's affine type system, memory is rarely constrained for Observability Pipelines Worker workloads. Therefore, Datadog recommends ≥2 GiB of memory per vCPU minimum. Memory usage increases with the number of sinks due to the in-memory buffering and batching. If you have a lot of sinks, consider increasing the memory or switching to disk buffers. + +### Disk sizing + +If you're using Observability Pipelines Worker's disk buffers for high durability (recommended), provision at least 36 GiB per vCPU of disk space. Following the recommendation of 8 vCPUs, provision 288 GiB of disk space (10 MiB * 60 seconds * 60 minutes * 8 vCPUs). + +| Cloud Provider| Recommendation* | +| ------------- | --------------------------------------------------------------| +| AWS | EBS gp3, 36 GiB per vCPU, no additional IOPS or throughput | +| Azure | Ultra-disk or standard SSD, 36 GiB per vCPU | +| Google Cloud | Balanced or SSD persistent disks, 36 GiB per vCPU | +| Private | Network-based block storage equivalent, 36 GiB per vCPU | + +*The recommended sizes are calculated at Observability Pipelines Worker's 10 MiB/s/vCPU throughput for one hour. For example, an 8 vCPU machine would require 288 GiB of disk space (10 MiB * 60 seconds * 60 minutes * 8 vCPUs). + +## Capacity planning and scaling + +### Units for estimations + +The following units are starting points for estimating your resource capacity, but can vary depending on your workload. + +| Unit | Size | Observability Pipelines Worker Throughput*| +| ----------------------| --------- | ----------------------------------------- | +| Unstructured log event| ~512 bytes| ~10 MiB/s/vCPU | +| Structured log event | ~1.5 KB | ~25 MiB/s/vCPU | +| Metric event | ~256 bytes| ~25 MiB/s/vCPU | +| Trace span event | ~1.5 KB | ~25 MiB/s/vCPU | + +*These numbers are conservative for estimation purposes. 1 vCPU = 1 ARM physical CPU and 0.5 Intel physical CPU. + +### Scaling + +#### Horizontal scaling + +Horizontal scaling refers to distributing traffic across multiple Observability Pipelines Worker instances. Observability Pipelines Worker has a shared-nothing architecture and does not require leader nodes or any such coordination that could complicate scaling. + +For push-based sources, front your Observability Pipelines Worker instances with a network load balancer and scale them up and down as needed. + +{{< img src="observability_pipelines/production_deployment_overview/horizontal_scaling_push.png" alt="A diagram showing a cloud region broken down into agents, network load balancers, and an Observability Pipelines Worker aggregator, and the data from the agents are sent to the load balancer, Observability Pipelines Workers, and then to other destinations" style="width:60%;" >}} + +A load balancer is not required for pull-based sources. Deploy Observability Pipelines Worker and scale it up and down as needed. Your publish-subscription system coordinates exclusive access to the data when Observability Pipelines Worker asks to read it. + +{{< img src="observability_pipelines/production_deployment_overview/horizontal_scaling_pull.png" alt="A diagram showing a cloud region broken down into agents, brokers, and an Observability Pipelines aggregator. Data from the agents are sent to the brokers, and then sent and received between the broker and the Observability Pipelines Workers, and then sent from the Workers out to the other destinations" style="width:60%;" >}} + +##### Load balancing + +A load balancer is only required for push-based sources, such as agents. You do not need a load balancer if you are exclusively using pull-based sources, such as Kafka. + +###### Client-side load balancing + +Client-side load balancing is not recommended. Client-side load balancing refers to clients doing the load balancing of traffic across multiple Observability Pipelines Worker instances. While this approach sounds simpler, it may be less reliable and more complicated because: + +- Load balancing with proper failover is complex. Issues in this area are sensitive as they can result in data loss or incidents that disrupt your services. This is exacerbated if you are working with multiple types of clients. +- The point of the Observability Pipelines Worker aggregator is to shift responsibility away from your agents and taking on load balancing helps to do that. + +###### Load balancer types + +Datadog recommends Layer 4 (L4) load balancers (network load balancers) since they support Observability Pipelines Worker's protocols (TCP, UDP, and HTTP). Even if you're exclusively sending HTTP traffic (Layer 7), Datadog recommends L4 load balancers for their performance and simplicity. + +| Cloud Provider| Recommendation | +| ------------- | --------------------------------------------------------------| +| AWS | AWS Network Load Balancer (NLB) | +| Azure | Internal Azure Load Balancer | +| Google Cloud | Internal TCP/UDP Network Load Balancer | +| Private | HAProxy, Nginx, or another load balancer with layer-4 support | + +###### Load balancer configurations + +When configuring clients and load balancers, Datadog recommends the following general settings: + +- Use a simple round-robin load balancing strategy. +- Do not enable cross-zone load balancing unless the traffic across zones is very imbalanced. +- Configure load balancers to use Observability Pipelines Worker's health API endpoint for target health. +- Ensure that your Observability Pipelines Worker instances automatically register or de-register as they scale. +- Enable keep-alive with no more than one minute idle timeout for both your clients and load balancers. +- If supported, enable connection concurrency and pooling on your agents. If that is not supported, consider the unified architecture which deploys Observability Pipelines Worker at the edge. Connection pooling ensures large volumes of data are spread across multiple connections to help balance traffic. + +###### Load balancer hot spots + +Load balancing hot spots occur when one or more Observability Pipelines Worker instance receives disproportionate traffic. Hot spots usually happen due to one of two reasons: + +1. A substantial amount of traffic is being sent over a single connection. +2. Traffic in one availability zone is much higher than in the others. + +In these cases, the following respective mitigation tactics are recommended: + +1. Split large connections into multiple connections. Most clients allow connection concurrency and pooling that distributes data over multiple connections. This tactic allows your load balancer to distribute the connection across multiple Observability Pipelines Worker instances. If your client does not support this, consider the unified architecture, where Observability Pipelines Worker can be additionally deployed to the edge. +2. Enable cross-zone load balancing on your load balancer. Cross-zone balancing balances all availability zone traffic across all Observability Pipelines Worker instances. + +#### Vertical scaling + +Observability Pipelines Worker's concurrency model automatically scales to take advantage of all vCPUs. There are no concurrency settings or configuration changes required. When vertically scaling, Datadog recommends capping an instance's size to process no more than 50% of your total volume and deploying at least two Observability Pipelines Worker instances for high availability. + +#### Autoscaling + +Autoscaling should be based on average CPU utilization. For the vast majority of workloads, Observability Pipelines Worker is CPU constrained. CPU utilization is the strongest signal for autoscaling since it does not produce false positives. Datadog recommends you use the following settings, adjusting as necessary: + +- Average CPU with a 85% utilization target. +- A five minute stabilization period for scaling up and down. \ No newline at end of file diff --git a/content/en/observability_pipelines/legacy/architecture/_index.md b/content/en/observability_pipelines/legacy/architecture/_index.md index f9c69d2b1ee6b..a07090619ae5e 100644 --- a/content/en/observability_pipelines/legacy/architecture/_index.md +++ b/content/en/observability_pipelines/legacy/architecture/_index.md @@ -4,7 +4,6 @@ kind: Documentation aliases: - /observability_pipelines/production_deployment_overview/aggregator_architecture - /observability_pipelines/aggregator_architecture/ - - /observability_pipelines/architecture/ --- {{< site-region region="gov" >}} From ca2eb13fcc39e9f30e0b9c63fe639692fe102f7d Mon Sep 17 00:00:00 2001 From: May Lee Date: Mon, 1 Apr 2024 12:35:01 -0400 Subject: [PATCH 30/88] edits to landing pages --- .../en/observability_pipelines/archive_logs/_index.md | 2 +- .../log_volume_control/_index.md | 11 +++++------ .../sensitive_data_redaction/_index.md | 2 +- .../en/observability_pipelines/split_logs/_index.md | 2 +- 4 files changed, 8 insertions(+), 9 deletions(-) diff --git a/content/en/observability_pipelines/archive_logs/_index.md b/content/en/observability_pipelines/archive_logs/_index.md index e4d71800879d9..7f4162cdc4ddc 100644 --- a/content/en/observability_pipelines/archive_logs/_index.md +++ b/content/en/observability_pipelines/archive_logs/_index.md @@ -8,7 +8,7 @@ disable_toc: false Use Observability Pipelines to route ingested logs to an archive or a bucket in Datadog rehydratable format. You can then rehydrate the archive in Datadog ad hoc whenever you need to analyze and investigate them. This is useful when: -- You are migrating from another log vendor to Datadog Log Management, and want to ensure you have access to historical logs when you finish migrating +- You are migrating from another log vendor to Datadog Log Management, and want to ensure you have access to historical logs when you finish migrating. - You have a high volume of noisy logs, but you may need to index them in Log Management ad hoc. - You have a retention policy. diff --git a/content/en/observability_pipelines/log_volume_control/_index.md b/content/en/observability_pipelines/log_volume_control/_index.md index 1d4feff396ffa..661cedde29fda 100644 --- a/content/en/observability_pipelines/log_volume_control/_index.md +++ b/content/en/observability_pipelines/log_volume_control/_index.md @@ -8,15 +8,14 @@ disable_toc: false As your infrastructure and applications grow, so does your log volume and the complexity of the data. A large volume of logs can introduce a lot of noise and make it difficult to analyze and troubleshoot logs. Use Observability Pipelines's processors to decide which logs are valuable and which ones are noisy and uninteresting, before sending your logs to their destinations. You can use the following processors in the Observability Pipeline Worker to manage your logs: -Filter: Add a query to send only a subset of logs based on your conditions. -Sample: Define a sampling rate to send only a subset of your logs. -Quota: Enforce soft or hard daily limits on either the volume of log data or the number of log events. -Dedupe: Drop duplicate copies of your logs, for example, due to retries because of network issues. -Remap: Add, drop, or rename a field in your logs. +- Filter: Add a query to send only a subset of logs based on your conditions. +- Sample: Define a sampling rate to send only a subset of your logs. +- Quota: Enforce soft or hard daily limits on either the volume of log data or the number of log events. +- Dedupe: Drop duplicate copies of your logs, for example, due to retries because of network issues. +- Remap: Add, drop, or rename a field in your logs. Select a log source to get started: - - [Splunk HEC][1] - [Splunk TCP][2] - [Sumo Logic][3] diff --git a/content/en/observability_pipelines/sensitive_data_redaction/_index.md b/content/en/observability_pipelines/sensitive_data_redaction/_index.md index 90f0956252f0a..50b1fbd3c0c95 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/_index.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/_index.md @@ -6,7 +6,7 @@ disable_toc: false ## Overview -Sensitive data, such as credit card numbers, bank routing numbers, and API keys, can be revealed unintentionally in your logs, which can expose your organization to financial and privacy risks. Use the Observability Pipelines to identify, tag, and optionally redact or hash sensitive information before routing logs to different destinations and outside of your infrastructure. You can use out-of-the-box scanning rules to detect common patterns such as email addresses, credit card numbers, API keys, authorization tokens, and more. Or, create custom scanning rules using regex patterns to match sensitive information. +Sensitive data, such as credit card numbers, bank routing numbers, and API keys, can be revealed unintentionally in your logs, which can expose your organization to financial and privacy risks. Use the Observability Pipelines Worker to identify, tag, and optionally redact or hash sensitive information before routing logs to different destinations and outside of your infrastructure. You can use out-of-the-box scanning rules to detect common patterns such as email addresses, credit card numbers, API keys, authorization tokens, and more. Or, create custom scanning rules using regex patterns to match sensitive information. Select a log source to get started: diff --git a/content/en/observability_pipelines/split_logs/_index.md b/content/en/observability_pipelines/split_logs/_index.md index 75ec1a8de94dd..7a3d3da29c531 100644 --- a/content/en/observability_pipelines/split_logs/_index.md +++ b/content/en/observability_pipelines/split_logs/_index.md @@ -6,7 +6,7 @@ disable_toc: false ## Overview -Oftentimes, organizations need to send their logs to multiple products for different use cases. For example you might send your security logs to your SIEM application and your devops logs to Datadog. Use Observability Pipelines to send your logs to different destinations based on your use case. +Oftentimes, organizations need to send their logs to multiple products for different use cases. For example, you might send your security logs to your SIEM application and your devops logs to Datadog. Use Observability Pipelines to send your logs to different destinations based on your use case. Select your log source to get started: From 1a92c1cbec3b34250bb7ff18ca94e62eefe9316a Mon Sep 17 00:00:00 2001 From: May Lee Date: Tue, 2 Apr 2024 17:00:00 -0400 Subject: [PATCH 31/88] move datadog to top --- .../archive_logs/_index.md | 16 ++++++++-------- .../dual_ship_logs/_index.md | 16 ++++++++-------- .../sensitive_data_redaction/_index.md | 16 ++++++++-------- .../observability_pipelines/split_logs/_index.md | 16 ++++++++-------- 4 files changed, 32 insertions(+), 32 deletions(-) diff --git a/content/en/observability_pipelines/archive_logs/_index.md b/content/en/observability_pipelines/archive_logs/_index.md index 7f4162cdc4ddc..f5d48c37ec554 100644 --- a/content/en/observability_pipelines/archive_logs/_index.md +++ b/content/en/observability_pipelines/archive_logs/_index.md @@ -14,12 +14,12 @@ Use Observability Pipelines to route ingested logs to an archive or a bucket in Select a source to get started: -- [Splunk HEC][1] -- [Splunk TCP][2] -- [Sumo Logic][3] -- [Datadog Agent][4] +- [Datadog Agent][1] +- [Splunk HEC][2] +- [Splunk TCP][3] +- [Sumo Logic][4] -[1]: \observability_pipelines\archive_logs\splunk_hec -[2]: \observability_pipelines\archive_logs\splunk_tcp -[3]: \observability_pipelines\archive_logs\sumo_logic -[4]: \observability_pipelines\archive_logs\datadog_agent +[1]: \observability_pipelines\archive_logs\datadog_agent +[2]: \observability_pipelines\archive_logs\splunk_hec +[3]: \observability_pipelines\archive_logs\splunk_tcp +[4]: \observability_pipelines\archive_logs\sumo_logic diff --git a/content/en/observability_pipelines/dual_ship_logs/_index.md b/content/en/observability_pipelines/dual_ship_logs/_index.md index 92319f6846cb6..144f37ed1fe65 100644 --- a/content/en/observability_pipelines/dual_ship_logs/_index.md +++ b/content/en/observability_pipelines/dual_ship_logs/_index.md @@ -10,12 +10,12 @@ As your infrastructure and your organization scales, so does your log volume, co Select a source to get started: -- [Splunk HEC][1] -- [Splunk TCP][2] -- [Sumo Logic][3] -- [Datadog Agent][4] +- [Datadog Agent][1] +- [Splunk HEC][2] +- [Splunk TCP][3] +- [Sumo Logic][4] -[1]: /observability_pipelines/dual_ship_logs/splunk_hec -[2]: /observability_pipelines/dual_ship_logs/splunk_tcp -[3]: /observability_pipelines/dual_ship_logs/sumo_logic -[4]: /observability_pipelines/dual_ship_logs/datadog_agent \ No newline at end of file +[1]: /observability_pipelines/dual_ship_logs/datadog_agent +[2]: /observability_pipelines/dual_ship_logs/splunk_hec +[3]: /observability_pipelines/dual_ship_logs/splunk_tcp +[4]: /observability_pipelines/dual_ship_logs/sumo_logic diff --git a/content/en/observability_pipelines/sensitive_data_redaction/_index.md b/content/en/observability_pipelines/sensitive_data_redaction/_index.md index 50b1fbd3c0c95..b6f0b1a40902a 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/_index.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/_index.md @@ -10,12 +10,12 @@ Sensitive data, such as credit card numbers, bank routing numbers, and API keys, Select a log source to get started: -- [Splunk HEC][1] -- [Splunk TCP][2] -- [Sumo Logic][3] -- [Datadog Agent][4] +- [Datadog Agent][1] +- [Splunk HEC][2] +- [Splunk TCP][3] +- [Sumo Logic][4] -[1]: \observability_pipelines\sesntive_data_redaction\splunk_hec -[2]: \observability_pipelines\sesntive_data_redaction\splunk_tcp -[3]: \observability_pipelines\sesntive_data_redaction\sumo_logic -[4]: \observability_pipelines\sesntive_data_redaction\datadog_agent +[1]: \observability_pipelines\sesntive_data_redaction\datadog_agent +[2]: \observability_pipelines\sesntive_data_redaction\splunk_hec +[3]: \observability_pipelines\sesntive_data_redaction\splunk_tcp +[4]: \observability_pipelines\sesntive_data_redaction\sumo_logic diff --git a/content/en/observability_pipelines/split_logs/_index.md b/content/en/observability_pipelines/split_logs/_index.md index 7a3d3da29c531..cdfe784298a90 100644 --- a/content/en/observability_pipelines/split_logs/_index.md +++ b/content/en/observability_pipelines/split_logs/_index.md @@ -10,12 +10,12 @@ Oftentimes, organizations need to send their logs to multiple products for diffe Select your log source to get started: -- [Splunk HEC][1] -- [Splunk TCP][2] -- [Sumo Logic][3] -- [Datadog Agent][4] +- [Datadog Agent][1] +- [Splunk HEC][2] +- [Splunk TCP][3] +- [Sumo Logic][4] -[1]: \observability_pipelines\split_logs\splunk_hec -[2]: \observability_pipelines\split_logs\splunk_tcp -[3]: \observability_pipelines\split_logs\sumo_logic -[4]: \observability_pipelines\split_logs\datadog_agent +[1]: \observability_pipelines\split_logs\datadog_agent +[2]: \observability_pipelines\split_logs\splunk_hec +[3]: \observability_pipelines\split_logs\splunk_tcp +[4]: \observability_pipelines\split_logs\sumo_logic From 77efc35015243ba8899a6cc2240afbce7f5292ca Mon Sep 17 00:00:00 2001 From: May Lee Date: Tue, 2 Apr 2024 17:57:56 -0400 Subject: [PATCH 32/88] add reuse shortcode files --- .../shortcodes/observability_pipelines/configure_log_archive.md | 1 + .../observability_pipelines/destination_env_vars/datadog.md | 1 + .../destination_env_vars/datadog_log_archives.md | 1 + .../observability_pipelines/destination_env_vars/splunk_hec.md | 1 + .../observability_pipelines/destination_env_vars/splunk_tcp.md | 1 + .../observability_pipelines/destination_env_vars/sumo_logic.md | 1 + .../observability_pipelines/destination_settings/datadog.md | 1 + .../destination_settings/datadog_log_archives.md | 1 + .../observability_pipelines/destination_settings/splunk_hec.md | 1 + .../observability_pipelines/destination_settings/splunk_tcp.md | 1 + .../observability_pipelines/destination_settings/sumo_logic.md | 1 + .../observability_pipelines/install_worker/amazon_eks.md | 1 + .../observability_pipelines/install_worker/azure_aks.md | 1 + .../observability_pipelines/install_worker/cloudformation.md | 1 + 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b/layouts/shortcodes/observability_pipelines/install_worker/docker.md @@ -0,0 +1 @@ +REUSE INSTRUCTIONS \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/install_worker/google_gke.md b/layouts/shortcodes/observability_pipelines/install_worker/google_gke.md new file mode 100644 index 0000000000000..7221b4d732336 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/install_worker/google_gke.md @@ -0,0 +1 @@ +REUSE INSTRUCTIONS \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/install_worker/linux_apt.md b/layouts/shortcodes/observability_pipelines/install_worker/linux_apt.md new file mode 100644 index 0000000000000..7221b4d732336 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/install_worker/linux_apt.md @@ -0,0 +1 @@ +REUSE INSTRUCTIONS \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/install_worker/linux_rpm.md b/layouts/shortcodes/observability_pipelines/install_worker/linux_rpm.md new file mode 100644 index 0000000000000..7221b4d732336 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/install_worker/linux_rpm.md @@ -0,0 +1 @@ +REUSE INSTRUCTIONS \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/log_source_configuration/datadog.md b/layouts/shortcodes/observability_pipelines/log_source_configuration/datadog.md new file mode 100644 index 0000000000000..7221b4d732336 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/log_source_configuration/datadog.md @@ -0,0 +1 @@ +REUSE INSTRUCTIONS \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/log_source_configuration/splunk_hec.md b/layouts/shortcodes/observability_pipelines/log_source_configuration/splunk_hec.md new file mode 100644 index 0000000000000..7221b4d732336 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/log_source_configuration/splunk_hec.md @@ -0,0 +1 @@ +REUSE INSTRUCTIONS \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/log_source_configuration/splunk_tcp.md b/layouts/shortcodes/observability_pipelines/log_source_configuration/splunk_tcp.md new file mode 100644 index 0000000000000..7221b4d732336 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/log_source_configuration/splunk_tcp.md @@ -0,0 +1 @@ +REUSE INSTRUCTIONS \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/log_source_configuration/sumo_logic.md b/layouts/shortcodes/observability_pipelines/log_source_configuration/sumo_logic.md new file mode 100644 index 0000000000000..7221b4d732336 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/log_source_configuration/sumo_logic.md @@ -0,0 +1 @@ +REUSE INSTRUCTIONS \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/prerequisites/datadog_agent.md b/layouts/shortcodes/observability_pipelines/prerequisites/datadog_agent.md new file mode 100644 index 0000000000000..7221b4d732336 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/prerequisites/datadog_agent.md @@ -0,0 +1 @@ +REUSE INSTRUCTIONS \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/prerequisites/splunk_hec.md b/layouts/shortcodes/observability_pipelines/prerequisites/splunk_hec.md new file mode 100644 index 0000000000000..7221b4d732336 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/prerequisites/splunk_hec.md @@ -0,0 +1 @@ +REUSE INSTRUCTIONS \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/prerequisites/splunk_tcp.md b/layouts/shortcodes/observability_pipelines/prerequisites/splunk_tcp.md new file mode 100644 index 0000000000000..7221b4d732336 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/prerequisites/splunk_tcp.md @@ -0,0 +1 @@ +REUSE INSTRUCTIONS \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/prerequisites/sumo_logic.md b/layouts/shortcodes/observability_pipelines/prerequisites/sumo_logic.md new file mode 100644 index 0000000000000..7221b4d732336 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/prerequisites/sumo_logic.md @@ -0,0 +1 @@ +REUSE INSTRUCTIONS \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/processors/dedupe.md b/layouts/shortcodes/observability_pipelines/processors/dedupe.md new file mode 100644 index 0000000000000..7221b4d732336 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/processors/dedupe.md @@ -0,0 +1 @@ +REUSE INSTRUCTIONS \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/processors/filter.md b/layouts/shortcodes/observability_pipelines/processors/filter.md new file mode 100644 index 0000000000000..7221b4d732336 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/processors/filter.md @@ -0,0 +1 @@ +REUSE INSTRUCTIONS \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/processors/filter_syntax.md b/layouts/shortcodes/observability_pipelines/processors/filter_syntax.md new file mode 100644 index 0000000000000..7221b4d732336 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/processors/filter_syntax.md @@ -0,0 +1 @@ +REUSE INSTRUCTIONS \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/processors/intro.md b/layouts/shortcodes/observability_pipelines/processors/intro.md new file mode 100644 index 0000000000000..7221b4d732336 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/processors/intro.md @@ -0,0 +1 @@ +REUSE INSTRUCTIONS \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/processors/quota.md b/layouts/shortcodes/observability_pipelines/processors/quota.md new file mode 100644 index 0000000000000..7221b4d732336 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/processors/quota.md @@ -0,0 +1 @@ +REUSE INSTRUCTIONS \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/processors/remap.md b/layouts/shortcodes/observability_pipelines/processors/remap.md new file mode 100644 index 0000000000000..7221b4d732336 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/processors/remap.md @@ -0,0 +1 @@ +REUSE INSTRUCTIONS \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/processors/sample.md b/layouts/shortcodes/observability_pipelines/processors/sample.md new file mode 100644 index 0000000000000..7221b4d732336 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/processors/sample.md @@ -0,0 +1 @@ +REUSE INSTRUCTIONS \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/processors/sensitive_data_scanner.md b/layouts/shortcodes/observability_pipelines/processors/sensitive_data_scanner.md new file mode 100644 index 0000000000000..7221b4d732336 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/processors/sensitive_data_scanner.md @@ -0,0 +1 @@ +REUSE INSTRUCTIONS \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/source_settings/datadog.md b/layouts/shortcodes/observability_pipelines/source_settings/datadog.md new file mode 100644 index 0000000000000..7221b4d732336 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/source_settings/datadog.md @@ -0,0 +1 @@ +REUSE INSTRUCTIONS \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/source_settings/splunk_hec.md b/layouts/shortcodes/observability_pipelines/source_settings/splunk_hec.md new file mode 100644 index 0000000000000..7221b4d732336 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/source_settings/splunk_hec.md @@ -0,0 +1 @@ +REUSE INSTRUCTIONS \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/source_settings/splunk_tcp.md b/layouts/shortcodes/observability_pipelines/source_settings/splunk_tcp.md new file mode 100644 index 0000000000000..7221b4d732336 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/source_settings/splunk_tcp.md @@ -0,0 +1 @@ +REUSE INSTRUCTIONS \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/source_settings/sumo_logic.md b/layouts/shortcodes/observability_pipelines/source_settings/sumo_logic.md new file mode 100644 index 0000000000000..7221b4d732336 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/source_settings/sumo_logic.md @@ -0,0 +1 @@ +REUSE INSTRUCTIONS \ No newline at end of file From 644f74f65afd271e0154d1e285e83252cfda02e7 Mon Sep 17 00:00:00 2001 From: May Lee Date: Wed, 3 Apr 2024 12:50:35 -0400 Subject: [PATCH 33/88] add all nav items --- config/_default/menus/menus.en.yaml | 74 ++++++++++++++++++++++++++--- 1 file changed, 67 insertions(+), 7 deletions(-) diff --git a/config/_default/menus/menus.en.yaml b/config/_default/menus/menus.en.yaml index 9f482e928cc9a..8e5f580c422e1 100644 --- a/config/_default/menus/menus.en.yaml +++ b/config/_default/menus/menus.en.yaml @@ -3377,41 +3377,101 @@ main: parent: observability_pipelines identifier: observability_pipelines_dual_ship_logs weight: 2 + - name: Datadog Agent + url: observability_pipelines/dual_ship_logs/datadog_agent/ + parent: observability_pipelines_dual_ship_logs + identifier: observability_pipelines_dual_ship_logs_datadog_agent + weight: 2001 - name: Splunk HEC url: observability_pipelines/dual_ship_logs/splunk_hec/ parent: observability_pipelines_dual_ship_logs identifier: observability_pipelines_dual_ship_logs_splunk_hec - weight: 2001 + weight: 2002 - name: Splunk TCP url: observability_pipelines/dual_ship_logs/splunk_tcp/ parent: observability_pipelines_dual_ship_logs identifier: observability_pipelines_dual_ship_logs_splunk_tcp - weight: 2002 + weight: 2003 - name: Sumo Logic url: observability_pipelines/dual_ship_logs/sumo_logic/ parent: observability_pipelines_dual_ship_logs identifier: observability_pipelines_dual_ship_logs_sumo_logic - weight: 2003 - - name: Datadog Agent - url: observability_pipelines/dual_ship_logs/datadog_agent/ - parent: observability_pipelines_dual_ship_logs - identifier: observability_pipelines_dual_ship_logs_datadog_agent weight: 2004 - name: Archive Logs url: observability_pipelines/archive_logs/ parent: observability_pipelines identifier: observability_pipelines_archive_logs weight: 3 + - name: Datadog Agent + url: observability_pipelines/archive_logs/datadog_agent/ + parent: observability_pipelines_archive_logs + identifier: observability_pipelines_archive_logs_datadog_agent + weight: 3001 + - name: Splunk HEC + url: observability_pipelines/archive_logs/splunk_hec/ + parent: observability_pipelines_archive_logs + identifier: observability_pipelines_archive_logs_splunk_hec + weight: 3002 + - name: Splunk TCP + url: observability_pipelines/archive_logs/splunk_tcp/ + parent: observability_pipelines_archive_logs + identifier: observability_pipelines_archive_logs_splunk_tcp + weight: 3003 + - name: Sumo Logic + url: observability_pipelines/archive_logs/sumo_logic/ + parent: observability_pipelines_archive_logs + identifier: observability_pipelines_archive_logs_sumo_logic + weight: 3004 - name: Split Logs url: observability_pipelines/split_logs/ parent: observability_pipelines identifier: observability_pipelines_split_logs weight: 4 + - name: Datadog Agent + url: observability_pipelines/split_logs/datadog_agent/ + parent: observability_pipelines_split_logs + identifier: observability_pipelines_split_logs_datadog_agent + weight: 4001 + - name: Splunk HEC + url: observability_pipelines/split_logs/splunk_hec/ + parent: observability_pipelines_split_logs + identifier: observability_pipelines_split_logs_splunk_hec + weight: 4002 + - name: Splunk TCP + url: observability_pipelines/split_logs/splunk_tcp/ + parent: observability_pipelines_split_logs + identifier: observability_pipelines_split_logs_splunk_tcp + weight: 4003 + - name: Sumo Logic + url: observability_pipelines/split_logs/sumo_logic/ + parent: observability_pipelines_split_logs + identifier: observability_pipelines_split_logs_sumo_logic + weight: 4004 - name: Sensitive Data Redaction url: observability_pipelines/sensitive_data_redaction/ parent: observability_pipelines identifier: observability_pipelines_sensitive_data_redaction weight: 5 + - name: Datadog Agent + url: observability_pipelines/sensitive_data_redaction/datadog_agent/ + parent: observability_pipelines_sensitive_data_redaction + identifier: observability_pipelines_sensitive_data_redaction_datadog_agent + weight: 5001 + - name: Splunk HEC + url: observability_pipelines/sensitive_data_redaction/splunk_hec/ + parent: observability_pipelines_sensitive_data_redaction + identifier: observability_pipelines_sensitive_data_redaction_splunk_hec + weight: 5002 + - name: Splunk TCP + url: observability_pipelines/sensitive_data_redaction/splunk_tcp/ + parent: observability_pipelines_sensitive_data_redaction + identifier: observability_pipelines_sensitive_data_redaction_splunk_tcp + weight: 5003 + - name: Sumo Logic + url: observability_pipelines/sensitive_data_redaction/sumo_logic/ + parent: observability_pipelines_sensitive_data_redaction + identifier: observability_pipelines_sensitive_data_redaction_sumo_logic + weight: 5004 - name: Configure Existing Pipelines url: observability_pipelines/configure_existing_pipelines/ parent: observability_pipelines From 0ac9e9dcd069f259d6f85b0063b9a6fa12b6573a Mon Sep 17 00:00:00 2001 From: May Lee Date: Wed, 3 Apr 2024 14:11:19 -0400 Subject: [PATCH 34/88] add splunk hec pages --- config/_default/menus/menus.en.yaml | 30 +- .../archive_logs/_index.md | 4 +- .../archive_logs/splunk_hec.md | 315 ++++++++++++++++++ .../dual_ship_logs/_index.md | 4 +- .../dual_ship_logs/splunk_hec.md | 234 ++++--------- .../dual_ship_logs/splunk_hec_old.md | 259 ++++++++++++++ .../log_volume_control/_index.md | 4 +- .../log_volume_control/splunk_hec.md | 159 +++++++++ .../sensitive_data_redaction/_index.md | 4 +- .../sensitive_data_redaction/splunk_hec.md | 159 +++++++++ .../split_logs/_index.md | 4 +- .../split_logs/splunk_hec.md | 160 +++++++++ 12 files changed, 1146 insertions(+), 190 deletions(-) create mode 100644 content/en/observability_pipelines/archive_logs/splunk_hec.md create mode 100644 content/en/observability_pipelines/dual_ship_logs/splunk_hec_old.md create mode 100644 content/en/observability_pipelines/log_volume_control/splunk_hec.md create mode 100644 content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md create mode 100644 content/en/observability_pipelines/split_logs/splunk_hec.md diff --git a/config/_default/menus/menus.en.yaml b/config/_default/menus/menus.en.yaml index 8e5f580c422e1..46c9dfea8a229 100644 --- a/config/_default/menus/menus.en.yaml +++ b/config/_default/menus/menus.en.yaml @@ -3357,17 +3357,17 @@ main: parent: observability_pipelines identifier: observability_pipelines_log_volume_control weight: 1 - - name: Splunk HEC + - name: Splunk HTTP Event Collector url: observability_pipelines/log_volume_control/splunk_hec/ parent: observability_pipelines_log_volume_control identifier: observability_pipelines_log_volume_control_splunk_hec weight: 1001 - - name: Splunk TCP + - name: Splunk Heavy and Universal Forwarders url: observability_pipelines/dual_ship_logs/splunk_tcp/ parent: observability_pipelines_log_volume_control identifier: observability_pipelines_log_volume_control_splunk_tcp weight: 1002 - - name: Sumo Logic + - name: Sumo Logic HTTP Logs Collector url: observability_pipelines/log_volume_control/sumo_logic/ parent: observability_pipelines_log_volume_control identifier: observability_pipelines_log_volume_control_sumo_logic @@ -3382,17 +3382,17 @@ main: parent: observability_pipelines_dual_ship_logs identifier: observability_pipelines_dual_ship_logs_datadog_agent weight: 2001 - - name: Splunk HEC + - name: Splunk HTTP Event Collector url: observability_pipelines/dual_ship_logs/splunk_hec/ parent: observability_pipelines_dual_ship_logs identifier: observability_pipelines_dual_ship_logs_splunk_hec weight: 2002 - - name: Splunk TCP + - name: Splunk Heavy and Universal Forwarders url: observability_pipelines/dual_ship_logs/splunk_tcp/ parent: observability_pipelines_dual_ship_logs identifier: observability_pipelines_dual_ship_logs_splunk_tcp weight: 2003 - - name: Sumo Logic + - name: Sumo Logic HTTP Logs Collector url: observability_pipelines/dual_ship_logs/sumo_logic/ parent: observability_pipelines_dual_ship_logs identifier: observability_pipelines_dual_ship_logs_sumo_logic @@ -3407,17 +3407,17 @@ main: parent: observability_pipelines_archive_logs identifier: observability_pipelines_archive_logs_datadog_agent weight: 3001 - - name: Splunk HEC + - name: Splunk HTTP Event Collector url: observability_pipelines/archive_logs/splunk_hec/ parent: observability_pipelines_archive_logs identifier: observability_pipelines_archive_logs_splunk_hec weight: 3002 - - name: Splunk TCP + - name: Splunk Heavy and Universal Forwarders url: observability_pipelines/archive_logs/splunk_tcp/ parent: observability_pipelines_archive_logs identifier: observability_pipelines_archive_logs_splunk_tcp weight: 3003 - - name: Sumo Logic + - name: Sumo Logic HTTP Logs Collector url: observability_pipelines/archive_logs/sumo_logic/ parent: observability_pipelines_archive_logs identifier: observability_pipelines_archive_logs_sumo_logic @@ -3432,17 +3432,17 @@ main: parent: observability_pipelines_split_logs identifier: observability_pipelines_split_logs_datadog_agent weight: 4001 - - name: Splunk HEC + - name: Splunk HTTP Event Collector url: observability_pipelines/split_logs/splunk_hec/ parent: observability_pipelines_split_logs identifier: observability_pipelines_split_logs_splunk_hec weight: 4002 - - name: Splunk TCP + - name: Splunk Heavy and Universal Forwarders url: observability_pipelines/split_logs/splunk_tcp/ parent: observability_pipelines_split_logs identifier: observability_pipelines_split_logs_splunk_tcp weight: 4003 - - name: Sumo Logic + - name: Sumo Logic HTTP Logs Collector url: observability_pipelines/split_logs/sumo_logic/ parent: observability_pipelines_split_logs identifier: observability_pipelines_split_logs_sumo_logic @@ -3457,17 +3457,17 @@ main: parent: observability_pipelines_sensitive_data_redaction identifier: observability_pipelines_sensitive_data_redaction_datadog_agent weight: 5001 - - name: Splunk HEC + - name: Splunk HTTP Event Collector url: observability_pipelines/sensitive_data_redaction/splunk_hec/ parent: observability_pipelines_sensitive_data_redaction identifier: observability_pipelines_sensitive_data_redaction_splunk_hec weight: 5002 - - name: Splunk TCP + - name: Splunk Heavy and Universal Forwarders url: observability_pipelines/sensitive_data_redaction/splunk_tcp/ parent: observability_pipelines_sensitive_data_redaction identifier: observability_pipelines_sensitive_data_redaction_splunk_tcp weight: 5003 - - name: Sumo Logic + - name: Sumo Logic HTTP Logs Collector url: observability_pipelines/sensitive_data_redaction/sumo_logic/ parent: observability_pipelines_sensitive_data_redaction identifier: observability_pipelines_sensitive_data_redaction_sumo_logic diff --git a/content/en/observability_pipelines/archive_logs/_index.md b/content/en/observability_pipelines/archive_logs/_index.md index f5d48c37ec554..275346de38a3a 100644 --- a/content/en/observability_pipelines/archive_logs/_index.md +++ b/content/en/observability_pipelines/archive_logs/_index.md @@ -15,8 +15,8 @@ Use Observability Pipelines to route ingested logs to an archive or a bucket in Select a source to get started: - [Datadog Agent][1] -- [Splunk HEC][2] -- [Splunk TCP][3] +- [Splunk HTTP Event Collector][2] +- [Splunk Heavy and Universal Forwarders][3] - [Sumo Logic][4] [1]: \observability_pipelines\archive_logs\datadog_agent diff --git a/content/en/observability_pipelines/archive_logs/splunk_hec.md b/content/en/observability_pipelines/archive_logs/splunk_hec.md new file mode 100644 index 0000000000000..8ee13f4572e5a --- /dev/null +++ b/content/en/observability_pipelines/archive_logs/splunk_hec.md @@ -0,0 +1,315 @@ +--- +title: Archive Logs for Splunk HTTP Event Collector (HEC) +kind: document +disable_toc: false +--- + +## Overview + +Configure your Splunk HTTP Event Collector (HEC) so that the Observability Pipelines Worker formats the logs collected into a Datadog-rehydratable format before routing them to Datadog Log Archives. See [Archive Logs from Splunk Heavy and Universal Forwarders][1] if you want to archives logs from your Splunk Heavy or Splunk Universal Forwarders. + + +This document walks through the following steps: +1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines +1. [Configuring a Log Archive](#configure-a-log-archive) +1. [Setting up Observability Pipelines](#set-up-observability-pipelines) +1. [Connecting your log sources to the Observability Pipelines Worker](#connect-your-log-sources-to-the-observability-pipelines-worker) + +## Prerequisites + +{{% observability_pipelines/prerequisites/splunk_hec %}} + +## Configure a Log Archive + +### Create an Amazon S3 bucket + +{{< site-region region="us,us3,us5" >}} +See [AWS Pricing][1] for inter-region data transfer fees and how cloud storage costs may be impacted. + +[1]: https://aws.amazon.com/s3/pricing/ +{{< /site-region >}} + +1. Navigate to [Amazon S3 buckets][2]. +1. Click **Create bucket**. +1. Enter a descriptive name for your bucket. +1. Do not make your bucket publicly readable. +1. Optionally, add tags. +1. Click **Create bucket**. + +### Set up an IAM policy that allows Workers to write to the S3 bucket + +1. Navigate to the [IAM console][3]. +1. Select **Policies** in the left side menu. +1. Click **Create policy**. +1. Click **JSON** in the **Specify permissions** section. +1. Copy the below policy and paste it into the **Policy editor**. Replace `` and `` with the information for the S3 bucket you created earlier. +{{< code-block lang="json">}} +{ + "Version": "2012-10-17", + "Statement": [ + { + "Sid": "DatadogUploadAndRehydrateLogArchives", + "Effect": "Allow", + "Action": ["s3:PutObject", "s3:GetObject"], + "Resource": "arn:aws:s3:::/*" + }, + { + "Sid": "DatadogRehydrateLogArchivesListBucket", + "Effect": "Allow", + "Action": "s3:ListBucket", + "Resource": "arn:aws:s3:::" + } + ] +} +{{< /code-block >}} +1. Click **Next**. +1. Enter a descriptive policy name. +1. Optionally, add tags. +1. Click **Create policy**. + +{{< tabs >}} +{{% tab "Docker" %}} + +### Create an IAM user + +Create an IAM user and attach the IAM policy you created earlier to it. + +1. Navigate to the [IAM console][1]. +1. Select **Users** in the left side menu. +1. Click **Create user**. +1. Enter a user name. +1. Click **Next**. +1. Select **Attach policies directly**. +1. Choose the IAM policy you created earlier to attach to the new IAM user. +1. Click **Next**. +1. Optionally, add tags. +1. Click **Create user**. + +Create access credentials for the new IAM user. Save these credentials as `AWS_ACCESS_KEY` and `AWS_SECRET_ACCESS_KEY`. + + +[1]: https://console.aws.amazon.com/iam/ +{{% /tab %}} +{{% tab "AWS EKS" %}} + +### Create a service account + +[Create a service account][1] to use the policy you created above. In the Helm configuration, replace `${DD_ARCHIVES_SERVICE_ACCOUNT}` with the name of the service account. + + +[1]: https://docs.aws.amazon.com/eks/latest/userguide/associate-service-account-role.html +{{% /tab %}} +{{% tab "APT-based Linux" %}} + +### Create an IAM user + +Create an IAM user and attach the IAM policy you created earlier to it. + +1. Navigate to the [IAM console][1]. +1. Select **Users** in the left side menu. +1. Click **Create user**. +1. Enter a user name. +1. Click **Next**. +1. Select **Attach policies directly**. +1. Choose the IAM policy you created earlier to attach to the new IAM user. +1. Click **Next**. +1. Optionally, add tags. +1. Click **Create user**. + +Create access credentials for the new IAM user. Save these credentials as `AWS_ACCESS_KEY` and `AWS_SECRET_ACCESS_KEY`. + + +[1]: https://console.aws.amazon.com/iam/ +{{% /tab %}} +{{% tab "RPM-based Linux" %}} + +### Create an IAM user + +Create an IAM user and attach the IAM policy you created earlier to it. + +1. Navigate to the [IAM console][1]. +1. Select **Users** in the left side menu. +1. Click **Create user**. +1. Enter a user name. +1. Click **Next**. +1. Select **Attach policies directly**. +1. Choose the IAM policy you created earlier to attach to the new IAM user. +1. Click **Next**. +1. Optionally, add tags. +1. Click **Create user**. + +Create access credentials for the new IAM user. Save these credentials as `AWS_ACCESS_KEY` and `AWS_SECRET_ACCESS_KEY`. + + +[1]: https://console.aws.amazon.com/iam/ +{{% /tab %}} +{{% tab "Terraform (AWS)" %}} + +### Attach the policy to the IAM instance profile + +Attach the policy to the IAM Instance Profile that is created with Terraform, which you can find under the `iam-role-name` output. + +{{% /tab %}} +{{< /tabs >}} + +### Connect the S3 bucket to Datadog Log Archives + +1. Navigate to Datadog [Log Forwarding][4]. +1. Click **Add a new archive**. +1. Enter a descriptive archive name. +1. Add a query that filters out all logs going through log pipelines so that none of those logs go into this archive. For example, add the query `observability_pipelines_read_only_archive`, assuming no logs going through the pipeline have that tag added. +1. Select **AWS S3**. +1. Select the AWS Account that your bucket is in. +1. Enter the name of the S3 bucket. +1. Optionally, enter a path. +1. Check the confirmation statement. +1. Optionally, add tags and define the maximum scan size for rehydration. See [Advanced settings][4] for more information. +1. Click **Save**. + +See the [Log Archives documentation][5] for additional information. + +## Set up Observability Pipelines + +1. Navigate to [Observability Pipelines][6]. +1. Select the **Archive Logs** use case to create a new pipeline. +1. Select **Splunk HEC** as the source. + +### Set up the source + +{{% observability_pipelines/source_settings/splunk_hec %}} + +### Set up destinations + +{{% observability_pipelines/destination_settings/splunk_hec %}} + +{{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_settings/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_settings/splunk_hec %}} + +{{% /tab %}} +{{% tab "Splunk TCP" %}} + +{{% observability_pipelines/destination_settings/splunk_tcp %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_settings/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} + +### Set up processors + +{{% observability_pipelines/processors/intro %}} + +{{< tabs >}} +{{% tab "Filter" %}} + +{{% observability_pipelines/processors/filter %}} + +{{% /tab %}} +{{% tab "Sample" %}} + +{{% observability_pipelines/processors/sample %}} + +{{% /tab %}} +{{% tab "Quota" %}} + +{{% observability_pipelines/processors/quota %}} + +{{% /tab %}} +{{% tab "Dedupe" %}} + +{{% observability_pipelines/processors/dedupe %}} + +{{% /tab %}} +{{% tab "Remap" %}} + +{{% observability_pipelines/processors/remap %}} + +{{% /tab %}} +{{< /tabs >}} + +## Install the Observability Pipelines Worker +1. Select your platform in the **Choose your installation platform** dropdown menu. +1. Enter the Splunk HEC address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Provide the environment variables for each of your selected destinations. +{{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_env_vars/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_env_vars/splunk_hec %}} + +{{% /tab %}} +{{% tab "Splunk TCP" %}} + +{{% observability_pipelines/destination_env_vars/splunk_tcp %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_env_vars/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} + +1. Follow the instructions for your environment to install the Worker. +{{< tabs >}} +{{% tab "Docker" %}} + +{{% observability_pipelines/install_worker/docker %}} + +{{% /tab %}} +{{% tab "Amazon EKS" %}} + +{{% observability_pipelines/install_worker/amazon_eks %}} + +{{% /tab %}} +{{% tab "Azure AKS" %}} + +{{% observability_pipelines/install_worker/azure_aks %}} + +{{% /tab %}} +{{% tab "Google GKE" %}} + +{{% observability_pipelines/install_worker/google_gke %}} + +{{% /tab %}} +{{% tab "Linux (APT)" %}} + +{{% observability_pipelines/install_worker/linux_apt %}} + +{{% /tab %}} +{{% tab "Linux (RPM)" %}} + +{{% observability_pipelines/install_worker/linux_rpm %}} + +{{% /tab %}} +{{% tab "CloudFormation" %}} + +{{% observability_pipelines/install_worker/cloudformation %}} + +{{% /tab %}} +{{< /tabs >}} + +## Connect your log sources to the Observability Pipelines Worker + +TKTK + +[1]: /archive_logs/splunk_tcp/ +[2]: https://s3.console.aws.amazon.com/s3/home +[3]: https://console.aws.amazon.com/iam/ +[4]: https://app.datadoghq.com/logs/pipelines/log-forwarding +[5]: /logs/log_configuration/archives +[6]: https://app.datadoghq.com/observability-pipelines diff --git a/content/en/observability_pipelines/dual_ship_logs/_index.md b/content/en/observability_pipelines/dual_ship_logs/_index.md index 144f37ed1fe65..a36d63011fc4e 100644 --- a/content/en/observability_pipelines/dual_ship_logs/_index.md +++ b/content/en/observability_pipelines/dual_ship_logs/_index.md @@ -11,8 +11,8 @@ As your infrastructure and your organization scales, so does your log volume, co Select a source to get started: - [Datadog Agent][1] -- [Splunk HEC][2] -- [Splunk TCP][3] +- [Splunk HTTP Event Collector][2] +- [Splunk Heavy and Universal Forwarders][3] - [Sumo Logic][4] [1]: /observability_pipelines/dual_ship_logs/datadog_agent diff --git a/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md b/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md index 413671260e9ab..d8a243fea60d6 100644 --- a/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md +++ b/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md @@ -1,259 +1,163 @@ --- -title: Dual Ship Logs from Splunk HEC -kind: documentation +title: Dual Ship Logs from Splunk HTTP Event Collector (HEC) +kind: document disable_toc: false --- ## Overview -Configure your Splunk HTTP Event Collectors (HEC) so that the Observability Pipelines Worker processes the collected logs before routing them to various applications. These applications could be a SIEM product, archives, or another vendor as part of a vendor migration workflow. See [Dual Ship Logs from Splunk TCP][1] if you want to use Splunk Heavy/Universal Forwarders. +Configure your Splunk HTTP Event Collectors (HEC) and set up Observability Pipelines so that the Observability Pipelines Worker aggregates and processes the logs coming from your upstream sources before routing them to various applications, including Splunk. -This document walks you through the following steps to set up dual shipping: - -1. Set up the Splunk index if you don't have one set up already -1. Set up a pipeline in Observability Pipelines -1. Install the Observability Pipelines Worker -1. Connect your Splunk collector to the Observability Pipelines Worker +See [Dual Ship Logs from Splunk TCP][1] if you want to ingest logs from Splunk Heavy or Splunk Universal Forwarders. -## Set up the Splunk index - -
Observability Pipelines supports acknowledgments when you enable the Enable Indexer Acknowledgments setting on the input. Indexer acknowledgement is only available for Splunk Enterprise
+This document walks you through the following steps to set up dual shipping: -You must provision a Splunk HEC input and HEC token on the Splunk index so that the Observability Pipelines Worker can send logs to Splunk. If you don't have one set up, follow the instructions in the [Configure HTTP Event Collector on Splunk Cloud Platform][2] section. +1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines +1. [Setting up Observability Pipelines](#set-up-observability-pipelines) +1. [Connecting your log sources to the Observability Pipelines Worker](#connect-your-log-sources-to-the-observability-pipelines-worker) -After configuring the HTTP Event Collector, use the Splunk HEC token to set up Observability Pipelines. +## Prerequisites -For existing HEC configurations, you can get this token from the Splunk app: -1. In Splunk, navigate to **Settings** > **Data Inputs**. -1. Go to the **HTTP Event Collector** tab -1. Copy the **Token Value** from your target collector. +{{% observability_pipelines/prerequisites/splunk_hec %}} -## Set up a pipeline in Observability Pipelines +## Set up Observability Pipelines -1. Navigate to [Observability Pipelines][LINK]. +1. Navigate to [Observability Pipelines][1]. 1. Select the **Dual Ship Logs** use case to create a new pipeline. 1. Select **Splunk HEC** as the source. -### Add processors +### Set up the source -There are pre-selected processors and you can add additional processors for your use case. The order of the processors is important because a log can match multiple filters. Click on the drag handle icon on the top left corner of the processor to reorder it. The following processors are available: +{{% observability_pipelines/source_settings/splunk_hec %}} -{{< tabs >}} -{{% tab "Filter" %}} +### Set up destinations -Add a query to filter your logs. +{{% observability_pipelines/destination_settings/splunk_hec %}} -{{% /tab %}} -{{% tab "Sampler" %}} +{{< tabs >}} +{{% tab "Datadog" %}} -1. Add a query to filter your logs -1. Enter the percent of logs to sample. +{{% observability_pipelines/destination_settings/datadog %}} {{% /tab %}} -{{% tab "Quota" %}} +{{% tab "Splunk HEC" %}} -1. Add a query to filter your logs. -1. Select in the **Unit for quota** dropdown menu if you want to determine the quota by events or volume. -1. Set the daily quota limit and select the unit of measurement. -1. Uncheck **Drop fields** if you want to…TKTK +{{% observability_pipelines/destination_settings/splunk_hec %}} {{% /tab %}} -{{% tab "Edit field" %}} - -Select one of the following type of reamp in the dropdown menu: **add field**, **drop field**, or **rename field**. - -#### Add a field -For the **Add field** remap: - -1. Select the field. -1. Add a query. -1. Enter the key and value you want to add. +{{% tab "Splunk TCP" %}} -#### Drop a field +{{% observability_pipelines/destination_settings/splunk_tcp %}} -For the **Drop** remap: -1. Add a query to filter to logs. -1. Enter the key you want to drop. +{{% /tab %}} +{{% tab "Sumo Logic" %}} -#### Rename a field -For the **Rename** remap: -1. Add a query to filter the logs. -1. Enter the key that you want to remap. -1. Enter the key that you want the original key to be remapped to. -1. If you to do not want to keep the original source tag, uncheck **Preserve source tag**. +{{% observability_pipelines/destination_settings/sumo_logic %}} {{% /tab %}} {{< /tabs >}} -### Add the destinations for your logs +### Set up processors + +{{% observability_pipelines/processors/intro %}} -1. Select the destinations for your logs. -1. If applicable, enter the information for the destinations selected: {{< tabs >}} -{{% tab "Splunk HEC" %}} +{{% tab "Filter" %}} -3. Enter the Splunk index. -4. In the **Encoding** dropdown menu, select whether you want to encode in **JSON** or **Raw**. -5. Check the box if you want to auto extract the timestamp. -6. Enter the `sourcetype`. +{{% observability_pipelines/processors/filter %}} {{% /tab %}} -{{% tab "Splunk TCP" %}} +{{% tab "Sample" %}} -TKTK +{{% observability_pipelines/processors/sample %}} {{% /tab %}} +{{% tab "Quota" %}} -{{% tab "Sumo Logic" %}} +{{% observability_pipelines/processors/quota %}} + +{{% /tab %}} +{{% tab "Dedupe" %}} -This destination will be configured through environment variables in the Worker deployment step. +{{% observability_pipelines/processors/dedupe %}} {{% /tab %}} -{{% tab "Datadog" %}} +{{% tab "Remap" %}} -Secrets will be set (for example, the Datadog API Key) when you install the OP Worker. +{{% observability_pipelines/processors/remap %}} {{% /tab %}} {{< /tabs >}} ## Install the Observability Pipelines Worker - 1. Select your platform in the **Choose your installation platform** dropdown menu. -1. Enter the Splunk HEC address. The Observability Pipelines Worker listens on the this port address for logs originally intended for the Splunk indexer. See [Connect Splunk HEC to the Observability Pipelines Worker](#connect-splunk-hec-to-the-observability-pipelines-worker) for instructions on how to direct the Splunk HEC to the Worker. The Splunk HEC address is stored in the `DD_OP_SOURCE_SPLUNK_HEC_ADDRESS` environment variable. +1. Enter the Splunk HEC address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. {{< tabs >}} -{{% tab "Splunk HEC" %}} -1. Enter the Splunk HEC token, which is typically in UUID format. This information is stored in the `DD_OP_DESTINATION_SPLUNK_HEC_TOKEN` environment variable. -1. Enter the Splunk HEC endpoint URL in the **Splunk HEC address** field. - - Make sure to specify the port. If you are using Splunk Cloud, this is an example URL: `https://.splunkcloud.com:8088`. The Observability Pipelines Worker listens on this port for logs originally intended for the Splunk indexer. See [Send Data to HTTP Event Collector][1] for more information. - - If you are using Splunk on-premises, then check the port here under **global settings**. - - **Note**: `/services/collector/event` is automatically appended to the endpoint. - - The Splunk HEC endpoint URL is stored in the `DD_OP_DESTINATION_SPLUNK_HEC_ENDPOINT` environment variable. - -[1]: https://docs.splunk.com/Documentation/Splunk/latest/Data/UsetheHTTPEventCollector#Send_data_to_HTTP_Event_Collector - -{{% /tab %}} -{{% tab "Splunk TCP" %}} +{{% tab "Datadog" %}} -TKTK +{{% observability_pipelines/destination_env_vars/datadog %}} {{% /tab %}} -{{% tab "Sumo Logic" %}} - -Enter the Sumo Logic HTTP collector URL. +{{% tab "Splunk HEC" %}} -For example, `https:///reciever/v1/http/` with your Sumo Logic collection endpoint. - - `` with the string that follows the last forward slash (`/`) in the upload URL for the HTTP source. +{{% observability_pipelines/destination_env_vars/splunk_hec %}} {{% /tab %}} -{{% tab "Datadog" %}} +{{% tab "Splunk TCP" %}} -TKTK +{{% observability_pipelines/destination_env_vars/splunk_tcp %}} {{% /tab %}} -{{% tab "Datadog Log Archives" %}} +{{% tab "Sumo Logic" %}} -1. Enter the name of the S3 archive bucket you created earlier. -1. Enter the AWS region of the target service. -1. Enter the AWS access key ID of the S3 archive bucket you created earlier -1. Enter the AWS secret access key of your S3 archive bucket. +{{% observability_pipelines/destination_env_vars/sumo_logic %}} {{% /tab %}} {{< /tabs >}} -3. Follow the instructions for your environment to install the Worker. + +1. Follow the instructions for your environment to install the Worker. {{< tabs >}} {{% tab "Docker" %}} -1. Click **Select an API key** to choose the Datadog API key you want to use. -1. Run the command automatically provided in the UI to install the Worker. The command is automatically populated with the environment variables you entered earlier. -1. Navigate back to the Observability Pipelines installation page and click **Deploy**. +{{% observability_pipelines/install_worker/docker %}} {{% /tab %}} {{% tab "Amazon EKS" %}} -1. Download the [Helm chart values file][1] for Amazon EKS. -1. In the Helm chart values file, replace `site` with {{< region-param key="dd_site" code="true" >}}. Make sure you have the correct site region selected in the upper right side of the page to show the site URL you need to use. See [Datadog Site][2] for more information. -1. To install the Worker, run the following commands: - ```shell - helm repo add datadog https://helm.datadoghq.com - ``` - ```shell - helm repo update - ``` - ```shell - helm upgrade --install \ - opw datadog/observability-pipelines-worker \ - -f aws_eks.yaml - ``` -1. Navigate back to the Observability Pipelines installation page. Click **Deploy**. - -[1]: /resources/yaml/observability_pipelines/v2/setup/aws_eks.yaml -[2]: /getting_started/site/ +{{% observability_pipelines/install_worker/amazon_eks %}} + {{% /tab %}} {{% tab "Azure AKS" %}} -1. Download the [Helm chart values file][1] for Azure AKS. -1. In the Helm chart values file, replace `site` with {{< region-param key="dd_site" code="true" >}}. Make sure you have the correct site region selected in the upper right side of the page to show the site region URL you need to use. See [Datadog Site][2] for more information. -1. To install the Worker, run the following commands: - ```shell - helm repo add datadog https://helm.datadoghq.com - ``` - ```shell - helm repo update - ``` - ```shell - helm upgrade --install \ - opw datadog/observability-pipelines-worker \ - -f azure_aks.yaml - ``` -1. Navigate back to the Observability Pipelines installation page. Click **Deploy**. - -[1]: /resources/yaml/observability_pipelines/v2/setup/azure_aks.yaml -[2]: /getting_started/site/ +{{% observability_pipelines/install_worker/azure_aks %}} + {{% /tab %}} {{% tab "Google GKE" %}} -1. Download the [Helm chart values file][1] for Google GKE. -1. In the Helm chart values file, replace `site` with {{< region-param key="dd_site" code="true" >}}. Make sure you have the correct site region selected in the upper right side of the page to show the site region URL you need to use. See [Datadog Site][2] for more information. -1. To install the Worker, run the following commands: - ```shell - helm repo add datadog https://helm.datadoghq.com - ``` - ```shell - helm repo update - ``` - ```shell - helm upgrade --install \ - opw datadog/observability-pipelines-worker \ - -f google_gke.yaml - ``` -1. Navigate back to the Observability Pipelines installation page and click **Deploy**. - -[1]: /resources/yaml/observability_pipelines/v2/setup/google_gke.yaml -[2]: /getting_started/site/ +{{% observability_pipelines/install_worker/google_gke %}} + {{% /tab %}} -{{% tab "Linux" %}} +{{% tab "Linux (APT)" %}} -1. Click **Select an API key** to choose the Datadog API key you want to use. -1. Run the command automatically provided in the UI to install the Worker. The command is automatically populated with the environment variables you entered earlier. -1. Navigate back to the Observability Pipelines installation page and click **Deploy**. +{{% observability_pipelines/install_worker/linux_apt %}} {{% /tab %}} -{{% tab "CloudFormation" %}} +{{% tab "Linux (RPM)" %}} + +{{% observability_pipelines/install_worker/linux_rpm %}} -TKTK {{% /tab %}} -{{% tab "Terraform (AWS)" %}} +{{% tab "CloudFormation" %}} -TKTK +{{% observability_pipelines/install_worker/cloudformation %}} {{% /tab %}} {{< /tabs >}} -## Connect Splunk HEC to the Observability Pipelines Worker +## Connect your log sources to the Observability Pipelines Worker TKTK -[1]: /obs_pipelines/dual_ship_logs_for_splunk_tcp -[2]: https://docs.splunk.com/Documentation/Splunk/latest/Data/UsetheHTTPEventCollector \ No newline at end of file +[1]: /dual_ship_logs/splunk_tcp/ +[2]: https://app.datadoghq.com/observability-pipelines \ No newline at end of file diff --git a/content/en/observability_pipelines/dual_ship_logs/splunk_hec_old.md b/content/en/observability_pipelines/dual_ship_logs/splunk_hec_old.md new file mode 100644 index 0000000000000..b6d8ea481ee55 --- /dev/null +++ b/content/en/observability_pipelines/dual_ship_logs/splunk_hec_old.md @@ -0,0 +1,259 @@ +--- +title: Dual Ship Logs from Splunk HEC +kind: documentation +disable_toc: false +--- + +## Overview + +Configure your Splunk HTTP Event Collectors (HEC) so that the Observability Pipelines Worker processes the collected logs before routing them to various applications. These applications could be a SIEM product, archives, or another vendor as part of a vendor migration workflow. See [Dual Ship Logs from Splunk Heavy and Universal Forwarders][1] if you want to use Splunk Heavy/Universal Forwarders. + +This document walks you through the following steps to set up dual shipping: + +1. Set up the Splunk index if you don't have one set up already +1. Set up a pipeline in Observability Pipelines +1. Install the Observability Pipelines Worker +1. Connect your Splunk collector to the Observability Pipelines Worker + +## Set up the Splunk index + +
Observability Pipelines supports acknowledgments when you enable the Enable Indexer Acknowledgments setting on the input. Indexer acknowledgement is only available for Splunk Enterprise
+ +You must provision a Splunk HEC input and HEC token on the Splunk index so that the Observability Pipelines Worker can send logs to Splunk. If you don't have one set up, follow the instructions in the [Configure HTTP Event Collector on Splunk Cloud Platform][2] section. + +After configuring the HTTP Event Collector, use the Splunk HEC token to set up Observability Pipelines. + +For existing HEC configurations, you can get this token from the Splunk app: +1. In Splunk, navigate to **Settings** > **Data Inputs**. +1. Go to the **HTTP Event Collector** tab +1. Copy the **Token Value** from your target collector. + +## Set up a pipeline in Observability Pipelines + +1. Navigate to [Observability Pipelines][LINK]. +1. Select the **Dual Ship Logs** use case to create a new pipeline. +1. Select **Splunk HEC** as the source. + +### Add processors + +There are pre-selected processors and you can add additional processors for your use case. The order of the processors is important because a log can match multiple filters. Click on the drag handle icon on the top left corner of the processor to reorder it. The following processors are available: + +{{< tabs >}} +{{% tab "Filter" %}} + +Add a query to filter your logs. + +{{% /tab %}} +{{% tab "Sampler" %}} + +1. Add a query to filter your logs +1. Enter the percent of logs to sample. + +{{% /tab %}} +{{% tab "Quota" %}} + +1. Add a query to filter your logs. +1. Select in the **Unit for quota** dropdown menu if you want to determine the quota by events or volume. +1. Set the daily quota limit and select the unit of measurement. +1. Uncheck **Drop fields** if you want to…TKTK + +{{% /tab %}} +{{% tab "Edit field" %}} + +Select one of the following type of reamp in the dropdown menu: **add field**, **drop field**, or **rename field**. + +#### Add a field +For the **Add field** remap: + +1. Select the field. +1. Add a query. +1. Enter the key and value you want to add. + +#### Drop a field + +For the **Drop** remap: +1. Add a query to filter to logs. +1. Enter the key you want to drop. + +#### Rename a field +For the **Rename** remap: +1. Add a query to filter the logs. +1. Enter the key that you want to remap. +1. Enter the key that you want the original key to be remapped to. +1. If you to do not want to keep the original source tag, uncheck **Preserve source tag**. + +{{% /tab %}} +{{< /tabs >}} + +### Add the destinations for your logs + +1. Select the destinations for your logs. +1. If applicable, enter the information for the destinations selected: +{{< tabs >}} +{{% tab "Splunk HEC" %}} + +3. Enter the Splunk index. +4. In the **Encoding** dropdown menu, select whether you want to encode in **JSON** or **Raw**. +5. Check the box if you want to auto extract the timestamp. +6. Enter the `sourcetype`. + +{{% /tab %}} +{{% tab "Splunk TCP" %}} + +TKTK + +{{% /tab %}} + +{{% tab "Sumo Logic" %}} + +This destination will be configured through environment variables in the Worker deployment step. + +{{% /tab %}} +{{% tab "Datadog" %}} + +Secrets will be set (for example, the Datadog API Key) when you install the OP Worker. + +{{% /tab %}} +{{< /tabs >}} + +## Install the Observability Pipelines Worker + +1. Select your platform in the **Choose your installation platform** dropdown menu. +1. Enter the Splunk HEC address. The Observability Pipelines Worker listens on the this port address for logs originally intended for the Splunk indexer. See [Connect Splunk HEC to the Observability Pipelines Worker](#connect-splunk-hec-to-the-observability-pipelines-worker) for instructions on how to direct the Splunk HEC to the Worker. The Splunk HEC address is stored in the `DD_OP_SOURCE_SPLUNK_HEC_ADDRESS` environment variable. +1. Provide the environment variables for each of your selected destinations. +{{< tabs >}} +{{% tab "Splunk HEC" %}} +1. Enter the Splunk HEC token, which is typically in UUID format. This information is stored in the `DD_OP_DESTINATION_SPLUNK_HEC_TOKEN` environment variable. +1. Enter the Splunk HEC endpoint URL in the **Splunk HEC address** field. + - Make sure to specify the port. If you are using Splunk Cloud, this is an example URL: `https://.splunkcloud.com:8088`. The Observability Pipelines Worker listens on this port for logs originally intended for the Splunk indexer. See [Send Data to HTTP Event Collector][1] for more information. + - If you are using Splunk on-premises, then check the port here under **global settings**. + - **Note**: `/services/collector/event` is automatically appended to the endpoint. + - The Splunk HEC endpoint URL is stored in the `DD_OP_DESTINATION_SPLUNK_HEC_ENDPOINT` environment variable. + +[1]: https://docs.splunk.com/Documentation/Splunk/latest/Data/UsetheHTTPEventCollector#Send_data_to_HTTP_Event_Collector + +{{% /tab %}} +{{% tab "Splunk TCP" %}} + +TKTK + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +Enter the Sumo Logic HTTP collector URL. + +For example, `https:///reciever/v1/http/` with your Sumo Logic collection endpoint. + - `` with the string that follows the last forward slash (`/`) in the upload URL for the HTTP source. + +{{% /tab %}} +{{% tab "Datadog" %}} + +TKTK + +{{% /tab %}} +{{% tab "Datadog Log Archives" %}} + +1. Enter the name of the S3 archive bucket you created earlier. +1. Enter the AWS region of the target service. +1. Enter the AWS access key ID of the S3 archive bucket you created earlier +1. Enter the AWS secret access key of your S3 archive bucket. + +{{% /tab %}} +{{< /tabs >}} +3. Follow the instructions for your environment to install the Worker. +{{< tabs >}} +{{% tab "Docker" %}} + +1. Click **Select an API key** to choose the Datadog API key you want to use. +1. Run the command automatically provided in the UI to install the Worker. The command is automatically populated with the environment variables you entered earlier. +1. Navigate back to the Observability Pipelines installation page and click **Deploy**. + +{{% /tab %}} +{{% tab "Amazon EKS" %}} + +1. Download the [Helm chart values file][1] for Amazon EKS. +1. In the Helm chart values file, replace `site` with {{< region-param key="dd_site" code="true" >}}. Make sure you have the correct site region selected in the upper right side of the page to show the site URL you need to use. See [Datadog Site][2] for more information. +1. To install the Worker, run the following commands: + ```shell + helm repo add datadog https://helm.datadoghq.com + ``` + ```shell + helm repo update + ``` + ```shell + helm upgrade --install \ + opw datadog/observability-pipelines-worker \ + -f aws_eks.yaml + ``` +1. Navigate back to the Observability Pipelines installation page. Click **Deploy**. + +[1]: /resources/yaml/observability_pipelines/v2/setup/aws_eks.yaml +[2]: /getting_started/site/ +{{% /tab %}} +{{% tab "Azure AKS" %}} + +1. Download the [Helm chart values file][1] for Azure AKS. +1. In the Helm chart values file, replace `site` with {{< region-param key="dd_site" code="true" >}}. Make sure you have the correct site region selected in the upper right side of the page to show the site region URL you need to use. See [Datadog Site][2] for more information. +1. To install the Worker, run the following commands: + ```shell + helm repo add datadog https://helm.datadoghq.com + ``` + ```shell + helm repo update + ``` + ```shell + helm upgrade --install \ + opw datadog/observability-pipelines-worker \ + -f azure_aks.yaml + ``` +1. Navigate back to the Observability Pipelines installation page. Click **Deploy**. + +[1]: /resources/yaml/observability_pipelines/v2/setup/azure_aks.yaml +[2]: /getting_started/site/ +{{% /tab %}} +{{% tab "Google GKE" %}} + +1. Download the [Helm chart values file][1] for Google GKE. +1. In the Helm chart values file, replace `site` with {{< region-param key="dd_site" code="true" >}}. Make sure you have the correct site region selected in the upper right side of the page to show the site region URL you need to use. See [Datadog Site][2] for more information. +1. To install the Worker, run the following commands: + ```shell + helm repo add datadog https://helm.datadoghq.com + ``` + ```shell + helm repo update + ``` + ```shell + helm upgrade --install \ + opw datadog/observability-pipelines-worker \ + -f google_gke.yaml + ``` +1. Navigate back to the Observability Pipelines installation page and click **Deploy**. + +[1]: /resources/yaml/observability_pipelines/v2/setup/google_gke.yaml +[2]: /getting_started/site/ +{{% /tab %}} +{{% tab "Linux" %}} + +1. Click **Select an API key** to choose the Datadog API key you want to use. +1. Run the command automatically provided in the UI to install the Worker. The command is automatically populated with the environment variables you entered earlier. +1. Navigate back to the Observability Pipelines installation page and click **Deploy**. + +{{% /tab %}} +{{% tab "CloudFormation" %}} + +TKTK +{{% /tab %}} +{{% tab "Terraform (AWS)" %}} + +TKTK + +{{% /tab %}} +{{< /tabs >}} + +## Connect Splunk HEC to the Observability Pipelines Worker + +TKTK + +[1]: /obs_pipelines/dual_ship_logs_for_splunk_tcp +[2]: https://docs.splunk.com/Documentation/Splunk/latest/Data/UsetheHTTPEventCollector \ No newline at end of file diff --git a/content/en/observability_pipelines/log_volume_control/_index.md b/content/en/observability_pipelines/log_volume_control/_index.md index 661cedde29fda..988abc93ef9ff 100644 --- a/content/en/observability_pipelines/log_volume_control/_index.md +++ b/content/en/observability_pipelines/log_volume_control/_index.md @@ -16,8 +16,8 @@ As your infrastructure and applications grow, so does your log volume and the co Select a log source to get started: -- [Splunk HEC][1] -- [Splunk TCP][2] +- [Splunk HTTP Event Collector][1] +- [Splunk Heavy and Universal Forwarders][2] - [Sumo Logic][3] [1]: \observability_pipelines\log_volume_control\splunk_hec diff --git a/content/en/observability_pipelines/log_volume_control/splunk_hec.md b/content/en/observability_pipelines/log_volume_control/splunk_hec.md new file mode 100644 index 0000000000000..7f2a125594f11 --- /dev/null +++ b/content/en/observability_pipelines/log_volume_control/splunk_hec.md @@ -0,0 +1,159 @@ +--- +title: Log Volume Control for Splunk HTTP Event Collector (HEC) +kind: document +disable_toc: false +--- + +## Overview + +Set up the Observability Pipelines Worker with the Splunk HTTP Event Collector (HEC) source so that you route only useful logs to your destinations. + +This document walks you through the following steps: +1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines +1. [Setting up Observability Pipelines](#set-up-observability-pipelines) +1. [Connecting your log sources to the Observability Pipelines Worker](#connect-your-log-sources-to-the-observability-pipelines-worker) + +## Prerequisites + +{{% observability_pipelines/prerequisites/splunk_hec %}} + +## Set up Observability Pipelines + +1. Navigate to [Observability Pipelines][1]. +1. Select the **Log Volume Control** use case to create a new pipeline. +1. Select **Splunk HEC** as the source. + +### Set up the source + +{{% observability_pipelines/source_settings/splunk_hec %}} + +### Set up destinations + +{{% observability_pipelines/destination_settings/splunk_hec %}} + +{{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_settings/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_settings/splunk_hec %}} + +{{% /tab %}} +{{% tab "Splunk TCP" %}} + +{{% observability_pipelines/destination_settings/splunk_tcp %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_settings/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} + +### Set up processors + +{{% observability_pipelines/processors/intro %}} + +{{< tabs >}} +{{% tab "Filter" %}} + +{{% observability_pipelines/processors/filter %}} + +{{% /tab %}} +{{% tab "Sample" %}} + +{{% observability_pipelines/processors/sample %}} + +{{% /tab %}} +{{% tab "Quota" %}} + +{{% observability_pipelines/processors/quota %}} + +{{% /tab %}} +{{% tab "Dedupe" %}} + +{{% observability_pipelines/processors/dedupe %}} + +{{% /tab %}} +{{% tab "Remap" %}} + +{{% observability_pipelines/processors/remap %}} + +{{% /tab %}} +{{< /tabs >}} + +## Install the Observability Pipelines Worker +1. Select your platform in the **Choose your installation platform** dropdown menu. +1. Enter the Splunk HEC address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Provide the environment variables for each of your selected destinations. +{{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_env_vars/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_env_vars/splunk_hec %}} + +{{% /tab %}} +{{% tab "Splunk TCP" %}} + +{{% observability_pipelines/destination_env_vars/splunk_tcp %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_env_vars/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} + +1. Follow the instructions for your environment to install the Worker. +{{< tabs >}} +{{% tab "Docker" %}} + +{{% observability_pipelines/install_worker/docker %}} + +{{% /tab %}} +{{% tab "Amazon EKS" %}} + +{{% observability_pipelines/install_worker/amazon_eks %}} + +{{% /tab %}} +{{% tab "Azure AKS" %}} + +{{% observability_pipelines/install_worker/azure_aks %}} + +{{% /tab %}} +{{% tab "Google GKE" %}} + +{{% observability_pipelines/install_worker/google_gke %}} + +{{% /tab %}} +{{% tab "Linux (APT)" %}} + +{{% observability_pipelines/install_worker/linux_apt %}} + +{{% /tab %}} +{{% tab "Linux (RPM)" %}} + +{{% observability_pipelines/install_worker/linux_rpm %}} + +{{% /tab %}} +{{% tab "CloudFormation" %}} + +{{% observability_pipelines/install_worker/cloudformation %}} + +{{% /tab %}} +{{< /tabs >}} + +## Connect your log sources to the Observability Pipelines Worker + +TKTK + +[1]: https://app.datadoghq.com/observability-pipelines \ No newline at end of file diff --git a/content/en/observability_pipelines/sensitive_data_redaction/_index.md b/content/en/observability_pipelines/sensitive_data_redaction/_index.md index b6f0b1a40902a..322806ca7b14f 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/_index.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/_index.md @@ -11,8 +11,8 @@ Sensitive data, such as credit card numbers, bank routing numbers, and API keys, Select a log source to get started: - [Datadog Agent][1] -- [Splunk HEC][2] -- [Splunk TCP][3] +- [Splunk HTTP Event Collector][2] +- [Splunk Heavy and Universal Forwarders][3] - [Sumo Logic][4] [1]: \observability_pipelines\sesntive_data_redaction\datadog_agent diff --git a/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md b/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md new file mode 100644 index 0000000000000..a854676a8de4a --- /dev/null +++ b/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md @@ -0,0 +1,159 @@ +--- +title: Sensitive Data Redaction for Splunk HTTP Event Collector (HEC) +kind: document +disable_toc: false +--- + +## Overview + +Sensitive data, such as credit card numbers, bank routing numbers, and API keys, can be revealed unintentionally in your logs, which can expose your organization to financial and privacy risks. Use the Observability Pipelines to identify, tag, and optionally redact or hash sensitive information before routing logs to different destinations and outside of your infrastructure. You can use out-of-the-box scanning rules to detect common patterns such as email addresses, credit card numbers, API keys, authorization tokens, and more. Or, create custom scanning rules using regex patterns to match sensitive information. + +This document walks through the following steps: +1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines +1. [Setting up Observability Pipelines](#set-up-observability-pipelines) +1. [Connecting your log sources to the Observability Pipelines Worker](#connect-your-log-sources-to-the-observability-pipelines-worker) + +## Prerequisites + +{{% observability_pipelines/prerequisites/splunk_hec %}} + +## Set up Observability Pipelines + +1. Navigate to [Observability Pipelines][1]. +1. Select the **Sensitive Data Redaction** use case to create a new pipeline. +1. Select **Splunk HEC** as the source. + +### Set up the source + +{{% observability_pipelines/source_settings/splunk_hec %}} + +### Set up destinations + +{{% observability_pipelines/destination_settings/splunk_hec %}} + +{{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_settings/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_settings/splunk_hec %}} + +{{% /tab %}} +{{% tab "Splunk TCP" %}} + +{{% observability_pipelines/destination_settings/splunk_tcp %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_settings/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} + +### Set up processors + +{{% observability_pipelines/processors/intro %}} + +{{< tabs >}} +{{% tab "Filter" %}} + +{{% observability_pipelines/processors/filter %}} + +{{% /tab %}} +{{% tab "Sample" %}} + +{{% observability_pipelines/processors/sample %}} + +{{% /tab %}} +{{% tab "Quota" %}} + +{{% observability_pipelines/processors/quota %}} + +{{% /tab %}} +{{% tab "Dedupe" %}} + +{{% observability_pipelines/processors/dedupe %}} + +{{% /tab %}} +{{% tab "Remap" %}} + +{{% observability_pipelines/processors/remap %}} + +{{% /tab %}} +{{< /tabs >}} + +## Install the Observability Pipelines Worker +1. Select your platform in the **Choose your installation platform** dropdown menu. +1. Enter the Splunk HEC address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Provide the environment variables for each of your selected destinations. +{{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_env_vars/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_env_vars/splunk_hec %}} + +{{% /tab %}} +{{% tab "Splunk TCP" %}} + +{{% observability_pipelines/destination_env_vars/splunk_tcp %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_env_vars/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} + +1. Follow the instructions for your environment to install the Worker. +{{< tabs >}} +{{% tab "Docker" %}} + +{{% observability_pipelines/install_worker/docker %}} + +{{% /tab %}} +{{% tab "Amazon EKS" %}} + +{{% observability_pipelines/install_worker/amazon_eks %}} + +{{% /tab %}} +{{% tab "Azure AKS" %}} + +{{% observability_pipelines/install_worker/azure_aks %}} + +{{% /tab %}} +{{% tab "Google GKE" %}} + +{{% observability_pipelines/install_worker/google_gke %}} + +{{% /tab %}} +{{% tab "Linux (APT)" %}} + +{{% observability_pipelines/install_worker/linux_apt %}} + +{{% /tab %}} +{{% tab "Linux (RPM)" %}} + +{{% observability_pipelines/install_worker/linux_rpm %}} + +{{% /tab %}} +{{% tab "CloudFormation" %}} + +{{% observability_pipelines/install_worker/cloudformation %}} + +{{% /tab %}} +{{< /tabs >}} + +## Connect your log sources to the Observability Pipelines Worker + +TKTK + +[1]: https://app.datadoghq.com/observability-pipelines \ No newline at end of file diff --git a/content/en/observability_pipelines/split_logs/_index.md b/content/en/observability_pipelines/split_logs/_index.md index cdfe784298a90..cfb942f5deac2 100644 --- a/content/en/observability_pipelines/split_logs/_index.md +++ b/content/en/observability_pipelines/split_logs/_index.md @@ -11,8 +11,8 @@ Oftentimes, organizations need to send their logs to multiple products for diffe Select your log source to get started: - [Datadog Agent][1] -- [Splunk HEC][2] -- [Splunk TCP][3] +- [Splunk HTTP Event Collector][2] +- [Splunk Heavy and Universal Forwarders][3] - [Sumo Logic][4] [1]: \observability_pipelines\split_logs\datadog_agent diff --git a/content/en/observability_pipelines/split_logs/splunk_hec.md b/content/en/observability_pipelines/split_logs/splunk_hec.md new file mode 100644 index 0000000000000..c38bb50495919 --- /dev/null +++ b/content/en/observability_pipelines/split_logs/splunk_hec.md @@ -0,0 +1,160 @@ +--- +title: Split Logs from Splunk HTTP Event Collector (HEC) +kind: document +disable_toc: false +--- + +## Overview + +Configure your Splunk HTTP Event Collectors (HEC) to send logs to the Observability Pipelines Worker and then to different destinations based on your use case. See [Split logs from Splunk Heavy and Universal Forwarders][1] if you want to use Splunk Heavy or Universal Forwarders. + +This document walks you through the following setup steps: +1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines +1. [Setting up Observability Pipelines](#set-up-observability-pipelines) +1. [Connecting your log sources to the Observability Pipelines Worker](#connect-your-log-sources-to-the-observability-pipelines-worker) + +## Prerequisites + +{{% observability_pipelines/prerequisites/splunk_hec %}} + +## Set up Observability Pipelines + +1. Navigate to [Observability Pipelines][2]. +1. Select the **Split Logs** use case to create a new pipeline. +1. Select **Splunk HEC** as the source. + +### Set up the source + +{{% observability_pipelines/source_settings/splunk_hec %}} + +### Set up destinations + +{{% observability_pipelines/destination_settings/splunk_hec %}} + +{{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_settings/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_settings/splunk_hec %}} + +{{% /tab %}} +{{% tab "Splunk TCP" %}} + +{{% observability_pipelines/destination_settings/splunk_tcp %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_settings/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} + +### Set up processors + +{{% observability_pipelines/processors/intro %}} + +{{< tabs >}} +{{% tab "Filter" %}} + +{{% observability_pipelines/processors/filter %}} + +{{% /tab %}} +{{% tab "Sample" %}} + +{{% observability_pipelines/processors/sample %}} + +{{% /tab %}} +{{% tab "Quota" %}} + +{{% observability_pipelines/processors/quota %}} + +{{% /tab %}} +{{% tab "Dedupe" %}} + +{{% observability_pipelines/processors/dedupe %}} + +{{% /tab %}} +{{% tab "Remap" %}} + +{{% observability_pipelines/processors/remap %}} + +{{% /tab %}} +{{< /tabs >}} + +## Install the Observability Pipelines Worker +1. Select your platform in the **Choose your installation platform** dropdown menu. +1. Enter the Splunk HEC address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Provide the environment variables for each of your selected destinations. +{{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_env_vars/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_env_vars/splunk_hec %}} + +{{% /tab %}} +{{% tab "Splunk TCP" %}} + +{{% observability_pipelines/destination_env_vars/splunk_tcp %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_env_vars/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} + +1. Follow the instructions for your environment to install the Worker. +{{< tabs >}} +{{% tab "Docker" %}} + +{{% observability_pipelines/install_worker/docker %}} + +{{% /tab %}} +{{% tab "Amazon EKS" %}} + +{{% observability_pipelines/install_worker/amazon_eks %}} + +{{% /tab %}} +{{% tab "Azure AKS" %}} + +{{% observability_pipelines/install_worker/azure_aks %}} + +{{% /tab %}} +{{% tab "Google GKE" %}} + +{{% observability_pipelines/install_worker/google_gke %}} + +{{% /tab %}} +{{% tab "Linux (APT)" %}} + +{{% observability_pipelines/install_worker/linux_apt %}} + +{{% /tab %}} +{{% tab "Linux (RPM)" %}} + +{{% observability_pipelines/install_worker/linux_rpm %}} + +{{% /tab %}} +{{% tab "CloudFormation" %}} + +{{% observability_pipelines/install_worker/cloudformation %}} + +{{% /tab %}} +{{< /tabs >}} + +## Connect your log sources to the Observability Pipelines Worker + +TKTK + +[1]: /split_logs/splunk_tcp/ +[2]: https://app.datadoghq.com/observability-pipelines \ No newline at end of file From 44e868d83e6132d929d548a6848c95933c1769d5 Mon Sep 17 00:00:00 2001 From: May Lee Date: Wed, 3 Apr 2024 18:13:14 -0400 Subject: [PATCH 35/88] update nav and titles and more --- config/_default/menus/menus.en.yaml | 20 +++++++++---------- .../archive_logs/_index.md | 11 +++++----- .../archive_logs/splunk_hec.md | 4 ++-- .../dual_ship_logs/_index.md | 4 ++-- .../dual_ship_logs/splunk_hec.md | 4 ++-- .../log_volume_control/_index.md | 8 ++++---- .../log_volume_control/splunk_hec.md | 4 ++-- .../sensitive_data_redaction/_index.md | 10 +++++----- .../sensitive_data_redaction/splunk_hec.md | 4 ++-- .../split_logs/_index.md | 10 +++++----- .../split_logs/splunk_hec.md | 6 +++--- 11 files changed, 43 insertions(+), 42 deletions(-) diff --git a/config/_default/menus/menus.en.yaml b/config/_default/menus/menus.en.yaml index 46c9dfea8a229..4e6559bfdf851 100644 --- a/config/_default/menus/menus.en.yaml +++ b/config/_default/menus/menus.en.yaml @@ -3362,12 +3362,12 @@ main: parent: observability_pipelines_log_volume_control identifier: observability_pipelines_log_volume_control_splunk_hec weight: 1001 - - name: Splunk Heavy and Universal Forwarders + - name: Splunk Forwarders (TCP) url: observability_pipelines/dual_ship_logs/splunk_tcp/ parent: observability_pipelines_log_volume_control identifier: observability_pipelines_log_volume_control_splunk_tcp weight: 1002 - - name: Sumo Logic HTTP Logs Collector + - name: Sumo Logic Hosted Collector url: observability_pipelines/log_volume_control/sumo_logic/ parent: observability_pipelines_log_volume_control identifier: observability_pipelines_log_volume_control_sumo_logic @@ -3387,12 +3387,12 @@ main: parent: observability_pipelines_dual_ship_logs identifier: observability_pipelines_dual_ship_logs_splunk_hec weight: 2002 - - name: Splunk Heavy and Universal Forwarders + - name: Splunk Forwarders (TCP) url: observability_pipelines/dual_ship_logs/splunk_tcp/ parent: observability_pipelines_dual_ship_logs identifier: observability_pipelines_dual_ship_logs_splunk_tcp weight: 2003 - - name: Sumo Logic HTTP Logs Collector + - name: Sumo Logic Hosted Collector url: observability_pipelines/dual_ship_logs/sumo_logic/ parent: observability_pipelines_dual_ship_logs identifier: observability_pipelines_dual_ship_logs_sumo_logic @@ -3412,12 +3412,12 @@ main: parent: observability_pipelines_archive_logs identifier: observability_pipelines_archive_logs_splunk_hec weight: 3002 - - name: Splunk Heavy and Universal Forwarders + - name: Splunk Forwarders (TCP) url: observability_pipelines/archive_logs/splunk_tcp/ parent: observability_pipelines_archive_logs identifier: observability_pipelines_archive_logs_splunk_tcp weight: 3003 - - name: Sumo Logic HTTP Logs Collector + - name: Sumo Logic Hosted Collector url: observability_pipelines/archive_logs/sumo_logic/ parent: observability_pipelines_archive_logs identifier: observability_pipelines_archive_logs_sumo_logic @@ -3437,12 +3437,12 @@ main: parent: observability_pipelines_split_logs identifier: observability_pipelines_split_logs_splunk_hec weight: 4002 - - name: Splunk Heavy and Universal Forwarders + - name: Splunk Forwarders (TCP) url: observability_pipelines/split_logs/splunk_tcp/ parent: observability_pipelines_split_logs identifier: observability_pipelines_split_logs_splunk_tcp weight: 4003 - - name: Sumo Logic HTTP Logs Collector + - name: Sumo Logic Hosted Collector url: observability_pipelines/split_logs/sumo_logic/ parent: observability_pipelines_split_logs identifier: observability_pipelines_split_logs_sumo_logic @@ -3462,12 +3462,12 @@ main: parent: observability_pipelines_sensitive_data_redaction identifier: observability_pipelines_sensitive_data_redaction_splunk_hec weight: 5002 - - name: Splunk Heavy and Universal Forwarders + - name: Splunk Forwarders (TCP) url: observability_pipelines/sensitive_data_redaction/splunk_tcp/ parent: observability_pipelines_sensitive_data_redaction identifier: observability_pipelines_sensitive_data_redaction_splunk_tcp weight: 5003 - - name: Sumo Logic HTTP Logs Collector + - name: Sumo Logic Hosted Collector url: observability_pipelines/sensitive_data_redaction/sumo_logic/ parent: observability_pipelines_sensitive_data_redaction identifier: observability_pipelines_sensitive_data_redaction_sumo_logic diff --git a/content/en/observability_pipelines/archive_logs/_index.md b/content/en/observability_pipelines/archive_logs/_index.md index 275346de38a3a..38290d707af49 100644 --- a/content/en/observability_pipelines/archive_logs/_index.md +++ b/content/en/observability_pipelines/archive_logs/_index.md @@ -16,10 +16,11 @@ Select a source to get started: - [Datadog Agent][1] - [Splunk HTTP Event Collector][2] -- [Splunk Heavy and Universal Forwarders][3] +- [Splunk Heavy and Universal Forwarders (TCP)][3] - [Sumo Logic][4] -[1]: \observability_pipelines\archive_logs\datadog_agent -[2]: \observability_pipelines\archive_logs\splunk_hec -[3]: \observability_pipelines\archive_logs\splunk_tcp -[4]: \observability_pipelines\archive_logs\sumo_logic +[1]: /observability_pipelines/archive_logs/datadog_agent +[2]: /observability_pipelines/archive_logs/splunk_hec +[3]: /observability_pipelines/archive_logs/splunk_tcp +[4]: /observability_pipelines/archive_logs/sumo_logic_hosted_collector + diff --git a/content/en/observability_pipelines/archive_logs/splunk_hec.md b/content/en/observability_pipelines/archive_logs/splunk_hec.md index 8ee13f4572e5a..814a4b1691393 100644 --- a/content/en/observability_pipelines/archive_logs/splunk_hec.md +++ b/content/en/observability_pipelines/archive_logs/splunk_hec.md @@ -13,7 +13,7 @@ This document walks through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Configuring a Log Archive](#configure-a-log-archive) 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) -1. [Connecting your log sources to the Observability Pipelines Worker](#connect-your-log-sources-to-the-observability-pipelines-worker) +1. [Routing your logs to the Observability Pipelines Worker](#route-your-logs-to-the-observability-pipelines-worker) ## Prerequisites @@ -303,7 +303,7 @@ See the [Log Archives documentation][5] for additional information. {{% /tab %}} {{< /tabs >}} -## Connect your log sources to the Observability Pipelines Worker +## Route your logs to the Observability Pipelines Worker TKTK diff --git a/content/en/observability_pipelines/dual_ship_logs/_index.md b/content/en/observability_pipelines/dual_ship_logs/_index.md index a36d63011fc4e..53afaa6b4225e 100644 --- a/content/en/observability_pipelines/dual_ship_logs/_index.md +++ b/content/en/observability_pipelines/dual_ship_logs/_index.md @@ -12,10 +12,10 @@ Select a source to get started: - [Datadog Agent][1] - [Splunk HTTP Event Collector][2] -- [Splunk Heavy and Universal Forwarders][3] +- [Splunk Heavy and Universal Forwarders (TCP)][3] - [Sumo Logic][4] [1]: /observability_pipelines/dual_ship_logs/datadog_agent [2]: /observability_pipelines/dual_ship_logs/splunk_hec [3]: /observability_pipelines/dual_ship_logs/splunk_tcp -[4]: /observability_pipelines/dual_ship_logs/sumo_logic +[4]: /observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector diff --git a/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md b/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md index d8a243fea60d6..c91845e70cbdd 100644 --- a/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md +++ b/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md @@ -14,7 +14,7 @@ This document walks you through the following steps to set up dual shipping: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) -1. [Connecting your log sources to the Observability Pipelines Worker](#connect-your-log-sources-to-the-observability-pipelines-worker) +1. [Routing your logs to the Observability Pipelines Worker](#route-your-logs-to-the-observability-pipelines-worker) ## Prerequisites @@ -155,7 +155,7 @@ This document walks you through the following steps to set up dual shipping: {{% /tab %}} {{< /tabs >}} -## Connect your log sources to the Observability Pipelines Worker +## Route your logs to the Observability Pipelines Worker TKTK diff --git a/content/en/observability_pipelines/log_volume_control/_index.md b/content/en/observability_pipelines/log_volume_control/_index.md index 988abc93ef9ff..117e8452363b1 100644 --- a/content/en/observability_pipelines/log_volume_control/_index.md +++ b/content/en/observability_pipelines/log_volume_control/_index.md @@ -17,9 +17,9 @@ As your infrastructure and applications grow, so does your log volume and the co Select a log source to get started: - [Splunk HTTP Event Collector][1] -- [Splunk Heavy and Universal Forwarders][2] +- [Splunk Heavy and Universal Forwarders (TCP)][2] - [Sumo Logic][3] -[1]: \observability_pipelines\log_volume_control\splunk_hec -[2]: \observability_pipelines\log_volume_control\splunk_tcp -[3]: \observability_pipelines\log_volume_control\sumo_logic \ No newline at end of file +[1]: /observability_pipelines/log_volume_control/splunk_hec +[2]: /observability_pipelines/log_volume_control/splunk_tcp +[3]: /observability_pipelines/log_volume_control/sumo_logic_hosted_collector \ No newline at end of file diff --git a/content/en/observability_pipelines/log_volume_control/splunk_hec.md b/content/en/observability_pipelines/log_volume_control/splunk_hec.md index 7f2a125594f11..f649f61e11a08 100644 --- a/content/en/observability_pipelines/log_volume_control/splunk_hec.md +++ b/content/en/observability_pipelines/log_volume_control/splunk_hec.md @@ -11,7 +11,7 @@ Set up the Observability Pipelines Worker with the Splunk HTTP Event Collector ( This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) -1. [Connecting your log sources to the Observability Pipelines Worker](#connect-your-log-sources-to-the-observability-pipelines-worker) +1. [Routing your logs to the Observability Pipelines Worker](#route-your-logs-to-the-observability-pipelines-worker) ## Prerequisites @@ -152,7 +152,7 @@ This document walks you through the following steps: {{% /tab %}} {{< /tabs >}} -## Connect your log sources to the Observability Pipelines Worker +## Route your logs to the Observability Pipelines Worker TKTK diff --git a/content/en/observability_pipelines/sensitive_data_redaction/_index.md b/content/en/observability_pipelines/sensitive_data_redaction/_index.md index 322806ca7b14f..f343c9c177bf0 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/_index.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/_index.md @@ -12,10 +12,10 @@ Select a log source to get started: - [Datadog Agent][1] - [Splunk HTTP Event Collector][2] -- [Splunk Heavy and Universal Forwarders][3] +- [Splunk Heavy and Universal Forwarders (TCP)][3] - [Sumo Logic][4] -[1]: \observability_pipelines\sesntive_data_redaction\datadog_agent -[2]: \observability_pipelines\sesntive_data_redaction\splunk_hec -[3]: \observability_pipelines\sesntive_data_redaction\splunk_tcp -[4]: \observability_pipelines\sesntive_data_redaction\sumo_logic +[1]: /observability_pipelines/sensitive_data_redaction/datadog_agent +[2]: /observability_pipelines/sensitive_data_redaction/splunk_hec +[3]: /observability_pipelines/sensitive_data_redaction/splunk_tcp +[4]: /observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector diff --git a/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md b/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md index a854676a8de4a..c13060a053ba8 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md @@ -11,7 +11,7 @@ Sensitive data, such as credit card numbers, bank routing numbers, and API keys, This document walks through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) -1. [Connecting your log sources to the Observability Pipelines Worker](#connect-your-log-sources-to-the-observability-pipelines-worker) +1. [Routing your logs to the Observability Pipelines Worker](#route-your-logs-to-the-observability-pipelines-worker) ## Prerequisites @@ -152,7 +152,7 @@ This document walks through the following steps: {{% /tab %}} {{< /tabs >}} -## Connect your log sources to the Observability Pipelines Worker +## Route your logs to the Observability Pipelines Worker TKTK diff --git a/content/en/observability_pipelines/split_logs/_index.md b/content/en/observability_pipelines/split_logs/_index.md index cfb942f5deac2..28d1f70cc4b6d 100644 --- a/content/en/observability_pipelines/split_logs/_index.md +++ b/content/en/observability_pipelines/split_logs/_index.md @@ -12,10 +12,10 @@ Select your log source to get started: - [Datadog Agent][1] - [Splunk HTTP Event Collector][2] -- [Splunk Heavy and Universal Forwarders][3] +- [Splunk Heavy and Universal Forwarders (TCP)][3] - [Sumo Logic][4] -[1]: \observability_pipelines\split_logs\datadog_agent -[2]: \observability_pipelines\split_logs\splunk_hec -[3]: \observability_pipelines\split_logs\splunk_tcp -[4]: \observability_pipelines\split_logs\sumo_logic +[1]: /observability_pipelines/split_logs/datadog_agent +[2]: /observability_pipelines/split_logs/splunk_hec +[3]: /observability_pipelines/split_logs/splunk_tcp +[4]: /observability_pipelines/split_logs/sumo_logic_hosted_collector diff --git a/content/en/observability_pipelines/split_logs/splunk_hec.md b/content/en/observability_pipelines/split_logs/splunk_hec.md index c38bb50495919..18803d28c2b1b 100644 --- a/content/en/observability_pipelines/split_logs/splunk_hec.md +++ b/content/en/observability_pipelines/split_logs/splunk_hec.md @@ -1,5 +1,5 @@ --- -title: Split Logs from Splunk HTTP Event Collector (HEC) +title: Split Logs for Splunk HTTP Event Collector (HEC) kind: document disable_toc: false --- @@ -11,7 +11,7 @@ Configure your Splunk HTTP Event Collectors (HEC) to send logs to the Observabil This document walks you through the following setup steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) -1. [Connecting your log sources to the Observability Pipelines Worker](#connect-your-log-sources-to-the-observability-pipelines-worker) +1. [Routing your logs to the Observability Pipelines Worker](#route-your-logs-to-the-observability-pipelines-worker) ## Prerequisites @@ -152,7 +152,7 @@ This document walks you through the following setup steps: {{% /tab %}} {{< /tabs >}} -## Connect your log sources to the Observability Pipelines Worker +## Route your logs to the Observability Pipelines Worker TKTK From b97c4eb4ff5478973c06359b175d758109b53e80 Mon Sep 17 00:00:00 2001 From: May Lee Date: Thu, 4 Apr 2024 10:47:55 -0400 Subject: [PATCH 36/88] more updates to names --- content/en/observability_pipelines/_index.md | 4 ++-- content/en/observability_pipelines/archive_logs/_index.md | 4 ++-- content/en/observability_pipelines/dual_ship_logs/_index.md | 4 ++-- .../en/observability_pipelines/log_volume_control/_index.md | 4 ++-- .../sensitive_data_redaction/_index.md | 4 ++-- content/en/observability_pipelines/split_logs/_index.md | 4 ++-- 6 files changed, 12 insertions(+), 12 deletions(-) diff --git a/content/en/observability_pipelines/_index.md b/content/en/observability_pipelines/_index.md index 153a9b1e1d69c..cc2656bc0d3af 100644 --- a/content/en/observability_pipelines/_index.md +++ b/content/en/observability_pipelines/_index.md @@ -22,8 +22,8 @@ The following sources are available: - Datadog Agent - Splunk HTTP Event Collector (HEC) -- Splunk Forwarder -- Sumo Logic +- Splunk Forwarders (TCP) +- Sumo Logic Host Collector ## Get started diff --git a/content/en/observability_pipelines/archive_logs/_index.md b/content/en/observability_pipelines/archive_logs/_index.md index 38290d707af49..4f13778935644 100644 --- a/content/en/observability_pipelines/archive_logs/_index.md +++ b/content/en/observability_pipelines/archive_logs/_index.md @@ -15,9 +15,9 @@ Use Observability Pipelines to route ingested logs to an archive or a bucket in Select a source to get started: - [Datadog Agent][1] -- [Splunk HTTP Event Collector][2] +- [Splunk HTTP Event Collector (HEC)][2] - [Splunk Heavy and Universal Forwarders (TCP)][3] -- [Sumo Logic][4] +- [Sumo Logic Host Collector][4] [1]: /observability_pipelines/archive_logs/datadog_agent [2]: /observability_pipelines/archive_logs/splunk_hec diff --git a/content/en/observability_pipelines/dual_ship_logs/_index.md b/content/en/observability_pipelines/dual_ship_logs/_index.md index 53afaa6b4225e..695e9ff793221 100644 --- a/content/en/observability_pipelines/dual_ship_logs/_index.md +++ b/content/en/observability_pipelines/dual_ship_logs/_index.md @@ -11,9 +11,9 @@ As your infrastructure and your organization scales, so does your log volume, co Select a source to get started: - [Datadog Agent][1] -- [Splunk HTTP Event Collector][2] +- [Splunk HTTP Event Collector (HEC)][2] - [Splunk Heavy and Universal Forwarders (TCP)][3] -- [Sumo Logic][4] +- [Sumo Logic Host Collector][4] [1]: /observability_pipelines/dual_ship_logs/datadog_agent [2]: /observability_pipelines/dual_ship_logs/splunk_hec diff --git a/content/en/observability_pipelines/log_volume_control/_index.md b/content/en/observability_pipelines/log_volume_control/_index.md index 117e8452363b1..93ecdf6a4db29 100644 --- a/content/en/observability_pipelines/log_volume_control/_index.md +++ b/content/en/observability_pipelines/log_volume_control/_index.md @@ -16,9 +16,9 @@ As your infrastructure and applications grow, so does your log volume and the co Select a log source to get started: -- [Splunk HTTP Event Collector][1] +- [Splunk HTTP Event Collector (HEC)][1] - [Splunk Heavy and Universal Forwarders (TCP)][2] -- [Sumo Logic][3] +- [Sumo Logic Host Collector][3] [1]: /observability_pipelines/log_volume_control/splunk_hec [2]: /observability_pipelines/log_volume_control/splunk_tcp diff --git a/content/en/observability_pipelines/sensitive_data_redaction/_index.md b/content/en/observability_pipelines/sensitive_data_redaction/_index.md index f343c9c177bf0..d6a3cb71bb497 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/_index.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/_index.md @@ -11,9 +11,9 @@ Sensitive data, such as credit card numbers, bank routing numbers, and API keys, Select a log source to get started: - [Datadog Agent][1] -- [Splunk HTTP Event Collector][2] +- [Splunk HTTP Event Collector (HEC)][2] - [Splunk Heavy and Universal Forwarders (TCP)][3] -- [Sumo Logic][4] +- [Sumo Logic Host Collector][4] [1]: /observability_pipelines/sensitive_data_redaction/datadog_agent [2]: /observability_pipelines/sensitive_data_redaction/splunk_hec diff --git a/content/en/observability_pipelines/split_logs/_index.md b/content/en/observability_pipelines/split_logs/_index.md index 28d1f70cc4b6d..c5185c83c51ca 100644 --- a/content/en/observability_pipelines/split_logs/_index.md +++ b/content/en/observability_pipelines/split_logs/_index.md @@ -11,9 +11,9 @@ Oftentimes, organizations need to send their logs to multiple products for diffe Select your log source to get started: - [Datadog Agent][1] -- [Splunk HTTP Event Collector][2] +- [Splunk HTTP Event Collector (HEC)][2] - [Splunk Heavy and Universal Forwarders (TCP)][3] -- [Sumo Logic][4] +- [Sumo Logic Host Collector][4] [1]: /observability_pipelines/split_logs/datadog_agent [2]: /observability_pipelines/split_logs/splunk_hec From 9915581d9c4a515b8f71837c8d4846848d9b0881 Mon Sep 17 00:00:00 2001 From: May Lee Date: Thu, 4 Apr 2024 12:20:24 -0400 Subject: [PATCH 37/88] add prereqs, source settings, desintation settings shortcodes --- .../archive_logs/splunk_hec.md | 9 ++------- .../dual_ship_logs/splunk_hec.md | 9 ++------- .../log_volume_control/splunk_hec.md | 14 ++------------ .../sensitive_data_redaction/splunk_hec.md | 9 ++------- .../split_logs/splunk_hec.md | 9 ++------- .../destination_settings/datadog.md | 2 +- .../datadog_log_archives.md | 10 +++++++++- .../destination_settings/splunk_hec.md | 7 ++++++- .../destination_settings/splunk_tcp.md | 1 - .../destination_settings/sumo_logic.md | 8 +++++++- .../prerequisites/datadog_agent.md | 12 +++++++++++- .../prerequisites/splunk_hec.md | 17 ++++++++++++++++- .../prerequisites/splunk_tcp.md | 10 +++++++++- .../prerequisites/sumo_logic.md | 11 ++++++++++- .../source_settings/datadog.md | 2 +- .../source_settings/splunk_hec.md | 7 ++++++- .../source_settings/splunk_tcp.md | 7 ++++++- .../source_settings/sumo_logic.md | 4 +++- 18 files changed, 95 insertions(+), 53 deletions(-) delete mode 100644 layouts/shortcodes/observability_pipelines/destination_settings/splunk_tcp.md diff --git a/content/en/observability_pipelines/archive_logs/splunk_hec.md b/content/en/observability_pipelines/archive_logs/splunk_hec.md index 814a4b1691393..516b0b2e8215b 100644 --- a/content/en/observability_pipelines/archive_logs/splunk_hec.md +++ b/content/en/observability_pipelines/archive_logs/splunk_hec.md @@ -178,9 +178,9 @@ See the [Log Archives documentation][5] for additional information. {{% observability_pipelines/source_settings/splunk_hec %}} -### Set up destinations +### Set up the destinations -{{% observability_pipelines/destination_settings/splunk_hec %}} +Enter the following information based on your selected logs destinations. {{< tabs >}} {{% tab "Datadog" %}} @@ -192,11 +192,6 @@ See the [Log Archives documentation][5] for additional information. {{% observability_pipelines/destination_settings/splunk_hec %}} -{{% /tab %}} -{{% tab "Splunk TCP" %}} - -{{% observability_pipelines/destination_settings/splunk_tcp %}} - {{% /tab %}} {{% tab "Sumo Logic" %}} diff --git a/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md b/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md index c91845e70cbdd..976f81b32b3a5 100644 --- a/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md +++ b/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md @@ -30,9 +30,9 @@ This document walks you through the following steps to set up dual shipping: {{% observability_pipelines/source_settings/splunk_hec %}} -### Set up destinations +### Set up the destinations -{{% observability_pipelines/destination_settings/splunk_hec %}} +Enter the following information based on your selected logs destinations. {{< tabs >}} {{% tab "Datadog" %}} @@ -44,11 +44,6 @@ This document walks you through the following steps to set up dual shipping: {{% observability_pipelines/destination_settings/splunk_hec %}} -{{% /tab %}} -{{% tab "Splunk TCP" %}} - -{{% observability_pipelines/destination_settings/splunk_tcp %}} - {{% /tab %}} {{% tab "Sumo Logic" %}} diff --git a/content/en/observability_pipelines/log_volume_control/splunk_hec.md b/content/en/observability_pipelines/log_volume_control/splunk_hec.md index f649f61e11a08..d315ab92c18b8 100644 --- a/content/en/observability_pipelines/log_volume_control/splunk_hec.md +++ b/content/en/observability_pipelines/log_volume_control/splunk_hec.md @@ -27,25 +27,15 @@ This document walks you through the following steps: {{% observability_pipelines/source_settings/splunk_hec %}} -### Set up destinations +### Set up the destination -{{% observability_pipelines/destination_settings/splunk_hec %}} +Enter the following information based on your selected logs destination. {{< tabs >}} -{{% tab "Datadog" %}} - -{{% observability_pipelines/destination_settings/datadog %}} - -{{% /tab %}} {{% tab "Splunk HEC" %}} {{% observability_pipelines/destination_settings/splunk_hec %}} -{{% /tab %}} -{{% tab "Splunk TCP" %}} - -{{% observability_pipelines/destination_settings/splunk_tcp %}} - {{% /tab %}} {{% tab "Sumo Logic" %}} diff --git a/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md b/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md index c13060a053ba8..fc71b62776171 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md @@ -27,9 +27,9 @@ This document walks through the following steps: {{% observability_pipelines/source_settings/splunk_hec %}} -### Set up destinations +### Set up the destination -{{% observability_pipelines/destination_settings/splunk_hec %}} +Enter the following information based on your selected logs destination. {{< tabs >}} {{% tab "Datadog" %}} @@ -41,11 +41,6 @@ This document walks through the following steps: {{% observability_pipelines/destination_settings/splunk_hec %}} -{{% /tab %}} -{{% tab "Splunk TCP" %}} - -{{% observability_pipelines/destination_settings/splunk_tcp %}} - {{% /tab %}} {{% tab "Sumo Logic" %}} diff --git a/content/en/observability_pipelines/split_logs/splunk_hec.md b/content/en/observability_pipelines/split_logs/splunk_hec.md index 18803d28c2b1b..00793cfd2af29 100644 --- a/content/en/observability_pipelines/split_logs/splunk_hec.md +++ b/content/en/observability_pipelines/split_logs/splunk_hec.md @@ -27,9 +27,9 @@ This document walks you through the following setup steps: {{% observability_pipelines/source_settings/splunk_hec %}} -### Set up destinations +### Set up the destinations -{{% observability_pipelines/destination_settings/splunk_hec %}} +Enter the following information based on your selected logs destinations. {{< tabs >}} {{% tab "Datadog" %}} @@ -41,11 +41,6 @@ This document walks you through the following setup steps: {{% observability_pipelines/destination_settings/splunk_hec %}} -{{% /tab %}} -{{% tab "Splunk TCP" %}} - -{{% observability_pipelines/destination_settings/splunk_tcp %}} - {{% /tab %}} {{% tab "Sumo Logic" %}} diff --git a/layouts/shortcodes/observability_pipelines/destination_settings/datadog.md b/layouts/shortcodes/observability_pipelines/destination_settings/datadog.md index 7221b4d732336..244ebd1d63389 100644 --- a/layouts/shortcodes/observability_pipelines/destination_settings/datadog.md +++ b/layouts/shortcodes/observability_pipelines/destination_settings/datadog.md @@ -1 +1 @@ -REUSE INSTRUCTIONS \ No newline at end of file +There are no configuration steps for your Datadog destination. Your `Datadog API key` is selected in the [installation step][link to installation step] later. \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/destination_settings/datadog_log_archives.md b/layouts/shortcodes/observability_pipelines/destination_settings/datadog_log_archives.md index 7221b4d732336..1e422f004a00e 100644 --- a/layouts/shortcodes/observability_pipelines/destination_settings/datadog_log_archives.md +++ b/layouts/shortcodes/observability_pipelines/destination_settings/datadog_log_archives.md @@ -1 +1,9 @@ -REUSE INSTRUCTIONS \ No newline at end of file +
If the Worker is ingesting logs that are not coming from the Datadog Agent and are shipped to an archive using the Observability Pipelines Datadog Archives destination, those logs are not tagged with reserved attributes. In addition, logs rehydrated into Datadog will not have standard attributes mapped. This means that when you rehydrate your logs into Log Management, you may lose Datadog telemetry, the ability to search logs easily, and the benefits of unified service tagging if you do not structure and remap your logs in Observability Pipelines before routing your logs to an archive.

For example, say your syslogs are sent to Datadog Archives and those logs have the status tagged as severity instead of the reserved attribute of status and the host tagged as host-name instead of the reserved attribute hostname. When these logs are rehydrated in Datadog, the status for the logs are all set to info and none of the logs will have a hostname tag. +
+ +1. Enter the S3 bucket name for the S3 bucket you created earlier. +1. Enter the AWS region the S3 bucket is in. +1. Enter the key prefix. Prefixes are useful for partitioning objects, such as by creating an object key that stores objects under a particular directory. If using a prefix for this purpose, it must end in / to act as a directory path. A trailing / is not automatically added. +1. Select the storage class for your S3 bucket in the **Storage Class** dropdown menu. + +Your AWS Access key ID and AWS secret access key is set [as environment variables][link to Datadog Archives destination env vars] when you install the Worker. diff --git a/layouts/shortcodes/observability_pipelines/destination_settings/splunk_hec.md b/layouts/shortcodes/observability_pipelines/destination_settings/splunk_hec.md index 7221b4d732336..e819c0919da86 100644 --- a/layouts/shortcodes/observability_pipelines/destination_settings/splunk_hec.md +++ b/layouts/shortcodes/observability_pipelines/destination_settings/splunk_hec.md @@ -1 +1,6 @@ -REUSE INSTRUCTIONS \ No newline at end of file +Enter the name of the Splunk index you want your data. This has to be an allowed index for your HEC. + +The following fields are optional: +1. In the **Encoding** dropdown menu, select whether you want to encode your pipeline's output in `JSON` or `Raw` text encodings. If no decoding is selected, the decoding defaults to JSON. +1. Select whether the timestamp should be auto-extracted. If set to `true`, Splunk extracts the timestamp from the message text with the expected format of `yyyy-mm-dd hh:mm:ss`. +1. Set the `sourcetype` to override Splunk's default value, which is `httpevent` for HEC data. diff --git a/layouts/shortcodes/observability_pipelines/destination_settings/splunk_tcp.md b/layouts/shortcodes/observability_pipelines/destination_settings/splunk_tcp.md deleted file mode 100644 index 7221b4d732336..0000000000000 --- a/layouts/shortcodes/observability_pipelines/destination_settings/splunk_tcp.md +++ /dev/null @@ -1 +0,0 @@ -REUSE INSTRUCTIONS \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/destination_settings/sumo_logic.md b/layouts/shortcodes/observability_pipelines/destination_settings/sumo_logic.md index 7221b4d732336..92758abeff24e 100644 --- a/layouts/shortcodes/observability_pipelines/destination_settings/sumo_logic.md +++ b/layouts/shortcodes/observability_pipelines/destination_settings/sumo_logic.md @@ -1 +1,7 @@ -REUSE INSTRUCTIONS \ No newline at end of file +The following fields are optional: + +1. In the **Encoding** dropdown menu, select whether you want to encode your pipeline's output in `JSON`, `Logfmt`, or `Raw` text. If no decoding is selected, the decoding defaults to JSON. +1. Enter a **source name** to override the default `name` value configured for your Sumo Logic collector's source. +1. Enter a **host name** to override the default `host` value configured for your Sumo Logic collector's source. +1. Enter a **category name** to override the default `category` value configured for your Sumo Logic collector's source. +1. Click **Add Header** to add any custom header fields and values. diff --git a/layouts/shortcodes/observability_pipelines/prerequisites/datadog_agent.md b/layouts/shortcodes/observability_pipelines/prerequisites/datadog_agent.md index 7221b4d732336..65a616b043c07 100644 --- a/layouts/shortcodes/observability_pipelines/prerequisites/datadog_agent.md +++ b/layouts/shortcodes/observability_pipelines/prerequisites/datadog_agent.md @@ -1 +1,11 @@ -REUSE INSTRUCTIONS \ No newline at end of file +You already have the Datadog Agent installed to collect and route your logs to [Datadog Log Management][101]. If you do not have Datadog Agents set up, see [Datadog Agent documentation][102] for more information. + +You have the following information available: +- The Datadog Agent address, including the port, that your Observability Pipelines Worker will listen on for logs. +- A Datadog API key with [Remote Configuration enabled][103]. +- Your Datadog `Site URL`[104]. For example `datadoghq.com` for the site `US1`. + +[101]: /logs/ +[102]: /agent/ +[103]: /agent/remote_config/?tab=configurationyamlfile#setup +[104]: /getting_started/site/ diff --git a/layouts/shortcodes/observability_pipelines/prerequisites/splunk_hec.md b/layouts/shortcodes/observability_pipelines/prerequisites/splunk_hec.md index 7221b4d732336..ccb7abac0dbfa 100644 --- a/layouts/shortcodes/observability_pipelines/prerequisites/splunk_hec.md +++ b/layouts/shortcodes/observability_pipelines/prerequisites/splunk_hec.md @@ -1 +1,16 @@ -REUSE INSTRUCTIONS \ No newline at end of file +To use Observability Pipelines's Splunk HTTP Event Collector (HEC) source, you have applications sending data to Splunk in the [expected HEC format][101]. + +To use Observability Pipelines's Splunk HEC destination, you have a Splunk Enterprise or Cloud instance configured with an HTTP Event Collector (HEC) input. You also have the following information available: + +- The Splunk HEC token. +- The bind address that your Observability Pipelines Worker will listen on to receive logs. For example, `0.0.0.0:8088`. +- The base URL of the Splunk instance that the Worker will send processed logs to. This URL should include the port that is globally configured for Splunk HTTP Event Collectors on your Splunk instance. +- If your HECs are globally configured to enable SSL, then you also need the appropriate [TLS certificates][102] and password you used to create your private key file. + +See [Configure HTTP Event Collector on Splunk Web][103] for more information about setting up Splunk HEC. + +**Note**: Observability Pipelines does not support HEC Indexer Acknowledgement. + +[101]: https://docs.splunk.com/Documentation/SplunkCloud/latest/Data/UsetheHTTPEventCollector#Send_data_to_HTTP_Event_Collector +[102]: https://docs.splunk.com/Documentation/Splunk/9.2.0/Security/StepstosecuringSplunkwithTLS#2._Obtain_the_certificates_that_you_need_to_secure_your_Splunk_platform_deployment +[103]: https://docs.splunk.com/Documentation/SplunkCloud/latest/Data/UsetheHTTPEventCollector \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/prerequisites/splunk_tcp.md b/layouts/shortcodes/observability_pipelines/prerequisites/splunk_tcp.md index 7221b4d732336..fa95632f48587 100644 --- a/layouts/shortcodes/observability_pipelines/prerequisites/splunk_tcp.md +++ b/layouts/shortcodes/observability_pipelines/prerequisites/splunk_tcp.md @@ -1 +1,9 @@ -REUSE INSTRUCTIONS \ No newline at end of file +To use Observability Pipelines's Splunk TCP source, you have a Splunk Enterprise or Cloud Instance alongside either a Splunk Universal Forwarder or a Splunk Heavy Forwarder routing data to your Splunk instance. You also have the following information available: +- The bind address that your Observability Pipelines Worker will listen on to receive logs. For example, `0.0.0.0:8088` +- The appropriate [TLS certificates][101] and the password you used to create your private key if your forwarders are globally configured to enable SSL + +See [Deploy a Universal Forwarder][102] or [Deploy a Heavy Forwarder][103] for more information on Splunk forwarders. + +[101]: https://docs.splunk.com/Documentation/Splunk/9.2.0/Security/StepstosecuringSplunkwithTLS#2._Obtain_the_certificates_that_you_need_to_secure_your_Splunk_platform_deployment +[102]: https://docs.splunk.com/Documentation/Forwarder/9.2.0/Forwarder/Installtheuniversalforwardersoftware +[103]: https://docs.splunk.com/Documentation/Splunk/9.2.1/Forwarding/Deployaheavyforwarder diff --git a/layouts/shortcodes/observability_pipelines/prerequisites/sumo_logic.md b/layouts/shortcodes/observability_pipelines/prerequisites/sumo_logic.md index 7221b4d732336..4168fd635bb2f 100644 --- a/layouts/shortcodes/observability_pipelines/prerequisites/sumo_logic.md +++ b/layouts/shortcodes/observability_pipelines/prerequisites/sumo_logic.md @@ -1 +1,10 @@ -REUSE INSTRUCTIONS \ No newline at end of file +To use Observability Pipelines's Sumo Logic source, you have applications sending data to Sumo Logic in the [expected format][101]. + +To use Observability Pipelines's Sumo Logic destination, you have a Hosted Sumo Logic Collector with a HTTP Logs source, and the following information available: +- The bind address that your Observability Pipelines Worker will listen on to receive logs. For example, `0.0.0.0:80`. +- The URL of the Sumo Logic HTTP Logs Source that the Worker will send processed logs to. This URL is provided by Sumo Logic once you configure your hosted collector and set up an HTTP Logs and Metrics source. + +See [Configure HTTP Logs Source on Sumo Logic][102] for more information. + +[101]: https://help.sumologic.com/docs/send-data/hosted-collectors/http-source/logs-metrics/upload-logs/ +[102]: https://help.sumologic.com/docs/send-data/hosted-collectors/http-source/logs-metrics/ \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/source_settings/datadog.md b/layouts/shortcodes/observability_pipelines/source_settings/datadog.md index 7221b4d732336..d0e0c90c5554d 100644 --- a/layouts/shortcodes/observability_pipelines/source_settings/datadog.md +++ b/layouts/shortcodes/observability_pipelines/source_settings/datadog.md @@ -1 +1 @@ -REUSE INSTRUCTIONS \ No newline at end of file +There are no settings to configure in this step. Your Datadog Agent address as an [environment variable][link to DD agent env vars section] is set in the installation step later. diff --git a/layouts/shortcodes/observability_pipelines/source_settings/splunk_hec.md b/layouts/shortcodes/observability_pipelines/source_settings/splunk_hec.md index 7221b4d732336..4cccae9ef31a2 100644 --- a/layouts/shortcodes/observability_pipelines/source_settings/splunk_hec.md +++ b/layouts/shortcodes/observability_pipelines/source_settings/splunk_hec.md @@ -1 +1,6 @@ -REUSE INSTRUCTIONS \ No newline at end of file +Optionally, check the box to enable TLS. If you enable TLS, the following certificate and key files are required: +- `Server Certificate Path`: The path to the certificate file that has been signed by your Certificate Authority (CA) Root File in either DER, PEM (X.509). +- `CA Certificate Path`: The path to the certificate file that is your Certificate Authority (CA) Root File in either DER, PEM (X.509). +- `Private Key Path`: The path to the `.key` private key file that belongs to your Server Certificate Path in either DER or PEM (PKCS#8) format. + +The address where the Worker expects Splunk HEC data is set as an [environment variable][link to Splunk HEC agent env vars section] in the installation step later. diff --git a/layouts/shortcodes/observability_pipelines/source_settings/splunk_tcp.md b/layouts/shortcodes/observability_pipelines/source_settings/splunk_tcp.md index 7221b4d732336..2bbf563595306 100644 --- a/layouts/shortcodes/observability_pipelines/source_settings/splunk_tcp.md +++ b/layouts/shortcodes/observability_pipelines/source_settings/splunk_tcp.md @@ -1 +1,6 @@ -REUSE INSTRUCTIONS \ No newline at end of file +Optionally, check the box to enable TLS. If you enable TLS, the following certificate and key files are required: +- `Server Certificate Path`: The path to the certificate file that has been signed by - your Certificate Authority (CA) Root File in either DER, PEM (X.509). +- `CA Certificate Path`: The path to the certificate file that is your Certificate Authority (CA) Root File in either DER, PEM (X.509). +- `Private Key Path`: The path to the `.key` private key file that belongs to your Server Certificate Path in either DER or PEM (PKCS#8) format. + +The address where the Worker expects Splunk TCP data input is set as an [environment variable][link to TCP env vars section] in the installation step later. \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/source_settings/sumo_logic.md b/layouts/shortcodes/observability_pipelines/source_settings/sumo_logic.md index 7221b4d732336..dfc8a4f035600 100644 --- a/layouts/shortcodes/observability_pipelines/source_settings/sumo_logic.md +++ b/layouts/shortcodes/observability_pipelines/source_settings/sumo_logic.md @@ -1 +1,3 @@ -REUSE INSTRUCTIONS \ No newline at end of file +Optionally, in the **Decoding** dropdown menu, select whether your input format is raw **Bytes**, **JSON**, Graylog Extended Log Format (**Gelf**), or **Syslog**. If no decoding is selected, the decoding defaults to JSON. + +The address where the Worker expects Sumo Logic data input is set as an [environment variable][link to Sumo Logic env vars section] in the installation step later. \ No newline at end of file From 9920ec5722e4eddbc372faf7dc4eabbc72e6e6e6 Mon Sep 17 00:00:00 2001 From: May Lee Date: Thu, 4 Apr 2024 13:31:25 -0400 Subject: [PATCH 38/88] add processors --- .../archive_logs/splunk_hec.md | 6 ++++ .../dual_ship_logs/splunk_hec.md | 6 ++++ .../log_volume_control/splunk_hec.md | 6 ++++ .../sensitive_data_redaction/splunk_hec.md | 6 ++++ .../split_logs/splunk_hec.md | 6 ++++ .../processors/dedupe.md | 10 +++++- .../processors/filter.md | 5 ++- .../processors/filter_syntax.md | 19 +++++++++++- .../processors/intro.md | 4 ++- .../processors/quota.md | 10 +++++- .../processors/remap.md | 31 ++++++++++++++++++- .../processors/sample.md | 8 ++++- 12 files changed, 110 insertions(+), 7 deletions(-) diff --git a/content/en/observability_pipelines/archive_logs/splunk_hec.md b/content/en/observability_pipelines/archive_logs/splunk_hec.md index 516b0b2e8215b..e4ae599dc1ce5 100644 --- a/content/en/observability_pipelines/archive_logs/splunk_hec.md +++ b/content/en/observability_pipelines/archive_logs/splunk_hec.md @@ -204,6 +204,12 @@ Enter the following information based on your selected logs destinations. {{% observability_pipelines/processors/intro %}} +{{% observability_pipelines/processors/filter_syntax %}} + +#### Add processors + +Enter the information for the processors you want to use. Click the **Add** button to add additional processors. To delete a processor, click the kebab on the right side of the processor and select **Delete**. + {{< tabs >}} {{% tab "Filter" %}} diff --git a/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md b/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md index 976f81b32b3a5..3fc24a15f91e0 100644 --- a/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md +++ b/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md @@ -56,6 +56,12 @@ Enter the following information based on your selected logs destinations. {{% observability_pipelines/processors/intro %}} +{{% observability_pipelines/processors/filter_syntax %}} + +#### Add processors + +Enter the information for the processors you want to use. Click the **Add** button to add additional processors. To delete a processor, click the kebab on the right side of the processor and select **Delete**. + {{< tabs >}} {{% tab "Filter" %}} diff --git a/content/en/observability_pipelines/log_volume_control/splunk_hec.md b/content/en/observability_pipelines/log_volume_control/splunk_hec.md index d315ab92c18b8..84678f721615c 100644 --- a/content/en/observability_pipelines/log_volume_control/splunk_hec.md +++ b/content/en/observability_pipelines/log_volume_control/splunk_hec.md @@ -48,6 +48,12 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/intro %}} +{{% observability_pipelines/processors/filter_syntax %}} + +#### Add processors + +Enter the information for the processors you want to use. Click the **Add** button to add additional processors. To delete a processor, click the kebab on the right side of the processor and select **Delete**. + {{< tabs >}} {{% tab "Filter" %}} diff --git a/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md b/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md index fc71b62776171..c61a6c67f1556 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md @@ -53,6 +53,12 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/intro %}} +{{% observability_pipelines/processors/filter_syntax %}} + +#### Add processors + +Enter the information for the processors you want to use. Click the **Add** button to add additional processors. To delete a processor, click the kebab on the right side of the processor and select **Delete**. + {{< tabs >}} {{% tab "Filter" %}} diff --git a/content/en/observability_pipelines/split_logs/splunk_hec.md b/content/en/observability_pipelines/split_logs/splunk_hec.md index 00793cfd2af29..c6a89713f9a33 100644 --- a/content/en/observability_pipelines/split_logs/splunk_hec.md +++ b/content/en/observability_pipelines/split_logs/splunk_hec.md @@ -53,6 +53,12 @@ Enter the following information based on your selected logs destinations. {{% observability_pipelines/processors/intro %}} +{{% observability_pipelines/processors/filter_syntax %}} + +#### Add processors + +Enter the information for the processors you want to use. Click the **Add** button to add additional processors. To delete a processor, click the kebab on the right side of the processor and select **Delete**. + {{< tabs >}} {{% tab "Filter" %}} diff --git a/layouts/shortcodes/observability_pipelines/processors/dedupe.md b/layouts/shortcodes/observability_pipelines/processors/dedupe.md index 7221b4d732336..985e2bcd08ab1 100644 --- a/layouts/shortcodes/observability_pipelines/processors/dedupe.md +++ b/layouts/shortcodes/observability_pipelines/processors/dedupe.md @@ -1 +1,9 @@ -REUSE INSTRUCTIONS \ No newline at end of file +The dedupe processor removes copies of data to reduce volume and noise. It caches 5000 messages at a time and compares your incoming logs traffic against the cached messages. For example, this processor can be used to keep only unique warning logs in the case where multiple identical warning logs are sent in succession. + +To set up the deduplicate processor: +1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) is checked for deduplication based on the rules below. +1. In the **Type of deduplication** dropdown menu, select whether you want to `Match` on or `Ignore` the fields specified below. +- If `Match` is selected, then after a log passes through, future logs that have the same values for all of the fields you specify below is removed. +- If `Ignore` is selected, then after a log passes through, future logs that have the same values for all of their fields, *except* the ones you specify below is removed. +1. Enter the fields you want to match on, or ignore. Click **Add field** if you have additional fields you want to filter on. At least one field is required, and you can specify a maximum of three fields. +- Sub-fields can be matched using dot notation as `outer_field.inner_field`. diff --git a/layouts/shortcodes/observability_pipelines/processors/filter.md b/layouts/shortcodes/observability_pipelines/processors/filter.md index 7221b4d732336..edaf716ffa265 100644 --- a/layouts/shortcodes/observability_pipelines/processors/filter.md +++ b/layouts/shortcodes/observability_pipelines/processors/filter.md @@ -1 +1,4 @@ -REUSE INSTRUCTIONS \ No newline at end of file +This processor filters for logs that match the specified filter query and drops all non-matching logs. If a log is dropped at this processor, then none of the processors below this one receives that log. This processor can filter out unnecessary logs, such as debug or warning logs. + +To set up the filter processor: +Define a **filter query**. The [query](#filter-query-syntax) you specify, filters for and passes on only logs that match it and drops all other logs. \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/processors/filter_syntax.md b/layouts/shortcodes/observability_pipelines/processors/filter_syntax.md index 7221b4d732336..f9392ad32c54f 100644 --- a/layouts/shortcodes/observability_pipelines/processors/filter_syntax.md +++ b/layouts/shortcodes/observability_pipelines/processors/filter_syntax.md @@ -1 +1,18 @@ -REUSE INSTRUCTIONS \ No newline at end of file +#### Filter query syntax + +Each processor has a corresponding filter query in their fields. **Note**: Processors only process logs that match their filter query. + +For any attribute, tag, or `key:value` pair that is not a [reserved attribute][101], your query must start with `@`. Conversely, to filter reserved attributes, you do not need to append `@` in front of your filter query. + +For example, to filter out and drop `status:INFO` logs, your filter can be set as `NOT (status:INFO)`. To filter out and drop `system-status:INFO`, your filter must be set as `NOT (@system-status:INFO)`. + +Filter query examples: +- `NOT (status:DEBUG)`: This filters for only logs that do not have status `DEBUG`. +- `status:OK service:flask-web-app`: This filters for all logs with the status `OK` and originates from your `flask-web-app` service. + - This query can also be written as: `status:OK AND service:flask-web-app`. +-`host:COMP-A9JNGYK OR host:COMP-J58KAS`: This filter query only matches logs from the labeled hosts. + +Learn more about writing filter queries in [Datadog's Log Search Syntax][102]. + +[101]: /logs/log_configuration/attributes_naming_convention/#reserved-attributes +[102]: /logs/explorer/search_syntax/ \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/processors/intro.md b/layouts/shortcodes/observability_pipelines/processors/intro.md index 7221b4d732336..9e2cee4509603 100644 --- a/layouts/shortcodes/observability_pipelines/processors/intro.md +++ b/layouts/shortcodes/observability_pipelines/processors/intro.md @@ -1 +1,3 @@ -REUSE INSTRUCTIONS \ No newline at end of file +There are pre-selected processors added to your processor group out of the box. You can add additional processors or delete any existing ones based on your processing needs. + +Processor groups are executed from top to bottom, and the individual processors can be reordered with the drag handle on their top left corner. The order of the processors is important because logs pass through all processors in a group and are processed by each processor where the log a matches the filter query. diff --git a/layouts/shortcodes/observability_pipelines/processors/quota.md b/layouts/shortcodes/observability_pipelines/processors/quota.md index 7221b4d732336..339f7f9e75099 100644 --- a/layouts/shortcodes/observability_pipelines/processors/quota.md +++ b/layouts/shortcodes/observability_pipelines/processors/quota.md @@ -1 +1,9 @@ -REUSE INSTRUCTIONS \ No newline at end of file +The quota processor measures the logging traffic for logs that match the filter you specify. When the configured daily quota is met inside the 24-hour rolling window, the processor can either drop additional logs or send an alert using a Datadog monitor. You can configure the processor to track the total volume or the total number of events. + +As an example, you can configure this processor to drop new logs or trigger an alert without dropping logs after the processor has received 10 million events from a certain service in the last 24 hours. + +To set up the quota processor: +1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) is counted towards the daily limit. +1. In the **Unit for quota** dropdown menu, select if you want to measure the quota by the number of `Events` or by the `Volume` in bytes. +1. Set the daily quota limit and select the unit of magnitude for your desired quota. +1. Set the **Drop events** dropdown to **True** if you want to drop all events when your quota is met. Leave it at **False** if you plan to set up [a monitor][Datadog monitors link] that sends an alert when the quota is met. \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/processors/remap.md b/layouts/shortcodes/observability_pipelines/processors/remap.md index 7221b4d732336..ffeab03d8f9ec 100644 --- a/layouts/shortcodes/observability_pipelines/processors/remap.md +++ b/layouts/shortcodes/observability_pipelines/processors/remap.md @@ -1 +1,30 @@ -REUSE INSTRUCTIONS \ No newline at end of file +The remap processor can add, drop, or rename fields within your individual log data. Use this processor to enrich your logs with additional context, remove low-value fields to reduce volume, and standardize naming across important attributes. Select **add field**, **drop field**, or **rename field** in the dropdown menu to get started. + +##### Add field +Use **add field** to append a new key-value field to your log. + +To set up add field processor: +1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) is processed. +1. Enter the key and value you want to add. To specify a nested field for your key, use path notation: `outer_field.inner_field`. All values are stored as strings. + **Note**: If the key you specify already exists, then that key's original value is overwritten. + +##### Drop field + +Use **drop field** to drop a field from logging data that matches the filter you specify below. + +To set up the drop field processor: +1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) is processed. +1. Enter the key of the field you want to drop. To specify a nested field for your specified key, use path notation: `outer_field.inner_field`. + **Note**: If your specified key does not exist, then your log will be unimpacted. + +##### Rename field + +Use **rename field** to rename a field within your log. + +To set up the rename field processor: +1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) is processed. +1. Enter the name of the field you want to rename in the **Source key** field. To specify a nested field for your key, use path notation: `outer_field.inner_field`. Once renamed, your original field is deleted unless you enable the **Preserve source tag** checkbox described below. + **Note**: If the source key you specify doesn't exist, then your target has a default null value applied to it. +1. In the **Target key** field, enter the name you want the source field to be renamed to. To specify a nested field for your specified key, use path notation: `outer_field.inner_field`. + **Note**: If the target key you specify already exists, then that key's original value is overwritten. +1. Optionally, check the **Preserve source tag** box if you want to retain the original source field and duplicate the information from your source key to your specified target key. If this box is not checked, the source key is dropped after it is renamed. diff --git a/layouts/shortcodes/observability_pipelines/processors/sample.md b/layouts/shortcodes/observability_pipelines/processors/sample.md index 7221b4d732336..bb53273f7d02e 100644 --- a/layouts/shortcodes/observability_pipelines/processors/sample.md +++ b/layouts/shortcodes/observability_pipelines/processors/sample.md @@ -1 +1,7 @@ -REUSE INSTRUCTIONS \ No newline at end of file +This processor samples your logging traffic for a representative subset at the rate that you define, dropping the remaining logs. As an example, you can use this processor to sample 20% of logs from a noisy non-critical service. + +The sampling only applies to logs that match your filter query and does not impact other logs. If a log is dropped at this processor, then none of the processors below receives that log. + +To set up the sample processor: +1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) is sampled at the specified retention rate below. +1. Set **retain** field with your desired sampling rate expressed as a percentage. For example, entering `1` means 1% of logs is retained out of all the logs that match the filter query. From 98391f2655e605713c7c8b9de4a3e143a9d294df Mon Sep 17 00:00:00 2001 From: May Lee Date: Thu, 4 Apr 2024 15:12:37 -0400 Subject: [PATCH 39/88] add worker installation shortcodes --- .../archive_logs/splunk_hec.md | 10 ++--- .../dual_ship_logs/splunk_hec.md | 9 +--- .../log_volume_control/splunk_hec.md | 9 +--- .../sensitive_data_redaction/splunk_hec.md | 9 +--- .../split_logs/splunk_hec.md | 9 +--- .../destination_env_vars/datadog.md | 2 +- .../datadog_log_archives.md | 2 +- .../destination_env_vars/splunk_hec.md | 4 +- .../destination_env_vars/splunk_tcp.md | 1 - .../destination_env_vars/sumo_logic.md | 2 +- .../destination_settings/datadog.md | 2 +- .../install_worker/amazon_eks.md | 29 ++++++++++++- .../install_worker/azure_aks.md | 29 ++++++++++++- .../install_worker/cloudformation.md | 13 +++++- .../install_worker/docker.md | 17 +++++++- .../install_worker/google_gke.md | 29 ++++++++++++- .../install_worker/linux_apt.md | 41 ++++++++++++++++++- .../install_worker/linux_rpm.md | 41 ++++++++++++++++++- 18 files changed, 210 insertions(+), 48 deletions(-) delete mode 100644 layouts/shortcodes/observability_pipelines/destination_env_vars/splunk_tcp.md diff --git a/content/en/observability_pipelines/archive_logs/splunk_hec.md b/content/en/observability_pipelines/archive_logs/splunk_hec.md index e4ae599dc1ce5..2f572d4ba4d54 100644 --- a/content/en/observability_pipelines/archive_logs/splunk_hec.md +++ b/content/en/observability_pipelines/archive_logs/splunk_hec.md @@ -238,10 +238,11 @@ Enter the information for the processors you want to use. Click the **Add** butt {{% /tab %}} {{< /tabs >}} -## Install the Observability Pipelines Worker +### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. 1. Enter the Splunk HEC address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. -1. Provide the environment variables for each of your selected destinations. +1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. + {{< tabs >}} {{% tab "Datadog" %}} @@ -252,11 +253,6 @@ Enter the information for the processors you want to use. Click the **Add** butt {{% observability_pipelines/destination_env_vars/splunk_hec %}} -{{% /tab %}} -{{% tab "Splunk TCP" %}} - -{{% observability_pipelines/destination_env_vars/splunk_tcp %}} - {{% /tab %}} {{% tab "Sumo Logic" %}} diff --git a/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md b/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md index 3fc24a15f91e0..0cd00414ba5ab 100644 --- a/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md +++ b/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md @@ -90,10 +90,10 @@ Enter the information for the processors you want to use. Click the **Add** butt {{% /tab %}} {{< /tabs >}} -## Install the Observability Pipelines Worker +### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. 1. Enter the Splunk HEC address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. -1. Provide the environment variables for each of your selected destinations. +1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. {{< tabs >}} {{% tab "Datadog" %}} @@ -104,11 +104,6 @@ Enter the information for the processors you want to use. Click the **Add** butt {{% observability_pipelines/destination_env_vars/splunk_hec %}} -{{% /tab %}} -{{% tab "Splunk TCP" %}} - -{{% observability_pipelines/destination_env_vars/splunk_tcp %}} - {{% /tab %}} {{% tab "Sumo Logic" %}} diff --git a/content/en/observability_pipelines/log_volume_control/splunk_hec.md b/content/en/observability_pipelines/log_volume_control/splunk_hec.md index 84678f721615c..71087d55ecde9 100644 --- a/content/en/observability_pipelines/log_volume_control/splunk_hec.md +++ b/content/en/observability_pipelines/log_volume_control/splunk_hec.md @@ -82,10 +82,10 @@ Enter the information for the processors you want to use. Click the **Add** butt {{% /tab %}} {{< /tabs >}} -## Install the Observability Pipelines Worker +### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. 1. Enter the Splunk HEC address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. -1. Provide the environment variables for each of your selected destinations. +1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. {{< tabs >}} {{% tab "Datadog" %}} @@ -96,11 +96,6 @@ Enter the information for the processors you want to use. Click the **Add** butt {{% observability_pipelines/destination_env_vars/splunk_hec %}} -{{% /tab %}} -{{% tab "Splunk TCP" %}} - -{{% observability_pipelines/destination_env_vars/splunk_tcp %}} - {{% /tab %}} {{% tab "Sumo Logic" %}} diff --git a/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md b/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md index c61a6c67f1556..aaf907e2c5313 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md @@ -87,10 +87,10 @@ Enter the information for the processors you want to use. Click the **Add** butt {{% /tab %}} {{< /tabs >}} -## Install the Observability Pipelines Worker +### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. 1. Enter the Splunk HEC address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. -1. Provide the environment variables for each of your selected destinations. +1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. {{< tabs >}} {{% tab "Datadog" %}} @@ -101,11 +101,6 @@ Enter the information for the processors you want to use. Click the **Add** butt {{% observability_pipelines/destination_env_vars/splunk_hec %}} -{{% /tab %}} -{{% tab "Splunk TCP" %}} - -{{% observability_pipelines/destination_env_vars/splunk_tcp %}} - {{% /tab %}} {{% tab "Sumo Logic" %}} diff --git a/content/en/observability_pipelines/split_logs/splunk_hec.md b/content/en/observability_pipelines/split_logs/splunk_hec.md index c6a89713f9a33..337f9cc0c141b 100644 --- a/content/en/observability_pipelines/split_logs/splunk_hec.md +++ b/content/en/observability_pipelines/split_logs/splunk_hec.md @@ -87,10 +87,10 @@ Enter the information for the processors you want to use. Click the **Add** butt {{% /tab %}} {{< /tabs >}} -## Install the Observability Pipelines Worker +### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. 1. Enter the Splunk HEC address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. -1. Provide the environment variables for each of your selected destinations. +1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. {{< tabs >}} {{% tab "Datadog" %}} @@ -101,11 +101,6 @@ Enter the information for the processors you want to use. Click the **Add** butt {{% observability_pipelines/destination_env_vars/splunk_hec %}} -{{% /tab %}} -{{% tab "Splunk TCP" %}} - -{{% observability_pipelines/destination_env_vars/splunk_tcp %}} - {{% /tab %}} {{% tab "Sumo Logic" %}} diff --git a/layouts/shortcodes/observability_pipelines/destination_env_vars/datadog.md b/layouts/shortcodes/observability_pipelines/destination_env_vars/datadog.md index 7221b4d732336..1b0fb283a80be 100644 --- a/layouts/shortcodes/observability_pipelines/destination_env_vars/datadog.md +++ b/layouts/shortcodes/observability_pipelines/destination_env_vars/datadog.md @@ -1 +1 @@ -REUSE INSTRUCTIONS \ No newline at end of file +There are no environment variables to configure for Datadog Log Management. \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/destination_env_vars/datadog_log_archives.md b/layouts/shortcodes/observability_pipelines/destination_env_vars/datadog_log_archives.md index 7221b4d732336..684105278ee95 100644 --- a/layouts/shortcodes/observability_pipelines/destination_env_vars/datadog_log_archives.md +++ b/layouts/shortcodes/observability_pipelines/destination_env_vars/datadog_log_archives.md @@ -1 +1 @@ -REUSE INSTRUCTIONS \ No newline at end of file +Enter the AWS Access key ID and AWS secret access key for the S3 archive bucket you created earlier. You select your Datadog API key in the next step, when you install the Worker. \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/destination_env_vars/splunk_hec.md b/layouts/shortcodes/observability_pipelines/destination_env_vars/splunk_hec.md index 7221b4d732336..fd268b9612793 100644 --- a/layouts/shortcodes/observability_pipelines/destination_env_vars/splunk_hec.md +++ b/layouts/shortcodes/observability_pipelines/destination_env_vars/splunk_hec.md @@ -1 +1,3 @@ -REUSE INSTRUCTIONS \ No newline at end of file +Enter your `Splunk HEC token` and the`Base URL of the Splunk instance` as described in the [prerequisites](#prerequisites). **Note**: Depending on the encoding selected, either `/services/collector/event` or `/services/collector/raw`) is automatically appended to your endpoint. + +The Worker passes the HEC token along to the Splunk collection endpoint. After the Observability Pipelines Worker processes the logs, it sends the logs to the Splunk instance URL specified. diff --git a/layouts/shortcodes/observability_pipelines/destination_env_vars/splunk_tcp.md b/layouts/shortcodes/observability_pipelines/destination_env_vars/splunk_tcp.md deleted file mode 100644 index 7221b4d732336..0000000000000 --- a/layouts/shortcodes/observability_pipelines/destination_env_vars/splunk_tcp.md +++ /dev/null @@ -1 +0,0 @@ -REUSE INSTRUCTIONS \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/destination_env_vars/sumo_logic.md b/layouts/shortcodes/observability_pipelines/destination_env_vars/sumo_logic.md index 7221b4d732336..13104257a7cd2 100644 --- a/layouts/shortcodes/observability_pipelines/destination_env_vars/sumo_logic.md +++ b/layouts/shortcodes/observability_pipelines/destination_env_vars/sumo_logic.md @@ -1 +1 @@ -REUSE INSTRUCTIONS \ No newline at end of file +Enter the Sumo Logic HTTP collector URL. See [prerequisites](#prerequisites) for more information. \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/destination_settings/datadog.md b/layouts/shortcodes/observability_pipelines/destination_settings/datadog.md index 244ebd1d63389..350315dc03b37 100644 --- a/layouts/shortcodes/observability_pipelines/destination_settings/datadog.md +++ b/layouts/shortcodes/observability_pipelines/destination_settings/datadog.md @@ -1 +1 @@ -There are no configuration steps for your Datadog destination. Your `Datadog API key` is selected in the [installation step][link to installation step] later. \ No newline at end of file +There are no configuration steps for your Datadog destination. \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/install_worker/amazon_eks.md b/layouts/shortcodes/observability_pipelines/install_worker/amazon_eks.md index 7221b4d732336..18a88900c6272 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/amazon_eks.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/amazon_eks.md @@ -1 +1,28 @@ -REUSE INSTRUCTIONS \ No newline at end of file +1. Download the [Helm chart values file][101] for Amazon EKS. +1. Click **Select API key** to choose the Datadog API key you want to use. +1. Add the Datadog chart repository to Helm: + ```shell + helm repo add datadog https://helm.datadoghq.com + ``` + If you already have Datadog chart repository, run the following command to make sure it is up to date: + ```shell + helm repo update + ``` + 1. Run the command provided in the UI to install the Worker. The command is automatically populated with the environment variables you entered earlier. + ```shell + helm upgrade --install opw \ + -f aws_eks.yaml \ + --set datadog.apiKey= \ + --set datadog.pipelineId= \ + --set \ + --set \ + --set service.ports[0].protocol=TCP,service.ports[0].port=,service.ports[0].targetPort= \ + datadog/observability-pipelines-worker + ``` + **Note**: By default, the Kubernetes Service maps incoming port `` to the port the Worker is listening on ``. If you want to map the Worker's pod port to a different incoming port of the Kubernetes Service, use the following `service.ports[0].port` and `service.ports[0].targetPort` values in the command: + ``` + --set service.ports[0].protocol=TCP,service.ports[0].port=8088,service.ports[0].targetPort=8282 + ``` +1. Navigate back to the Observability Pipelines installation page and click **Deploy**. + +[101]: /resources/yaml/observability_pipelines/v2/setup/aws_eks.yaml \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/install_worker/azure_aks.md b/layouts/shortcodes/observability_pipelines/install_worker/azure_aks.md index 7221b4d732336..efb1bc51a4eb0 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/azure_aks.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/azure_aks.md @@ -1 +1,28 @@ -REUSE INSTRUCTIONS \ No newline at end of file +1. Download the [Helm chart values file][101] for Azure AKS. +1. Click **Select API key** to choose the Datadog API key you want to use. +1. Add the Datadog chart repository to Helm: + ```shell + helm repo add datadog https://helm.datadoghq.com + ``` + If you already have Datadog chart repository, run the following command to make sure it is up to date: + ```shell + helm repo update + ``` + 1. Run the command provided in the UI to install the Worker. The command is automatically populated with the environment variables you entered earlier. + ```shell + helm upgrade --install opw \ + -f azure_aks.yaml \ + --set datadog.apiKey= \ + --set datadog.pipelineId= \ + --set \ + --set \ + --set service.ports[0].protocol=TCP,service.ports[0].port=,service.ports[0].targetPort= \ + datadog/observability-pipelines-worker + ``` + **Note**: By default, the Kubernetes Service maps incoming port `` to the port the Worker is listening on ``. If you want to map the Worker's pod port to a different incoming port of the Kubernetes Service, use the following `service.ports[0].port` and `service.ports[0].targetPort` values in the command: + ``` + --set service.ports[0].protocol=TCP,service.ports[0].port=8088,service.ports[0].targetPort=8282 + ``` +1. Navigate back to the Observability Pipelines installation page and click **Deploy**. + +[101]: /resources/yaml/observability_pipelines/v2/setup/azure_aks.yaml \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/install_worker/cloudformation.md b/layouts/shortcodes/observability_pipelines/install_worker/cloudformation.md index 7221b4d732336..d56fc977bc929 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/cloudformation.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/cloudformation.md @@ -1 +1,12 @@ -REUSE INSTRUCTIONS \ No newline at end of file +1. Select one of the options in the dropdown to provide the expected log volume for the pipeline: + - Unsure - Use this option if you are not able to project the log volume or you want to test the Worker. This option provisions the EC2 AutoScaling group with a maximum of 2 general purpose instances `t4g.large`. + - 1-5 TB/day - This option provisions the EC2 AutoScaling group with a maximum of 2 compute optimized instances `c6g.large`. + - 5-10 TB/day - This option provisions the EC2 AutoScaling group with a minimum of 2 and a maximum of 5 compute optimized instances `c6g.large`. + - >10 TB/day - Datadog recommends this option for large-scale production deployments. It provisions the EC2 AutoScaling group with a minimum of 2 and a maximum of 10 compute optimized instances `c6g.xlarge`. + - **Note**: All other parameters are set to reasonable defaults for a Worker deployment but you can adjust them for your use case as needed in the AWS Console before creating the stack. +1. Select the AWS region you want to use to install the Worker. +1. Click **Select API key** to choose the Datadog API key you want to use. +1. Click **Launch CloudFormation Template** to navigate to the AWS Console to review the stack configuration and then launch it. Make sure the CloudFormation parameters are as expected. +1. Select the VPC and Subnet you want to use to install the Worker. +1. Review and check the necessary permissions checkboxes for IAM. Click Submit to create the stack. CloudFormation handles the installation at this point; the Worker instances are launched, the necessary software are downloaded, and start running automatically. +1.Navigate back to the Observability Pipelines installation page and click **Deploy**. diff --git a/layouts/shortcodes/observability_pipelines/install_worker/docker.md b/layouts/shortcodes/observability_pipelines/install_worker/docker.md index 7221b4d732336..e1c140776f389 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/docker.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/docker.md @@ -1 +1,16 @@ -REUSE INSTRUCTIONS \ No newline at end of file +1. Click **Select API key** to choose the Datadog API key you want to use. +1. Run the command provided in the UI to install the Worker. The command is automatically populated with the environment variables you entered earlier. + ```shell + docker run -i -e DD_API_KEY= \ + -e DD_OP_PIPELINE_ID= \ + -e DD_SITE= \ + -e \ + -e \ + -p 8088:8088 \ + datadog/observability-pipelines-worker run + ``` + **Note**: By default, the `docker run` command exposes the same port the Worker is listening on. If you want to map the Worker’s container port to a different port on the Docker host, use the `-p | --publish` option in the command: + ``` + -p 8282:8088 datadog/observability-pipelines-worker run + ``` +1. Navigate back to the Observability Pipelines installation page and click **Deploy**. diff --git a/layouts/shortcodes/observability_pipelines/install_worker/google_gke.md b/layouts/shortcodes/observability_pipelines/install_worker/google_gke.md index 7221b4d732336..cc77263784b1b 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/google_gke.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/google_gke.md @@ -1 +1,28 @@ -REUSE INSTRUCTIONS \ No newline at end of file +1. Download the [Helm chart values file][101] for Google GKE. +1. Click **Select API key** to choose the Datadog API key you want to use. +1. Add the Datadog chart repository to Helm: + ```shell + helm repo add datadog https://helm.datadoghq.com + ``` + If you already have Datadog chart repository, run the following command to make sure it is up to date: + ```shell + helm repo update + ``` + 1. Run the command provided in the UI to install the Worker. The command is automatically populated with the environment variables you entered earlier. + ```shell + helm upgrade --install opw \ + -f google_gke.yaml \ + --set datadog.apiKey= \ + --set datadog.pipelineId= \ + --set \ + --set \ + --set service.ports[0].protocol=TCP,service.ports[0].port=,service.ports[0].targetPort= \ + datadog/observability-pipelines-worker + ``` + **Note**: By default, the Kubernetes Service maps incoming port `` to the port the Worker is listening on ``. If you want to map the Worker's pod port to a different incoming port of the Kubernetes Service, use the following `service.ports[0].port` and `service.ports[0].targetPort` values in the command: + ``` + --set service.ports[0].protocol=TCP,service.ports[0].port=8088,service.ports[0].targetPort=8282 + ``` +1. Navigate back to the Observability Pipelines installation page and click **Deploy**. + +[101]: /resources/yaml/observability_pipelines/v2/setup/google_gke.yaml \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/install_worker/linux_apt.md b/layouts/shortcodes/observability_pipelines/install_worker/linux_apt.md index 7221b4d732336..53df395ee52da 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/linux_apt.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/linux_apt.md @@ -1 +1,40 @@ -REUSE INSTRUCTIONS \ No newline at end of file +1. Click **Select API key** to choose the Datadog API key you want to use. +1. Run the one-step command provided in the UI to install the Worker: + ```shell + DD_API_KEY= DD_OP_PIPELINE_ID= DD_SITE= bash -c "$(curl -L https://s3.amazonaws.com/dd-agent/scripts/install_script_op_worker2.sh)" + ``` + +If you prefer not to use the one-line installation script, follow these step-by-step instructions: +1. Set up APT transport for downloading using HTTPS: + ```shell + sudo apt-get update + sudo apt-get install apt-transport-https curl gnupg + ``` +1. Run the following commands to set up the Datadog `deb` repo on your system and create a Datadog archive keyring: + ```shell + sudo sh -c "echo 'deb [signed-by=/usr/share/keyrings/datadog-archive-keyring.gpg] https://apt.datadoghq.com/ stable observability-pipelines-worker-2' > /etc/apt/sources.list.d/datadog-observability-pipelines-worker.list" + sudo touch /usr/share/keyrings/datadog-archive-keyring.gpg + sudo chmod a+r /usr/share/keyrings/datadog-archive-keyring.gpg + curl https://keys.datadoghq.com/DATADOG_APT_KEY_CURRENT.public | sudo gpg --no-default-keyring --keyring /usr/share/keyrings/datadog-archive-keyring.gpg --import --batch + curl https://keys.datadoghq.com/DATADOG_APT_KEY_F14F620E.public | sudo gpg --no-default-keyring --keyring /usr/share/keyrings/datadog-archive-keyring.gpg --import --batch + curl https://keys.datadoghq.com/DATADOG_APT_KEY_C0962C7D.public | sudo gpg --no-default-keyring --keyring /usr/share/keyrings/datadog-archive-keyring.gpg --import --batch + ``` +1. Run the following commands to update your local `apt` repo and install the Worker: + ```shell + sudo apt-get update + sudo apt-get install observability-pipelines-worker datadog-signing-keys + ``` +1. Add your keys, site (for example, `datadoghq.com` for US1), source, and destination environment variables to the Worker's environment file: + ```shell + sudo cat < /etc/default/observability-pipelines-worker + DD_API_KEY= + DD_OP_PIPELINE_ID= + DD_SITE= + + + EOF + ``` +1. Start the worker: + ``` + sudo systemctl restart observability-pipelines-worker + ``` \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/install_worker/linux_rpm.md b/layouts/shortcodes/observability_pipelines/install_worker/linux_rpm.md index 7221b4d732336..ba7e1c4971693 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/linux_rpm.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/linux_rpm.md @@ -1 +1,40 @@ -REUSE INSTRUCTIONS \ No newline at end of file +1. Click **Select API key** to choose the Datadog API key you want to use. +1. Run the one-step command provided in the UI to install the Worker: + ```shell + DD_API_KEY= DD_OP_PIPELINE_ID= DD_SITE= bash -c "$(curl -L https://s3.amazonaws.com/dd-agent/scripts/install_script_op_worker2.sh)" + ``` + +If you prefer not to use the one-line installation script, follow these step-by-step instructions: +1. Set up the Datadog `rpm` repo on your system with the below command. **Note**: If you are running RHEL 8.1 or CentOS 8.1, use `repo_gpgcheck=0` instead of `repo_gpgcheck=1` in the configuration above. + ```shell + cat < /etc/yum.repos.d/datadog-observability-pipelines-worker.repo + [observability-pipelines-worker] + name = Observability Pipelines Worker + baseurl = https://yum.datadoghq.com/stable/observability-pipelines-worker-2/\$basearch/ + enabled=1 + gpgcheck=1 + repo_gpgcheck=1 + gpgkey=https://keys.datadoghq.com/DATADOG_RPM_KEY_CURRENT.public + https://keys.datadoghq.com/DATADOG_RPM_KEY_B01082D3.public + EOF + ``` +1. Update your packages and install the Worker: + ```shell + sudo yum makecache + sudo yum install observability-pipelines-worker + ``` +1. Add your keys, site (for example, `datadoghq.com` for US1), source, and destination environment variables to the Worker's environment file: + ```shell + sudo cat <<-EOF > /etc/default/observability-pipelines-worker + DD_API_KEY= + DD_OP_PIPELINE_ID= + DD_SITE= + + + EOF + ``` +1. Start the worker: + ```shell + sudo systemctl restart observability-pipelines-worker + ``` +1. Navigate back to the Observability Pipelines installation page and click **Deploy**. \ No newline at end of file From 24907661a054eb160bc9b6ce95bda97c4811c517 Mon Sep 17 00:00:00 2001 From: May Lee Date: Thu, 4 Apr 2024 15:30:51 -0400 Subject: [PATCH 40/88] add log source config shortcodes --- .../archive_logs/splunk_hec.md | 6 ++--- .../dual_ship_logs/splunk_hec.md | 6 ++--- .../log_volume_control/splunk_hec.md | 6 ++--- .../sensitive_data_redaction/splunk_hec.md | 6 ++--- .../split_logs/splunk_hec.md | 6 ++--- .../log_source_configuration/datadog.md | 14 +++++++++++- .../log_source_configuration/splunk_hec.md | 22 ++++++++++++++++++- .../log_source_configuration/splunk_tcp.md | 17 +++++++++++++- .../log_source_configuration/sumo_logic.md | 16 +++++++++++++- 9 files changed, 75 insertions(+), 24 deletions(-) diff --git a/content/en/observability_pipelines/archive_logs/splunk_hec.md b/content/en/observability_pipelines/archive_logs/splunk_hec.md index 2f572d4ba4d54..59f8dd2fe72bd 100644 --- a/content/en/observability_pipelines/archive_logs/splunk_hec.md +++ b/content/en/observability_pipelines/archive_logs/splunk_hec.md @@ -13,7 +13,7 @@ This document walks through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Configuring a Log Archive](#configure-a-log-archive) 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) -1. [Routing your logs to the Observability Pipelines Worker](#route-your-logs-to-the-observability-pipelines-worker) +1. [Sending logs to the Worker over Splunk HEC](#send-logs-to-the-observability-pipelines-worker-over-splunk-hec) ## Prerequisites @@ -300,9 +300,7 @@ Enter the information for the processors you want to use. Click the **Add** butt {{% /tab %}} {{< /tabs >}} -## Route your logs to the Observability Pipelines Worker - -TKTK +{{% observability_pipelines/log_source_configuration/splunk_hec %}} [1]: /archive_logs/splunk_tcp/ [2]: https://s3.console.aws.amazon.com/s3/home diff --git a/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md b/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md index 0cd00414ba5ab..27fb3462cbe8e 100644 --- a/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md +++ b/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md @@ -14,7 +14,7 @@ This document walks you through the following steps to set up dual shipping: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) -1. [Routing your logs to the Observability Pipelines Worker](#route-your-logs-to-the-observability-pipelines-worker) +1. [Sending logs to the Worker over Splunk HEC](#send-logs-to-the-observability-pipelines-worker-over-splunk-hec) ## Prerequisites @@ -151,9 +151,7 @@ Enter the information for the processors you want to use. Click the **Add** butt {{% /tab %}} {{< /tabs >}} -## Route your logs to the Observability Pipelines Worker - -TKTK +{{% observability_pipelines/log_source_configuration/splunk_hec %}} [1]: /dual_ship_logs/splunk_tcp/ [2]: https://app.datadoghq.com/observability-pipelines \ No newline at end of file diff --git a/content/en/observability_pipelines/log_volume_control/splunk_hec.md b/content/en/observability_pipelines/log_volume_control/splunk_hec.md index 71087d55ecde9..1ab3755454374 100644 --- a/content/en/observability_pipelines/log_volume_control/splunk_hec.md +++ b/content/en/observability_pipelines/log_volume_control/splunk_hec.md @@ -11,7 +11,7 @@ Set up the Observability Pipelines Worker with the Splunk HTTP Event Collector ( This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) -1. [Routing your logs to the Observability Pipelines Worker](#route-your-logs-to-the-observability-pipelines-worker) +1. [Sending logs to the Worker over Splunk HEC](#send-logs-to-the-observability-pipelines-worker-over-splunk-hec) ## Prerequisites @@ -143,8 +143,6 @@ Enter the information for the processors you want to use. Click the **Add** butt {{% /tab %}} {{< /tabs >}} -## Route your logs to the Observability Pipelines Worker - -TKTK +{{% observability_pipelines/log_source_configuration/splunk_hec %}} [1]: https://app.datadoghq.com/observability-pipelines \ No newline at end of file diff --git a/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md b/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md index aaf907e2c5313..c6cb771b9d477 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md @@ -11,7 +11,7 @@ Sensitive data, such as credit card numbers, bank routing numbers, and API keys, This document walks through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) -1. [Routing your logs to the Observability Pipelines Worker](#route-your-logs-to-the-observability-pipelines-worker) +1. [Sending logs to the Worker over Splunk HEC](#send-logs-to-the-observability-pipelines-worker-over-splunk-hec) ## Prerequisites @@ -148,8 +148,6 @@ Enter the information for the processors you want to use. Click the **Add** butt {{% /tab %}} {{< /tabs >}} -## Route your logs to the Observability Pipelines Worker - -TKTK +{{% observability_pipelines/log_source_configuration/splunk_hec %}} [1]: https://app.datadoghq.com/observability-pipelines \ No newline at end of file diff --git a/content/en/observability_pipelines/split_logs/splunk_hec.md b/content/en/observability_pipelines/split_logs/splunk_hec.md index 337f9cc0c141b..4280acb9c53fe 100644 --- a/content/en/observability_pipelines/split_logs/splunk_hec.md +++ b/content/en/observability_pipelines/split_logs/splunk_hec.md @@ -11,7 +11,7 @@ Configure your Splunk HTTP Event Collectors (HEC) to send logs to the Observabil This document walks you through the following setup steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) -1. [Routing your logs to the Observability Pipelines Worker](#route-your-logs-to-the-observability-pipelines-worker) +1. [Sending logs to the Worker over Splunk HEC](#send-logs-to-the-observability-pipelines-worker-over-splunk-hec) ## Prerequisites @@ -148,9 +148,7 @@ Enter the information for the processors you want to use. Click the **Add** butt {{% /tab %}} {{< /tabs >}} -## Route your logs to the Observability Pipelines Worker - -TKTK +{{% observability_pipelines/log_source_configuration/splunk_hec %}} [1]: /split_logs/splunk_tcp/ [2]: https://app.datadoghq.com/observability-pipelines \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/log_source_configuration/datadog.md b/layouts/shortcodes/observability_pipelines/log_source_configuration/datadog.md index 7221b4d732336..ffe04969b429d 100644 --- a/layouts/shortcodes/observability_pipelines/log_source_configuration/datadog.md +++ b/layouts/shortcodes/observability_pipelines/log_source_configuration/datadog.md @@ -1 +1,13 @@ -REUSE INSTRUCTIONS \ No newline at end of file +## Connect the Datadog Agent to the Observability Pipelines Worker + +To send Datadog Agent logs to the Observability Pipelines Worker, update your agent configuration with the following: +``` +observability_pipelines_worker: + logs: + enabled: true + url: "http://:8282" +``` + +`` is the IP/URL of the host (or load balancer) associated with the Observability Pipelines Worker. For CloudFormation installs, the `LoadBalancerDNS` CloudFormation output has the correct URL to use. For Kubernetes installs, the internal DNS record of the Observability Pipelines Worker service can be used, eg. `opw-observability-pipelines-worker.default.svc.cluster.local`. + +At this point, your observability data should be going to the Worker, processed by the pipeline and delivered to the DataDog Logs. diff --git a/layouts/shortcodes/observability_pipelines/log_source_configuration/splunk_hec.md b/layouts/shortcodes/observability_pipelines/log_source_configuration/splunk_hec.md index 7221b4d732336..778a5bb594e3f 100644 --- a/layouts/shortcodes/observability_pipelines/log_source_configuration/splunk_hec.md +++ b/layouts/shortcodes/observability_pipelines/log_source_configuration/splunk_hec.md @@ -1 +1,21 @@ -REUSE INSTRUCTIONS \ No newline at end of file +## Send logs to the Observability Pipelines Worker over Splunk HEC + +After you install the Observability Pipelines Worker and deploy the configuration, the Worker exposes three HTTP endpoints that uses the [Splunk HEC API][101]: +- `/services/collector/event` +- `/services/collector/raw` +- `/services/collector/health` + +To send logs to your Splunk index, you must point your existing logs upstream to the Worker. +```shell +curl http://:8088/services/collector/event \ + -H "Authorization: Splunk " \ + -d '{"sourcetype": "_json", "event": {"a": "value1", "b": ["value1_1", "value1_2"]}}' +``` + +`` is the IP/URL of the host (or load balancer) associated with the Observability Pipelines Worker. For CloudFormation installs, the `LoadBalancerDNS` CloudFormation output has the correct URL to use. For Kubernetes installs, the internal DNS record of the Observability Pipelines Worker service can be used, for example `opw-observability-pipelines-worker.default.svc.cluster.local`. + +`` is the HEC token you provided during the [Install your OP Worker](link to [Draft] OP 2.0 Doc instructions) step. + +At this point, your logs should be going to the Worker, processed by the pipeline, and delivered to the Splunk index. + +[101]: https://docs.splunk.com/Documentation/Splunk/9.2.1/Data/UsetheHTTPEventCollector \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/log_source_configuration/splunk_tcp.md b/layouts/shortcodes/observability_pipelines/log_source_configuration/splunk_tcp.md index 7221b4d732336..ad400fbf72cf1 100644 --- a/layouts/shortcodes/observability_pipelines/log_source_configuration/splunk_tcp.md +++ b/layouts/shortcodes/observability_pipelines/log_source_configuration/splunk_tcp.md @@ -1 +1,16 @@ -REUSE INSTRUCTIONS \ No newline at end of file +## Connect Splunk Forwarder to the Observability Pipelines Worker + +To forward your logs to the Worker, add the following configuration to your Splunk Heavy/Universal Forwarder's `etc/system/local/outputs.conf` and replace `` with the IP/URL of the host (or load balancer) associated with the Observability Pipelines Worker: + +``` +[tcpout] +compressed=false +sendCookedData=false +defaultGroup=opw + +[tcpout:opw] +server=:8099 +Note: `` is the IP/URL of the host (or load balancer) associated with the Observability Pipelines Worker. For CloudFormation installs, the `LoadBalancerDNS` CloudFormation output has the correct URL to use. For Kubernetes installs, the internal DNS record of the Observability Pipelines Worker service can be used, eg. `opw-observability-pipelines-worker.default.svc.cluster.local`. +``` + +At this point, your logs should be going to the Worker, processed by the pipeline, and delivered to the Splunk index. \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/log_source_configuration/sumo_logic.md b/layouts/shortcodes/observability_pipelines/log_source_configuration/sumo_logic.md index 7221b4d732336..8eba336709605 100644 --- a/layouts/shortcodes/observability_pipelines/log_source_configuration/sumo_logic.md +++ b/layouts/shortcodes/observability_pipelines/log_source_configuration/sumo_logic.md @@ -1 +1,15 @@ -REUSE INSTRUCTIONS \ No newline at end of file +## Send logs to the Observability Pipelines Worker over Sumo Logic HTTP Source + +After you install the Observability Pipelines Worker and deploy the configuration, the Worker exposes HTTP endpoints that uses the [Sumo Logic Http Source API][101]. + +To send logs to your Sumo Logic HTTP Source, you must point your existing logs upstream to the Worker: +```shell +curl -v -X POST -T [local_file_name] http:///receiver/v1/http/ +``` +`` is the IP/URL of the host (or load balancer) associated with the Observability Pipelines Worker. For CloudFormation installs, the `LoadBalancerDNS` CloudFormation output has the correct URL to use. For Kubernetes installs, the internal DNS record of the Observability Pipelines Worker service can be used, eg. `opw-observability-pipelines-worker.default.svc.cluster.local`. + +`` is the string that follows the last forward slash (`/`) in the upload URL for the HTTP source that you provided during the [Install your OP Worker](link to [Draft] OP 2.0 Doc instructions) step. + +At this point, your logs should be going to the Worker, processed by the pipeline, and uploaded to the Sumo Logic HTTP Source. + +[101]: https://help.sumologic.com/docs/send-data/hosted-collectors/http-source/logs-metrics/upload-logs/ \ No newline at end of file From 56019d9d32ffe33d17c0a493697da2177a1245c5 Mon Sep 17 00:00:00 2001 From: May Lee Date: Thu, 4 Apr 2024 15:33:17 -0400 Subject: [PATCH 41/88] remove old splunck hec doc --- .../dual_ship_logs/splunk_hec_old.md | 259 ------------------ 1 file changed, 259 deletions(-) delete mode 100644 content/en/observability_pipelines/dual_ship_logs/splunk_hec_old.md diff --git a/content/en/observability_pipelines/dual_ship_logs/splunk_hec_old.md b/content/en/observability_pipelines/dual_ship_logs/splunk_hec_old.md deleted file mode 100644 index b6d8ea481ee55..0000000000000 --- a/content/en/observability_pipelines/dual_ship_logs/splunk_hec_old.md +++ /dev/null @@ -1,259 +0,0 @@ ---- -title: Dual Ship Logs from Splunk HEC -kind: documentation -disable_toc: false ---- - -## Overview - -Configure your Splunk HTTP Event Collectors (HEC) so that the Observability Pipelines Worker processes the collected logs before routing them to various applications. These applications could be a SIEM product, archives, or another vendor as part of a vendor migration workflow. See [Dual Ship Logs from Splunk Heavy and Universal Forwarders][1] if you want to use Splunk Heavy/Universal Forwarders. - -This document walks you through the following steps to set up dual shipping: - -1. Set up the Splunk index if you don't have one set up already -1. Set up a pipeline in Observability Pipelines -1. Install the Observability Pipelines Worker -1. Connect your Splunk collector to the Observability Pipelines Worker - -## Set up the Splunk index - -
Observability Pipelines supports acknowledgments when you enable the Enable Indexer Acknowledgments setting on the input. Indexer acknowledgement is only available for Splunk Enterprise
- -You must provision a Splunk HEC input and HEC token on the Splunk index so that the Observability Pipelines Worker can send logs to Splunk. If you don't have one set up, follow the instructions in the [Configure HTTP Event Collector on Splunk Cloud Platform][2] section. - -After configuring the HTTP Event Collector, use the Splunk HEC token to set up Observability Pipelines. - -For existing HEC configurations, you can get this token from the Splunk app: -1. In Splunk, navigate to **Settings** > **Data Inputs**. -1. Go to the **HTTP Event Collector** tab -1. Copy the **Token Value** from your target collector. - -## Set up a pipeline in Observability Pipelines - -1. Navigate to [Observability Pipelines][LINK]. -1. Select the **Dual Ship Logs** use case to create a new pipeline. -1. Select **Splunk HEC** as the source. - -### Add processors - -There are pre-selected processors and you can add additional processors for your use case. The order of the processors is important because a log can match multiple filters. Click on the drag handle icon on the top left corner of the processor to reorder it. The following processors are available: - -{{< tabs >}} -{{% tab "Filter" %}} - -Add a query to filter your logs. - -{{% /tab %}} -{{% tab "Sampler" %}} - -1. Add a query to filter your logs -1. Enter the percent of logs to sample. - -{{% /tab %}} -{{% tab "Quota" %}} - -1. Add a query to filter your logs. -1. Select in the **Unit for quota** dropdown menu if you want to determine the quota by events or volume. -1. Set the daily quota limit and select the unit of measurement. -1. Uncheck **Drop fields** if you want to…TKTK - -{{% /tab %}} -{{% tab "Edit field" %}} - -Select one of the following type of reamp in the dropdown menu: **add field**, **drop field**, or **rename field**. - -#### Add a field -For the **Add field** remap: - -1. Select the field. -1. Add a query. -1. Enter the key and value you want to add. - -#### Drop a field - -For the **Drop** remap: -1. Add a query to filter to logs. -1. Enter the key you want to drop. - -#### Rename a field -For the **Rename** remap: -1. Add a query to filter the logs. -1. Enter the key that you want to remap. -1. Enter the key that you want the original key to be remapped to. -1. If you to do not want to keep the original source tag, uncheck **Preserve source tag**. - -{{% /tab %}} -{{< /tabs >}} - -### Add the destinations for your logs - -1. Select the destinations for your logs. -1. If applicable, enter the information for the destinations selected: -{{< tabs >}} -{{% tab "Splunk HEC" %}} - -3. Enter the Splunk index. -4. In the **Encoding** dropdown menu, select whether you want to encode in **JSON** or **Raw**. -5. Check the box if you want to auto extract the timestamp. -6. Enter the `sourcetype`. - -{{% /tab %}} -{{% tab "Splunk TCP" %}} - -TKTK - -{{% /tab %}} - -{{% tab "Sumo Logic" %}} - -This destination will be configured through environment variables in the Worker deployment step. - -{{% /tab %}} -{{% tab "Datadog" %}} - -Secrets will be set (for example, the Datadog API Key) when you install the OP Worker. - -{{% /tab %}} -{{< /tabs >}} - -## Install the Observability Pipelines Worker - -1. Select your platform in the **Choose your installation platform** dropdown menu. -1. Enter the Splunk HEC address. The Observability Pipelines Worker listens on the this port address for logs originally intended for the Splunk indexer. See [Connect Splunk HEC to the Observability Pipelines Worker](#connect-splunk-hec-to-the-observability-pipelines-worker) for instructions on how to direct the Splunk HEC to the Worker. The Splunk HEC address is stored in the `DD_OP_SOURCE_SPLUNK_HEC_ADDRESS` environment variable. -1. Provide the environment variables for each of your selected destinations. -{{< tabs >}} -{{% tab "Splunk HEC" %}} -1. Enter the Splunk HEC token, which is typically in UUID format. This information is stored in the `DD_OP_DESTINATION_SPLUNK_HEC_TOKEN` environment variable. -1. Enter the Splunk HEC endpoint URL in the **Splunk HEC address** field. - - Make sure to specify the port. If you are using Splunk Cloud, this is an example URL: `https://.splunkcloud.com:8088`. The Observability Pipelines Worker listens on this port for logs originally intended for the Splunk indexer. See [Send Data to HTTP Event Collector][1] for more information. - - If you are using Splunk on-premises, then check the port here under **global settings**. - - **Note**: `/services/collector/event` is automatically appended to the endpoint. - - The Splunk HEC endpoint URL is stored in the `DD_OP_DESTINATION_SPLUNK_HEC_ENDPOINT` environment variable. - -[1]: https://docs.splunk.com/Documentation/Splunk/latest/Data/UsetheHTTPEventCollector#Send_data_to_HTTP_Event_Collector - -{{% /tab %}} -{{% tab "Splunk TCP" %}} - -TKTK - -{{% /tab %}} -{{% tab "Sumo Logic" %}} - -Enter the Sumo Logic HTTP collector URL. - -For example, `https:///reciever/v1/http/` with your Sumo Logic collection endpoint. - - `` with the string that follows the last forward slash (`/`) in the upload URL for the HTTP source. - -{{% /tab %}} -{{% tab "Datadog" %}} - -TKTK - -{{% /tab %}} -{{% tab "Datadog Log Archives" %}} - -1. Enter the name of the S3 archive bucket you created earlier. -1. Enter the AWS region of the target service. -1. Enter the AWS access key ID of the S3 archive bucket you created earlier -1. Enter the AWS secret access key of your S3 archive bucket. - -{{% /tab %}} -{{< /tabs >}} -3. Follow the instructions for your environment to install the Worker. -{{< tabs >}} -{{% tab "Docker" %}} - -1. Click **Select an API key** to choose the Datadog API key you want to use. -1. Run the command automatically provided in the UI to install the Worker. The command is automatically populated with the environment variables you entered earlier. -1. Navigate back to the Observability Pipelines installation page and click **Deploy**. - -{{% /tab %}} -{{% tab "Amazon EKS" %}} - -1. Download the [Helm chart values file][1] for Amazon EKS. -1. In the Helm chart values file, replace `site` with {{< region-param key="dd_site" code="true" >}}. Make sure you have the correct site region selected in the upper right side of the page to show the site URL you need to use. See [Datadog Site][2] for more information. -1. To install the Worker, run the following commands: - ```shell - helm repo add datadog https://helm.datadoghq.com - ``` - ```shell - helm repo update - ``` - ```shell - helm upgrade --install \ - opw datadog/observability-pipelines-worker \ - -f aws_eks.yaml - ``` -1. Navigate back to the Observability Pipelines installation page. Click **Deploy**. - -[1]: /resources/yaml/observability_pipelines/v2/setup/aws_eks.yaml -[2]: /getting_started/site/ -{{% /tab %}} -{{% tab "Azure AKS" %}} - -1. Download the [Helm chart values file][1] for Azure AKS. -1. In the Helm chart values file, replace `site` with {{< region-param key="dd_site" code="true" >}}. Make sure you have the correct site region selected in the upper right side of the page to show the site region URL you need to use. See [Datadog Site][2] for more information. -1. To install the Worker, run the following commands: - ```shell - helm repo add datadog https://helm.datadoghq.com - ``` - ```shell - helm repo update - ``` - ```shell - helm upgrade --install \ - opw datadog/observability-pipelines-worker \ - -f azure_aks.yaml - ``` -1. Navigate back to the Observability Pipelines installation page. Click **Deploy**. - -[1]: /resources/yaml/observability_pipelines/v2/setup/azure_aks.yaml -[2]: /getting_started/site/ -{{% /tab %}} -{{% tab "Google GKE" %}} - -1. Download the [Helm chart values file][1] for Google GKE. -1. In the Helm chart values file, replace `site` with {{< region-param key="dd_site" code="true" >}}. Make sure you have the correct site region selected in the upper right side of the page to show the site region URL you need to use. See [Datadog Site][2] for more information. -1. To install the Worker, run the following commands: - ```shell - helm repo add datadog https://helm.datadoghq.com - ``` - ```shell - helm repo update - ``` - ```shell - helm upgrade --install \ - opw datadog/observability-pipelines-worker \ - -f google_gke.yaml - ``` -1. Navigate back to the Observability Pipelines installation page and click **Deploy**. - -[1]: /resources/yaml/observability_pipelines/v2/setup/google_gke.yaml -[2]: /getting_started/site/ -{{% /tab %}} -{{% tab "Linux" %}} - -1. Click **Select an API key** to choose the Datadog API key you want to use. -1. Run the command automatically provided in the UI to install the Worker. The command is automatically populated with the environment variables you entered earlier. -1. Navigate back to the Observability Pipelines installation page and click **Deploy**. - -{{% /tab %}} -{{% tab "CloudFormation" %}} - -TKTK -{{% /tab %}} -{{% tab "Terraform (AWS)" %}} - -TKTK - -{{% /tab %}} -{{< /tabs >}} - -## Connect Splunk HEC to the Observability Pipelines Worker - -TKTK - -[1]: /obs_pipelines/dual_ship_logs_for_splunk_tcp -[2]: https://docs.splunk.com/Documentation/Splunk/latest/Data/UsetheHTTPEventCollector \ No newline at end of file From ca4ff5a56cafdd228bbcb1710d09986f6ab43dd5 Mon Sep 17 00:00:00 2001 From: May Lee Date: Thu, 4 Apr 2024 16:03:00 -0400 Subject: [PATCH 42/88] add archive log shortcodes --- .../archive_logs/splunk_hec.md | 143 ++---------------- .../configure_log_archive.md | 1 - .../configure_log_archive/amazon_eks.md | 5 + .../connect_s3_to_datadog_log_archives | 19 +++ .../configure_log_archive/docker.md | 19 +++ .../configure_log_archive/instructions.md | 44 ++++++ .../configure_log_archive/linux_apt.md | 18 +++ .../configure_log_archive/linux_rpm.md | 18 +++ 8 files changed, 132 insertions(+), 135 deletions(-) delete mode 100644 layouts/shortcodes/observability_pipelines/configure_log_archive.md create mode 100644 layouts/shortcodes/observability_pipelines/configure_log_archive/amazon_eks.md create mode 100644 layouts/shortcodes/observability_pipelines/configure_log_archive/connect_s3_to_datadog_log_archives create mode 100644 layouts/shortcodes/observability_pipelines/configure_log_archive/docker.md create mode 100644 layouts/shortcodes/observability_pipelines/configure_log_archive/instructions.md create mode 100644 layouts/shortcodes/observability_pipelines/configure_log_archive/linux_apt.md create mode 100644 layouts/shortcodes/observability_pipelines/configure_log_archive/linux_rpm.md diff --git a/content/en/observability_pipelines/archive_logs/splunk_hec.md b/content/en/observability_pipelines/archive_logs/splunk_hec.md index 59f8dd2fe72bd..ccad4cb31c06e 100644 --- a/content/en/observability_pipelines/archive_logs/splunk_hec.md +++ b/content/en/observability_pipelines/archive_logs/splunk_hec.md @@ -19,154 +19,33 @@ This document walks through the following steps: {{% observability_pipelines/prerequisites/splunk_hec %}} -## Configure a Log Archive - -### Create an Amazon S3 bucket - -{{< site-region region="us,us3,us5" >}} -See [AWS Pricing][1] for inter-region data transfer fees and how cloud storage costs may be impacted. - -[1]: https://aws.amazon.com/s3/pricing/ -{{< /site-region >}} - -1. Navigate to [Amazon S3 buckets][2]. -1. Click **Create bucket**. -1. Enter a descriptive name for your bucket. -1. Do not make your bucket publicly readable. -1. Optionally, add tags. -1. Click **Create bucket**. - -### Set up an IAM policy that allows Workers to write to the S3 bucket - -1. Navigate to the [IAM console][3]. -1. Select **Policies** in the left side menu. -1. Click **Create policy**. -1. Click **JSON** in the **Specify permissions** section. -1. Copy the below policy and paste it into the **Policy editor**. Replace `` and `` with the information for the S3 bucket you created earlier. -{{< code-block lang="json">}} -{ - "Version": "2012-10-17", - "Statement": [ - { - "Sid": "DatadogUploadAndRehydrateLogArchives", - "Effect": "Allow", - "Action": ["s3:PutObject", "s3:GetObject"], - "Resource": "arn:aws:s3:::/*" - }, - { - "Sid": "DatadogRehydrateLogArchivesListBucket", - "Effect": "Allow", - "Action": "s3:ListBucket", - "Resource": "arn:aws:s3:::" - } - ] -} -{{< /code-block >}} -1. Click **Next**. -1. Enter a descriptive policy name. -1. Optionally, add tags. -1. Click **Create policy**. +{{% observability_pipelines/configure_log_archive/instructions %}} {{< tabs >}} {{% tab "Docker" %}} -### Create an IAM user +{{% observability_pipelines/configure_log_archive/docker %}} -Create an IAM user and attach the IAM policy you created earlier to it. -1. Navigate to the [IAM console][1]. -1. Select **Users** in the left side menu. -1. Click **Create user**. -1. Enter a user name. -1. Click **Next**. -1. Select **Attach policies directly**. -1. Choose the IAM policy you created earlier to attach to the new IAM user. -1. Click **Next**. -1. Optionally, add tags. -1. Click **Create user**. - -Create access credentials for the new IAM user. Save these credentials as `AWS_ACCESS_KEY` and `AWS_SECRET_ACCESS_KEY`. - - -[1]: https://console.aws.amazon.com/iam/ {{% /tab %}} -{{% tab "AWS EKS" %}} - -### Create a service account - -[Create a service account][1] to use the policy you created above. In the Helm configuration, replace `${DD_ARCHIVES_SERVICE_ACCOUNT}` with the name of the service account. - - -[1]: https://docs.aws.amazon.com/eks/latest/userguide/associate-service-account-role.html -{{% /tab %}} -{{% tab "APT-based Linux" %}} - -### Create an IAM user - -Create an IAM user and attach the IAM policy you created earlier to it. - -1. Navigate to the [IAM console][1]. -1. Select **Users** in the left side menu. -1. Click **Create user**. -1. Enter a user name. -1. Click **Next**. -1. Select **Attach policies directly**. -1. Choose the IAM policy you created earlier to attach to the new IAM user. -1. Click **Next**. -1. Optionally, add tags. -1. Click **Create user**. - -Create access credentials for the new IAM user. Save these credentials as `AWS_ACCESS_KEY` and `AWS_SECRET_ACCESS_KEY`. +{{% tab "Amazon EKS" %}} +{{% observability_pipelines/configure_log_archive/amazon_eks %}} -[1]: https://console.aws.amazon.com/iam/ {{% /tab %}} -{{% tab "RPM-based Linux" %}} - -### Create an IAM user - -Create an IAM user and attach the IAM policy you created earlier to it. - -1. Navigate to the [IAM console][1]. -1. Select **Users** in the left side menu. -1. Click **Create user**. -1. Enter a user name. -1. Click **Next**. -1. Select **Attach policies directly**. -1. Choose the IAM policy you created earlier to attach to the new IAM user. -1. Click **Next**. -1. Optionally, add tags. -1. Click **Create user**. - -Create access credentials for the new IAM user. Save these credentials as `AWS_ACCESS_KEY` and `AWS_SECRET_ACCESS_KEY`. +{{% tab "Linux (APT)" %}} +{{% observability_pipelines/configure_log_archive/linux_apt %}} -[1]: https://console.aws.amazon.com/iam/ {{% /tab %}} -{{% tab "Terraform (AWS)" %}} - -### Attach the policy to the IAM instance profile +{{% tab "Linux (RPM)" %}} -Attach the policy to the IAM Instance Profile that is created with Terraform, which you can find under the `iam-role-name` output. +{{% observability_pipelines/configure_log_archive/linux_rpm %}} {{% /tab %}} {{< /tabs >}} -### Connect the S3 bucket to Datadog Log Archives - -1. Navigate to Datadog [Log Forwarding][4]. -1. Click **Add a new archive**. -1. Enter a descriptive archive name. -1. Add a query that filters out all logs going through log pipelines so that none of those logs go into this archive. For example, add the query `observability_pipelines_read_only_archive`, assuming no logs going through the pipeline have that tag added. -1. Select **AWS S3**. -1. Select the AWS Account that your bucket is in. -1. Enter the name of the S3 bucket. -1. Optionally, enter a path. -1. Check the confirmation statement. -1. Optionally, add tags and define the maximum scan size for rehydration. See [Advanced settings][4] for more information. -1. Click **Save**. - -See the [Log Archives documentation][5] for additional information. +{{% observability_pipelines/configure_log_archive/connect_s3_to_datadog_log_archives %}} ## Set up Observability Pipelines @@ -303,8 +182,4 @@ Enter the information for the processors you want to use. Click the **Add** butt {{% observability_pipelines/log_source_configuration/splunk_hec %}} [1]: /archive_logs/splunk_tcp/ -[2]: https://s3.console.aws.amazon.com/s3/home -[3]: https://console.aws.amazon.com/iam/ -[4]: https://app.datadoghq.com/logs/pipelines/log-forwarding -[5]: /logs/log_configuration/archives [6]: https://app.datadoghq.com/observability-pipelines diff --git a/layouts/shortcodes/observability_pipelines/configure_log_archive.md b/layouts/shortcodes/observability_pipelines/configure_log_archive.md deleted file mode 100644 index 7221b4d732336..0000000000000 --- a/layouts/shortcodes/observability_pipelines/configure_log_archive.md +++ /dev/null @@ -1 +0,0 @@ -REUSE INSTRUCTIONS \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/configure_log_archive/amazon_eks.md b/layouts/shortcodes/observability_pipelines/configure_log_archive/amazon_eks.md new file mode 100644 index 0000000000000..7d3516dc60bc3 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/configure_log_archive/amazon_eks.md @@ -0,0 +1,5 @@ +### Create a service account + +[Create a service account][1001] to use the policy you created above. + +[1001]: https://docs.aws.amazon.com/eks/latest/userguide/associate-service-account-role.html \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/configure_log_archive/connect_s3_to_datadog_log_archives b/layouts/shortcodes/observability_pipelines/configure_log_archive/connect_s3_to_datadog_log_archives new file mode 100644 index 0000000000000..216c437879b3c --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/configure_log_archive/connect_s3_to_datadog_log_archives @@ -0,0 +1,19 @@ +### Connect the S3 bucket to Datadog Log Archives + +1. Navigate to Datadog [Log Forwarding][1001]. +1. Click **Add a new archive**. +1. Enter a descriptive archive name. +1. Add a query that filters out all logs going through log pipelines so that none of those logs go into this archive. For example, add the query `observability_pipelines_read_only_archive`, assuming no logs going through the pipeline have that tag added. +1. Select **AWS S3**. +1. Select the AWS Account that your bucket is in. +1. Enter the name of the S3 bucket. +1. Optionally, enter a path. +1. Check the confirmation statement. +1. Optionally, add tags and define the maximum scan size for rehydration. See [Advanced settings][1002] for more information. +1. Click **Save**. + +See the [Log Archives documentation][1003] for additional information. + +[1001]: https://app.datadoghq.com/logs/pipelines/log-forwarding +[1002]: /logs/log_configuration/archives/?tab=awss3#advanced-settings +[1003]: /logs/log_configuration/archives \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/configure_log_archive/docker.md b/layouts/shortcodes/observability_pipelines/configure_log_archive/docker.md new file mode 100644 index 0000000000000..ecb1c3f893f47 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/configure_log_archive/docker.md @@ -0,0 +1,19 @@ +### Create an IAM user + +Create an IAM user and attach the IAM policy you created earlier to it. + +1. Navigate to the [IAM console][1001]. +1. Select **Users** in the left side menu. +1. Click **Create user**. +1. Enter a user name. +1. Click **Next**. +1. Select **Attach policies directly**. +1. Choose the IAM policy you created earlier to attach to the new IAM user. +1. Click **Next**. +1. Optionally, add tags. +1. Click **Create user**. + +Create access credentials for the new IAM user. The AWS access key and AWS secret access key are added later as environment variables when you install the Observability Pipelines Worker. + + +[1001]: https://console.aws.amazon.com/iam/ \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/configure_log_archive/instructions.md b/layouts/shortcodes/observability_pipelines/configure_log_archive/instructions.md new file mode 100644 index 0000000000000..5bd0129cb8b2f --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/configure_log_archive/instructions.md @@ -0,0 +1,44 @@ +## Configure a Log Archive + +### Create an Amazon S3 bucket + +1. Navigate to [Amazon S3 buckets][1001]. +1. Click **Create bucket**. +1. Enter a descriptive name for your bucket. +1. Do not make your bucket publicly readable. +1. Optionally, add tags. +1. Click **Create bucket**. + +### Set up an IAM policy that allows Workers to write to the S3 bucket + +1. Navigate to the [IAM console][1002]. +1. Select **Policies** in the left side menu. +1. Click **Create policy**. +1. Click **JSON** in the **Specify permissions** section. +1. Copy the below policy and paste it into the **Policy editor**. Replace `` and `` with the information for the S3 bucket you created earlier. +```json +{ + "Version": "2012-10-17", + "Statement": [ + { + "Sid": "DatadogUploadAndRehydrateLogArchives", + "Effect": "Allow", + "Action": ["s3:PutObject", "s3:GetObject"], + "Resource": "arn:aws:s3:::/*" + }, + { + "Sid": "DatadogRehydrateLogArchivesListBucket", + "Effect": "Allow", + "Action": "s3:ListBucket", + "Resource": "arn:aws:s3:::" + } + ] +} +``` +1. Click **Next**. +1. Enter a descriptive policy name. +1. Optionally, add tags. +1. Click **Create policy**. + +[1001]: https://s3.console.aws.amazon.com/s3/home +[1002]: https://console.aws.amazon.com/iam/ \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/configure_log_archive/linux_apt.md b/layouts/shortcodes/observability_pipelines/configure_log_archive/linux_apt.md new file mode 100644 index 0000000000000..a0c91b74e579e --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/configure_log_archive/linux_apt.md @@ -0,0 +1,18 @@ +### Create an IAM user + +Create an IAM user and attach the IAM policy you created earlier to it. + +1. Navigate to the [IAM console][1001]. +1. Select **Users** in the left side menu. +1. Click **Create user**. +1. Enter a user name. +1. Click **Next**. +1. Select **Attach policies directly**. +1. Choose the IAM policy you created earlier to attach to the new IAM user. +1. Click **Next**. +1. Optionally, add tags. +1. Click **Create user**. + +Create access credentials for the new IAM user. The AWS access key and AWS secret access key are added later as environment variables when you install the Observability Pipelines Worker. + +[1001]: https://console.aws.amazon.com/iam/ \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/configure_log_archive/linux_rpm.md b/layouts/shortcodes/observability_pipelines/configure_log_archive/linux_rpm.md new file mode 100644 index 0000000000000..a0c91b74e579e --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/configure_log_archive/linux_rpm.md @@ -0,0 +1,18 @@ +### Create an IAM user + +Create an IAM user and attach the IAM policy you created earlier to it. + +1. Navigate to the [IAM console][1001]. +1. Select **Users** in the left side menu. +1. Click **Create user**. +1. Enter a user name. +1. Click **Next**. +1. Select **Attach policies directly**. +1. Choose the IAM policy you created earlier to attach to the new IAM user. +1. Click **Next**. +1. Optionally, add tags. +1. Click **Create user**. + +Create access credentials for the new IAM user. The AWS access key and AWS secret access key are added later as environment variables when you install the Observability Pipelines Worker. + +[1001]: https://console.aws.amazon.com/iam/ \ No newline at end of file From 2593f14839c84b2d2791c8cf96d3a0620cde23fc Mon Sep 17 00:00:00 2001 From: May Lee Date: Thu, 4 Apr 2024 16:19:04 -0400 Subject: [PATCH 43/88] add sds and datadog archives --- .../archive_logs/splunk_hec.md | 6 +++++- .../sensitive_data_redaction/splunk_hec.md | 5 +++++ ...dog_log_archives.md => datadog_archives.md} | 0 ...dog_log_archives.md => datadog_archives.md} | 2 +- .../log_source_configuration/datadog.md | 2 +- .../log_source_configuration/splunk_hec.md | 2 +- .../log_source_configuration/splunk_tcp.md | 3 ++- .../processors/sensitive_data_scanner.md | 18 +++++++++++++++++- 8 files changed, 32 insertions(+), 6 deletions(-) rename layouts/shortcodes/observability_pipelines/destination_env_vars/{datadog_log_archives.md => datadog_archives.md} (100%) rename layouts/shortcodes/observability_pipelines/destination_settings/{datadog_log_archives.md => datadog_archives.md} (91%) diff --git a/content/en/observability_pipelines/archive_logs/splunk_hec.md b/content/en/observability_pipelines/archive_logs/splunk_hec.md index ccad4cb31c06e..26ca12421cce2 100644 --- a/content/en/observability_pipelines/archive_logs/splunk_hec.md +++ b/content/en/observability_pipelines/archive_logs/splunk_hec.md @@ -8,7 +8,6 @@ disable_toc: false Configure your Splunk HTTP Event Collector (HEC) so that the Observability Pipelines Worker formats the logs collected into a Datadog-rehydratable format before routing them to Datadog Log Archives. See [Archive Logs from Splunk Heavy and Universal Forwarders][1] if you want to archives logs from your Splunk Heavy or Splunk Universal Forwarders. - This document walks through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Configuring a Log Archive](#configure-a-log-archive) @@ -76,6 +75,11 @@ Enter the following information based on your selected logs destinations. {{% observability_pipelines/destination_settings/sumo_logic %}} +{{% /tab %}} +{{% tab "Datadog Archives" %}} + +{{% observability_pipelines/destination_settings/datadog_archives %}} + {{% /tab %}} {{< /tabs >}} diff --git a/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md b/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md index c6cb771b9d477..9267e64c52416 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md @@ -84,6 +84,11 @@ Enter the information for the processors you want to use. Click the **Add** butt {{% observability_pipelines/processors/remap %}} +{{% /tab %}} +{{% tab "Sensitive Data Scanner" %}} + +{{% observability_pipelines/processors/sensitive_data_scanner %}} + {{% /tab %}} {{< /tabs >}} diff --git a/layouts/shortcodes/observability_pipelines/destination_env_vars/datadog_log_archives.md b/layouts/shortcodes/observability_pipelines/destination_env_vars/datadog_archives.md similarity index 100% rename from layouts/shortcodes/observability_pipelines/destination_env_vars/datadog_log_archives.md rename to layouts/shortcodes/observability_pipelines/destination_env_vars/datadog_archives.md diff --git a/layouts/shortcodes/observability_pipelines/destination_settings/datadog_log_archives.md b/layouts/shortcodes/observability_pipelines/destination_settings/datadog_archives.md similarity index 91% rename from layouts/shortcodes/observability_pipelines/destination_settings/datadog_log_archives.md rename to layouts/shortcodes/observability_pipelines/destination_settings/datadog_archives.md index 1e422f004a00e..40704c5fabff5 100644 --- a/layouts/shortcodes/observability_pipelines/destination_settings/datadog_log_archives.md +++ b/layouts/shortcodes/observability_pipelines/destination_settings/datadog_archives.md @@ -6,4 +6,4 @@ 1. Enter the key prefix. Prefixes are useful for partitioning objects, such as by creating an object key that stores objects under a particular directory. If using a prefix for this purpose, it must end in / to act as a directory path. A trailing / is not automatically added. 1. Select the storage class for your S3 bucket in the **Storage Class** dropdown menu. -Your AWS Access key ID and AWS secret access key is set [as environment variables][link to Datadog Archives destination env vars] when you install the Worker. +Your AWS Access key ID and AWS secret access key is set as environment variables when you install the Worker later. diff --git a/layouts/shortcodes/observability_pipelines/log_source_configuration/datadog.md b/layouts/shortcodes/observability_pipelines/log_source_configuration/datadog.md index ffe04969b429d..4b2e403cab82c 100644 --- a/layouts/shortcodes/observability_pipelines/log_source_configuration/datadog.md +++ b/layouts/shortcodes/observability_pipelines/log_source_configuration/datadog.md @@ -8,6 +8,6 @@ observability_pipelines_worker: url: "http://:8282" ``` -`` is the IP/URL of the host (or load balancer) associated with the Observability Pipelines Worker. For CloudFormation installs, the `LoadBalancerDNS` CloudFormation output has the correct URL to use. For Kubernetes installs, the internal DNS record of the Observability Pipelines Worker service can be used, eg. `opw-observability-pipelines-worker.default.svc.cluster.local`. +`` is the IP/URL of the host (or load balancer) associated with the Observability Pipelines Worker. For CloudFormation installs, the `LoadBalancerDNS` CloudFormation output has the correct URL to use. For Kubernetes installs, the internal DNS record of the Observability Pipelines Worker service can be used. For example: `opw-observability-pipelines-worker.default.svc.cluster.local`. At this point, your observability data should be going to the Worker, processed by the pipeline and delivered to the DataDog Logs. diff --git a/layouts/shortcodes/observability_pipelines/log_source_configuration/splunk_hec.md b/layouts/shortcodes/observability_pipelines/log_source_configuration/splunk_hec.md index 778a5bb594e3f..80845e231cc65 100644 --- a/layouts/shortcodes/observability_pipelines/log_source_configuration/splunk_hec.md +++ b/layouts/shortcodes/observability_pipelines/log_source_configuration/splunk_hec.md @@ -14,7 +14,7 @@ curl http://:8088/services/collector/event \ `` is the IP/URL of the host (or load balancer) associated with the Observability Pipelines Worker. For CloudFormation installs, the `LoadBalancerDNS` CloudFormation output has the correct URL to use. For Kubernetes installs, the internal DNS record of the Observability Pipelines Worker service can be used, for example `opw-observability-pipelines-worker.default.svc.cluster.local`. -`` is the HEC token you provided during the [Install your OP Worker](link to [Draft] OP 2.0 Doc instructions) step. +`` is the HEC token you provided during the [Install your Observability Pipelines Worker](#install-the-observability-pipelines-worker) step. At this point, your logs should be going to the Worker, processed by the pipeline, and delivered to the Splunk index. diff --git a/layouts/shortcodes/observability_pipelines/log_source_configuration/splunk_tcp.md b/layouts/shortcodes/observability_pipelines/log_source_configuration/splunk_tcp.md index ad400fbf72cf1..5a4dc0f31cc87 100644 --- a/layouts/shortcodes/observability_pipelines/log_source_configuration/splunk_tcp.md +++ b/layouts/shortcodes/observability_pipelines/log_source_configuration/splunk_tcp.md @@ -10,7 +10,8 @@ defaultGroup=opw [tcpout:opw] server=:8099 -Note: `` is the IP/URL of the host (or load balancer) associated with the Observability Pipelines Worker. For CloudFormation installs, the `LoadBalancerDNS` CloudFormation output has the correct URL to use. For Kubernetes installs, the internal DNS record of the Observability Pipelines Worker service can be used, eg. `opw-observability-pipelines-worker.default.svc.cluster.local`. ``` +`` is the IP/URL of the host (or load balancer) associated with the Observability Pipelines Worker. For CloudFormation installs, the `LoadBalancerDNS` CloudFormation output has the correct URL to use. For Kubernetes installs, the internal DNS record of the Observability Pipelines Worker service can be used. For example: `opw-observability-pipelines-worker.default.svc.cluster.local`. + At this point, your logs should be going to the Worker, processed by the pipeline, and delivered to the Splunk index. \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/processors/sensitive_data_scanner.md b/layouts/shortcodes/observability_pipelines/processors/sensitive_data_scanner.md index 7221b4d732336..264f7cf78d4d5 100644 --- a/layouts/shortcodes/observability_pipelines/processors/sensitive_data_scanner.md +++ b/layouts/shortcodes/observability_pipelines/processors/sensitive_data_scanner.md @@ -1 +1,17 @@ -REUSE INSTRUCTIONS \ No newline at end of file +The Sensitive Data Scanner processor scans logs to detect and redact or hash sensitive information such as PII, PCI, and custom sensitive data. You can pick from our library of predefined rules, or input custom Regex rules to scan for sensitive data. + +To set up the sensitive data scanner processor: +1. Define a **filter query**. Only logs that match the specified [filter query][link to filter query syntax] is scanned and processed. +1. Click **Add Scanning Rule** +1. Name your scanning rule +1. In the **Select scanning rule type** field, select whether you want to create a rule from the library or create a custom rule. + - If you are creating a rule from the library, select the library pattern you want to use. + - If you are creating a custom rule, enter the regex pattern to check against the data. +1. In the **Scan entire or part of event** section, select if you want to scan the **Entire Event**, **Specific Attributes**, or **Exclude Attributes** in the dropdown menu. + - If you selected **Specific Attributes**, click **Add Field** and enter the specific attributes you want to scan. You can add up to three fields. Use path notation (`outer_key.inner_key`) to access nested keys. For specified attributes with nested data, all nested data is scanned. + - If you selected **Exclude Attributes**, click **Add Field** and enter the specific attributes you want to exclude from scanning. You can add up to three fields. Use path notation (`outer_key.inner_key`) to access nested keys. For specified attributes with nested data, all nested data is excluded. +1. In the **Define action on match** section, select the action you want to take for the matched information. Redaction, partial redaction, and hashing are all irreversible actions. + - If you are redacting the information, specify the text to replace the matched data. + - If you are partially redacting the information, specify the number of characters you want to redact and whether to apply the partial redaction to the start or the end of your matched data. + - **Note**: If you select hashing, the UTF-8 bytes of the match are hashed with the 64-bit fingerprint of farmhash. +1. Optionally, add tags to all events that match the regex, so that you can filter, analyze, and alert on the events. \ No newline at end of file From 990351c101f5d70f1a41efa5e4af4bab846d77bc Mon Sep 17 00:00:00 2001 From: May Lee Date: Thu, 4 Apr 2024 17:20:30 -0400 Subject: [PATCH 44/88] update prereqs --- .../dual_ship_logs/splunk_hec.md | 5 +++++ .../split_logs/splunk_hec.md | 16 ++++++++++++++++ .../prerequisites/datadog_agent.md | 2 +- 3 files changed, 22 insertions(+), 1 deletion(-) diff --git a/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md b/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md index 27fb3462cbe8e..9652fdf1a2b6c 100644 --- a/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md +++ b/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md @@ -18,8 +18,13 @@ This document walks you through the following steps to set up dual shipping: ## Prerequisites +### Splunk HEC {{% observability_pipelines/prerequisites/splunk_hec %}} +### Datadog Agent + +{{% observability_pipelines/prerequisites/datadog_agent %}} + ## Set up Observability Pipelines 1. Navigate to [Observability Pipelines][1]. diff --git a/content/en/observability_pipelines/split_logs/splunk_hec.md b/content/en/observability_pipelines/split_logs/splunk_hec.md index 4280acb9c53fe..0ee24616abfe1 100644 --- a/content/en/observability_pipelines/split_logs/splunk_hec.md +++ b/content/en/observability_pipelines/split_logs/splunk_hec.md @@ -15,8 +15,24 @@ This document walks you through the following setup steps: ## Prerequisites +{{< tabs >}} +{{% tab "Splunk HEC" %}} + {{% observability_pipelines/prerequisites/splunk_hec %}} +{{% /tab %}} + +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/prerequisites/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} + +### Datadog Agent + +{{% observability_pipelines/prerequisites/datadog_agent %}} + ## Set up Observability Pipelines 1. Navigate to [Observability Pipelines][2]. diff --git a/layouts/shortcodes/observability_pipelines/prerequisites/datadog_agent.md b/layouts/shortcodes/observability_pipelines/prerequisites/datadog_agent.md index 65a616b043c07..cca820e842abf 100644 --- a/layouts/shortcodes/observability_pipelines/prerequisites/datadog_agent.md +++ b/layouts/shortcodes/observability_pipelines/prerequisites/datadog_agent.md @@ -3,7 +3,7 @@ You already have the Datadog Agent installed to collect and route your logs to [ You have the following information available: - The Datadog Agent address, including the port, that your Observability Pipelines Worker will listen on for logs. - A Datadog API key with [Remote Configuration enabled][103]. -- Your Datadog `Site URL`[104]. For example `datadoghq.com` for the site `US1`. +- Your Datadog [`Site URL`][104]. For example `datadoghq.com` for the site `US1`. [101]: /logs/ [102]: /agent/ From fbe7292fa14d0135c50ad038ccd2bb8ee3fcc954 Mon Sep 17 00:00:00 2001 From: May Lee Date: Thu, 4 Apr 2024 17:42:39 -0400 Subject: [PATCH 45/88] update shortcodes --- .../observability_pipelines/split_logs/splunk_hec.md | 12 +----------- .../destination_env_vars/splunk_hec.md | 4 +++- .../destination_settings/splunk_hec.md | 2 +- .../observability_pipelines/processors/dedupe.md | 2 +- .../observability_pipelines/processors/filter.md | 2 +- .../observability_pipelines/processors/quota.md | 4 +++- .../observability_pipelines/processors/remap.md | 8 ++++---- .../source_settings/splunk_hec.md | 2 -- .../source_settings/splunk_tcp.md | 4 +--- .../source_settings/sumo_logic.md | 4 +--- 10 files changed, 16 insertions(+), 28 deletions(-) diff --git a/content/en/observability_pipelines/split_logs/splunk_hec.md b/content/en/observability_pipelines/split_logs/splunk_hec.md index 0ee24616abfe1..6017059f399b6 100644 --- a/content/en/observability_pipelines/split_logs/splunk_hec.md +++ b/content/en/observability_pipelines/split_logs/splunk_hec.md @@ -15,20 +15,10 @@ This document walks you through the following setup steps: ## Prerequisites -{{< tabs >}} -{{% tab "Splunk HEC" %}} +### Splunk HEC {{% observability_pipelines/prerequisites/splunk_hec %}} -{{% /tab %}} - -{{% tab "Sumo Logic" %}} - -{{% observability_pipelines/prerequisites/sumo_logic %}} - -{{% /tab %}} -{{< /tabs >}} - ### Datadog Agent {{% observability_pipelines/prerequisites/datadog_agent %}} diff --git a/layouts/shortcodes/observability_pipelines/destination_env_vars/splunk_hec.md b/layouts/shortcodes/observability_pipelines/destination_env_vars/splunk_hec.md index fd268b9612793..964414d1dcd23 100644 --- a/layouts/shortcodes/observability_pipelines/destination_env_vars/splunk_hec.md +++ b/layouts/shortcodes/observability_pipelines/destination_env_vars/splunk_hec.md @@ -1,3 +1,5 @@ -Enter your `Splunk HEC token` and the`Base URL of the Splunk instance` as described in the [prerequisites](#prerequisites). **Note**: Depending on the encoding selected, either `/services/collector/event` or `/services/collector/raw`) is automatically appended to your endpoint. +Enter your `Splunk HEC token` and the`Base URL of the Splunk instance` as described in the [prerequisites](#prerequisites). + +**Note**: Depending on the encoding selected, either `/services/collector/event` or `/services/collector/raw`) is automatically appended to your endpoint. The Worker passes the HEC token along to the Splunk collection endpoint. After the Observability Pipelines Worker processes the logs, it sends the logs to the Splunk instance URL specified. diff --git a/layouts/shortcodes/observability_pipelines/destination_settings/splunk_hec.md b/layouts/shortcodes/observability_pipelines/destination_settings/splunk_hec.md index e819c0919da86..f03a29108b599 100644 --- a/layouts/shortcodes/observability_pipelines/destination_settings/splunk_hec.md +++ b/layouts/shortcodes/observability_pipelines/destination_settings/splunk_hec.md @@ -1,4 +1,4 @@ -Enter the name of the Splunk index you want your data. This has to be an allowed index for your HEC. +Enter the name of the Splunk index you want your data in. This has to be an allowed index for your HEC. The following fields are optional: 1. In the **Encoding** dropdown menu, select whether you want to encode your pipeline's output in `JSON` or `Raw` text encodings. If no decoding is selected, the decoding defaults to JSON. diff --git a/layouts/shortcodes/observability_pipelines/processors/dedupe.md b/layouts/shortcodes/observability_pipelines/processors/dedupe.md index 985e2bcd08ab1..1de4fe93e6490 100644 --- a/layouts/shortcodes/observability_pipelines/processors/dedupe.md +++ b/layouts/shortcodes/observability_pipelines/processors/dedupe.md @@ -6,4 +6,4 @@ To set up the deduplicate processor: - If `Match` is selected, then after a log passes through, future logs that have the same values for all of the fields you specify below is removed. - If `Ignore` is selected, then after a log passes through, future logs that have the same values for all of their fields, *except* the ones you specify below is removed. 1. Enter the fields you want to match on, or ignore. Click **Add field** if you have additional fields you want to filter on. At least one field is required, and you can specify a maximum of three fields. -- Sub-fields can be matched using dot notation as `outer_field.inner_field`. +- Use the path notation `outer_field.inner_field` to match sub-fields. diff --git a/layouts/shortcodes/observability_pipelines/processors/filter.md b/layouts/shortcodes/observability_pipelines/processors/filter.md index edaf716ffa265..30925edf6a191 100644 --- a/layouts/shortcodes/observability_pipelines/processors/filter.md +++ b/layouts/shortcodes/observability_pipelines/processors/filter.md @@ -1,4 +1,4 @@ This processor filters for logs that match the specified filter query and drops all non-matching logs. If a log is dropped at this processor, then none of the processors below this one receives that log. This processor can filter out unnecessary logs, such as debug or warning logs. To set up the filter processor: -Define a **filter query**. The [query](#filter-query-syntax) you specify, filters for and passes on only logs that match it and drops all other logs. \ No newline at end of file +- Define a **filter query**. The [query](#filter-query-syntax) you specify, filters for and passes on only logs that match it and drops all other logs. \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/processors/quota.md b/layouts/shortcodes/observability_pipelines/processors/quota.md index 339f7f9e75099..364fb0fdad049 100644 --- a/layouts/shortcodes/observability_pipelines/processors/quota.md +++ b/layouts/shortcodes/observability_pipelines/processors/quota.md @@ -6,4 +6,6 @@ To set up the quota processor: 1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) is counted towards the daily limit. 1. In the **Unit for quota** dropdown menu, select if you want to measure the quota by the number of `Events` or by the `Volume` in bytes. 1. Set the daily quota limit and select the unit of magnitude for your desired quota. -1. Set the **Drop events** dropdown to **True** if you want to drop all events when your quota is met. Leave it at **False** if you plan to set up [a monitor][Datadog monitors link] that sends an alert when the quota is met. \ No newline at end of file +1. Set the **Drop events** dropdown to **True** if you want to drop all events when your quota is met. Leave it at **False** if you plan to set up a [metric monitor][201] that sends an alert when the quota is met. + +[201]: /monitors/types/metric/?tab=threshold \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/processors/remap.md b/layouts/shortcodes/observability_pipelines/processors/remap.md index ffeab03d8f9ec..a0ae5160f018d 100644 --- a/layouts/shortcodes/observability_pipelines/processors/remap.md +++ b/layouts/shortcodes/observability_pipelines/processors/remap.md @@ -5,7 +5,7 @@ Use **add field** to append a new key-value field to your log. To set up add field processor: 1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) is processed. -1. Enter the key and value you want to add. To specify a nested field for your key, use path notation: `outer_field.inner_field`. All values are stored as strings. +1. Enter the key and value you want to add. To specify a nested field for your key, use the path notation: `outer_field.inner_field`. All values are stored as strings. **Note**: If the key you specify already exists, then that key's original value is overwritten. ##### Drop field @@ -14,7 +14,7 @@ Use **drop field** to drop a field from logging data that matches the filter you To set up the drop field processor: 1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) is processed. -1. Enter the key of the field you want to drop. To specify a nested field for your specified key, use path notation: `outer_field.inner_field`. +1. Enter the key of the field you want to drop. To specify a nested field for your specified key, use the path notation: `outer_field.inner_field`. **Note**: If your specified key does not exist, then your log will be unimpacted. ##### Rename field @@ -23,8 +23,8 @@ Use **rename field** to rename a field within your log. To set up the rename field processor: 1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) is processed. -1. Enter the name of the field you want to rename in the **Source key** field. To specify a nested field for your key, use path notation: `outer_field.inner_field`. Once renamed, your original field is deleted unless you enable the **Preserve source tag** checkbox described below. +1. Enter the name of the field you want to rename in the **Source key** field. To specify a nested field for your key, use the path notation: `outer_field.inner_field`. Once renamed, your original field is deleted unless you enable the **Preserve source tag** checkbox described below. **Note**: If the source key you specify doesn't exist, then your target has a default null value applied to it. -1. In the **Target key** field, enter the name you want the source field to be renamed to. To specify a nested field for your specified key, use path notation: `outer_field.inner_field`. +1. In the **Target key** field, enter the name you want the source field to be renamed to. To specify a nested field for your specified key, use the path notation: `outer_field.inner_field`. **Note**: If the target key you specify already exists, then that key's original value is overwritten. 1. Optionally, check the **Preserve source tag** box if you want to retain the original source field and duplicate the information from your source key to your specified target key. If this box is not checked, the source key is dropped after it is renamed. diff --git a/layouts/shortcodes/observability_pipelines/source_settings/splunk_hec.md b/layouts/shortcodes/observability_pipelines/source_settings/splunk_hec.md index 4cccae9ef31a2..f586e2876c990 100644 --- a/layouts/shortcodes/observability_pipelines/source_settings/splunk_hec.md +++ b/layouts/shortcodes/observability_pipelines/source_settings/splunk_hec.md @@ -2,5 +2,3 @@ Optionally, check the box to enable TLS. If you enable TLS, the following certif - `Server Certificate Path`: The path to the certificate file that has been signed by your Certificate Authority (CA) Root File in either DER, PEM (X.509). - `CA Certificate Path`: The path to the certificate file that is your Certificate Authority (CA) Root File in either DER, PEM (X.509). - `Private Key Path`: The path to the `.key` private key file that belongs to your Server Certificate Path in either DER or PEM (PKCS#8) format. - -The address where the Worker expects Splunk HEC data is set as an [environment variable][link to Splunk HEC agent env vars section] in the installation step later. diff --git a/layouts/shortcodes/observability_pipelines/source_settings/splunk_tcp.md b/layouts/shortcodes/observability_pipelines/source_settings/splunk_tcp.md index 2bbf563595306..53ecd029c5832 100644 --- a/layouts/shortcodes/observability_pipelines/source_settings/splunk_tcp.md +++ b/layouts/shortcodes/observability_pipelines/source_settings/splunk_tcp.md @@ -1,6 +1,4 @@ Optionally, check the box to enable TLS. If you enable TLS, the following certificate and key files are required: - `Server Certificate Path`: The path to the certificate file that has been signed by - your Certificate Authority (CA) Root File in either DER, PEM (X.509). - `CA Certificate Path`: The path to the certificate file that is your Certificate Authority (CA) Root File in either DER, PEM (X.509). -- `Private Key Path`: The path to the `.key` private key file that belongs to your Server Certificate Path in either DER or PEM (PKCS#8) format. - -The address where the Worker expects Splunk TCP data input is set as an [environment variable][link to TCP env vars section] in the installation step later. \ No newline at end of file +- `Private Key Path`: The path to the `.key` private key file that belongs to your Server Certificate Path in either DER or PEM (PKCS#8) format. \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/source_settings/sumo_logic.md b/layouts/shortcodes/observability_pipelines/source_settings/sumo_logic.md index dfc8a4f035600..bb40d1bcda156 100644 --- a/layouts/shortcodes/observability_pipelines/source_settings/sumo_logic.md +++ b/layouts/shortcodes/observability_pipelines/source_settings/sumo_logic.md @@ -1,3 +1 @@ -Optionally, in the **Decoding** dropdown menu, select whether your input format is raw **Bytes**, **JSON**, Graylog Extended Log Format (**Gelf**), or **Syslog**. If no decoding is selected, the decoding defaults to JSON. - -The address where the Worker expects Sumo Logic data input is set as an [environment variable][link to Sumo Logic env vars section] in the installation step later. \ No newline at end of file +Optionally, in the **Decoding** dropdown menu, select whether your input format is raw **Bytes**, **JSON**, Graylog Extended Log Format (**Gelf**), or **Syslog**. If no decoding is selected, the decoding defaults to JSON. \ No newline at end of file From 29758d87a2bcf5194795d954e67f7d19f229c9e5 Mon Sep 17 00:00:00 2001 From: May Lee Date: Thu, 4 Apr 2024 17:52:18 -0400 Subject: [PATCH 46/88] add upgrade div and legacy warning shortcodes --- content/en/observability_pipelines/_index.md | 4 ++++ content/en/observability_pipelines/legacy/_index.md | 2 +- .../en/observability_pipelines/legacy/architecture/_index.md | 2 +- .../legacy/production_deployment_overview.md | 2 +- content/en/observability_pipelines/legacy/setup/_index.md | 2 +- content/en/observability_pipelines/legacy/setup/datadog.md | 2 +- .../legacy/setup/datadog_with_archiving.md | 2 +- content/en/observability_pipelines/legacy/setup/splunk.md | 2 +- layouts/shortcodes/observability_pipelines/legacy_warning.md | 1 + 9 files changed, 12 insertions(+), 7 deletions(-) create mode 100644 layouts/shortcodes/observability_pipelines/legacy_warning.md diff --git a/content/en/observability_pipelines/_index.md b/content/en/observability_pipelines/_index.md index cc2656bc0d3af..6e5359011f83b 100644 --- a/content/en/observability_pipelines/_index.md +++ b/content/en/observability_pipelines/_index.md @@ -4,6 +4,10 @@ kind: documentation disable_toc: false --- +
+Datadog recommends you update Observability Pipelines Worker (OPW) with every minor and patch release, or, at a minimum, monthly.

Upgrading to a major OPW version and keeping it updated is the only supported way to get the latest OPW functionality, fixes, and security updates. +
+ ## Overview Observability Pipelines allows you to collect, process, and route logs in your own infrastructure. It comes with out-of-the-box templates so that you can easily build and deploy pipelines. The templates are purpose-built for the following use cases: diff --git a/content/en/observability_pipelines/legacy/_index.md b/content/en/observability_pipelines/legacy/_index.md index 163ec4835e8a4..5156b093667d2 100644 --- a/content/en/observability_pipelines/legacy/_index.md +++ b/content/en/observability_pipelines/legacy/_index.md @@ -25,7 +25,7 @@ cascade:
Observability Pipelines is not available on the US1-FED Datadog site.
{{< /site-region >}} -
If you upgrade your Observability Pipelines Workers 1.8 or earlier to 2.0 or later, your existing pipelines will break. Do not upgrade your Workers if you want to continue using the legacy Observability Pipelines. If you want to use Worker 2.0 or later, you must migrate your Worker 1.8 or earlier pipelines to Worker 2.x.
+{{% observability_pipelines/legacy_warning %}} The following documents are for the Observability Pipelines Worker 1.8 and older. diff --git a/content/en/observability_pipelines/legacy/architecture/_index.md b/content/en/observability_pipelines/legacy/architecture/_index.md index a07090619ae5e..808bfb9eaf08f 100644 --- a/content/en/observability_pipelines/legacy/architecture/_index.md +++ b/content/en/observability_pipelines/legacy/architecture/_index.md @@ -10,7 +10,7 @@ aliases:
Observability Pipelines is not available on the US1-FED Datadog site.
{{< /site-region >}} -
If you upgrade your Observability Pipelines Workers 1.8 or earlier to 2.0 or later, your existing pipelines will break. Do not upgrade your Workers if you want to continue using the legacy Observability Pipelines. If you want to use Worker 2.0 or later, you must migrate your Worker 1.8 or earlier pipelines to Worker 2.x.
+{{% observability_pipelines/legacy_warning %}}
This guide is for large-scale production-level deployments. diff --git a/content/en/observability_pipelines/legacy/production_deployment_overview.md b/content/en/observability_pipelines/legacy/production_deployment_overview.md index 5e7ed3f834711..2eb52ca97cf07 100644 --- a/content/en/observability_pipelines/legacy/production_deployment_overview.md +++ b/content/en/observability_pipelines/legacy/production_deployment_overview.md @@ -9,7 +9,7 @@ aliases:
Observability Pipelines is not available on the US1-FED Datadog site.
{{< /site-region >}} -
If you upgrade your Observability Pipelines Workers 1.8 or earlier to 2.0 or later, your existing pipelines will break. Do not upgrade your Workers if you want to continue using the legacy Observability Pipelines. If you want to use Worker 2.0 or later, you must migrate your Worker 1.8 or earlier pipelines to Worker 2.x.
+{{% observability_pipelines/legacy_warning %}} ## Overview diff --git a/content/en/observability_pipelines/legacy/setup/_index.md b/content/en/observability_pipelines/legacy/setup/_index.md index 45f412c7ea731..5f1b3fa81a3ca 100644 --- a/content/en/observability_pipelines/legacy/setup/_index.md +++ b/content/en/observability_pipelines/legacy/setup/_index.md @@ -25,7 +25,7 @@ further_reading:
Observability Pipelines is not available on the US1-FED Datadog site.
{{< /site-region >}} -
If you upgrade your Observability Pipelines Workers 1.8 or earlier to 2.0 or later, your existing pipelines will break. Do not upgrade your Workers if you want to continue using the legacy Observability Pipelines. If you want to use Worker 2.0 or later, you must migrate your Worker 1.8 or earlier pipelines to Worker 2.x.
+{{% observability_pipelines/legacy_warning %}} ## Overview diff --git a/content/en/observability_pipelines/legacy/setup/datadog.md b/content/en/observability_pipelines/legacy/setup/datadog.md index 08f7106bfb923..cfe1b01d74836 100644 --- a/content/en/observability_pipelines/legacy/setup/datadog.md +++ b/content/en/observability_pipelines/legacy/setup/datadog.md @@ -21,7 +21,7 @@ further_reading:
Observability Pipelines is not available on the US1-FED Datadog site.
{{< /site-region >}} -
If you upgrade your Observability Pipelines Workers 1.8 or earlier to 2.0 or later, your existing pipelines will break. Do not upgrade your Workers if you want to continue using the legacy Observability Pipelines. If you want to use Worker 2.0 or later, you must migrate your Worker 1.8 or earlier pipelines to Worker 2.x.
+{{% observability_pipelines/legacy_warning %}} ## Overview diff --git a/content/en/observability_pipelines/legacy/setup/datadog_with_archiving.md b/content/en/observability_pipelines/legacy/setup/datadog_with_archiving.md index 39612510d0ee0..a5f6b1fda2cff 100644 --- a/content/en/observability_pipelines/legacy/setup/datadog_with_archiving.md +++ b/content/en/observability_pipelines/legacy/setup/datadog_with_archiving.md @@ -16,7 +16,7 @@ further_reading:
Observability Pipelines is not available on the US1-FED Datadog site.
{{< /site-region >}} -
If you upgrade your Observability Pipelines Workers 1.8 or earlier to 2.0 or later, your existing pipelines will break. Do not upgrade your Workers if you want to continue using the legacy Observability Pipelines. If you want to use Worker 2.0 or later, you must migrate your Worker 1.8 or earlier pipelines to Worker 2.x.
+{{% observability_pipelines/legacy_warning %}} ## Overview diff --git a/content/en/observability_pipelines/legacy/setup/splunk.md b/content/en/observability_pipelines/legacy/setup/splunk.md index 220afc9b1007c..6c481cf6da3df 100644 --- a/content/en/observability_pipelines/legacy/setup/splunk.md +++ b/content/en/observability_pipelines/legacy/setup/splunk.md @@ -21,7 +21,7 @@ further_reading:
Observability Pipelines is not available on the US1-FED Datadog site.
{{< /site-region >}} -
If you upgrade your Observability Pipelines Workers 1.8 or earlier to 2.0 or later, your existing pipelines will break. Do not upgrade your Workers if you want to continue using the legacy Observability Pipelines. If you want to use Worker 2.0 or later, you must migrate your Worker 1.8 or earlier pipelines to Worker 2.x.
+{{% observability_pipelines/legacy_warning %}}
Observability Pipelines only supports Splunk's HTTP Event Collector (HEC) protocol.
diff --git a/layouts/shortcodes/observability_pipelines/legacy_warning.md b/layouts/shortcodes/observability_pipelines/legacy_warning.md new file mode 100644 index 0000000000000..e42c6ca40daf4 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/legacy_warning.md @@ -0,0 +1 @@ +
If you upgrade your Observability Pipelines Workers 1.8 or earlier to 2.0 or later, your existing pipelines will break. Do not upgrade your Workers if you want to continue using the legacy Observability Pipelines. If you want to use Worker 2.0 or later, you must migrate your Worker 1.8 or earlier pipelines to Worker 2.x.

Datadog recommends you update to Observability Pipelines Worker (OPW) versions 2.0 or above. Upgrading to a major OPW version and keeping it updated is the only supported way to get the latest OPW functionality, fixes, and security updates.
From d4e82833296844507b620428965dc2495043a87b Mon Sep 17 00:00:00 2001 From: May Lee Date: Thu, 4 Apr 2024 18:10:46 -0400 Subject: [PATCH 47/88] add processors shortcode --- content/en/observability_pipelines/archive_logs/splunk_hec.md | 4 +--- .../en/observability_pipelines/dual_ship_logs/splunk_hec.md | 4 +--- .../observability_pipelines/log_volume_control/splunk_hec.md | 4 +--- .../sensitive_data_redaction/splunk_hec.md | 4 +--- content/en/observability_pipelines/split_logs/splunk_hec.md | 4 +--- .../observability_pipelines/processors/add_processors.md | 3 +++ 6 files changed, 8 insertions(+), 15 deletions(-) create mode 100644 layouts/shortcodes/observability_pipelines/processors/add_processors.md diff --git a/content/en/observability_pipelines/archive_logs/splunk_hec.md b/content/en/observability_pipelines/archive_logs/splunk_hec.md index 26ca12421cce2..f632d62f037c2 100644 --- a/content/en/observability_pipelines/archive_logs/splunk_hec.md +++ b/content/en/observability_pipelines/archive_logs/splunk_hec.md @@ -89,9 +89,7 @@ Enter the following information based on your selected logs destinations. {{% observability_pipelines/processors/filter_syntax %}} -#### Add processors - -Enter the information for the processors you want to use. Click the **Add** button to add additional processors. To delete a processor, click the kebab on the right side of the processor and select **Delete**. +{{% observability_pipelines/processors/add_processors %}} {{< tabs >}} {{% tab "Filter" %}} diff --git a/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md b/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md index 9652fdf1a2b6c..dcc63a6563a34 100644 --- a/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md +++ b/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md @@ -63,9 +63,7 @@ Enter the following information based on your selected logs destinations. {{% observability_pipelines/processors/filter_syntax %}} -#### Add processors - -Enter the information for the processors you want to use. Click the **Add** button to add additional processors. To delete a processor, click the kebab on the right side of the processor and select **Delete**. +{{% observability_pipelines/processors/add_processors %}} {{< tabs >}} {{% tab "Filter" %}} diff --git a/content/en/observability_pipelines/log_volume_control/splunk_hec.md b/content/en/observability_pipelines/log_volume_control/splunk_hec.md index 1ab3755454374..5316adc13f384 100644 --- a/content/en/observability_pipelines/log_volume_control/splunk_hec.md +++ b/content/en/observability_pipelines/log_volume_control/splunk_hec.md @@ -50,9 +50,7 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/filter_syntax %}} -#### Add processors - -Enter the information for the processors you want to use. Click the **Add** button to add additional processors. To delete a processor, click the kebab on the right side of the processor and select **Delete**. +{{% observability_pipelines/processors/add_processors %}} {{< tabs >}} {{% tab "Filter" %}} diff --git a/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md b/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md index 9267e64c52416..83956c39d184e 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md @@ -55,9 +55,7 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/filter_syntax %}} -#### Add processors - -Enter the information for the processors you want to use. Click the **Add** button to add additional processors. To delete a processor, click the kebab on the right side of the processor and select **Delete**. +{{% observability_pipelines/processors/add_processors %}} {{< tabs >}} {{% tab "Filter" %}} diff --git a/content/en/observability_pipelines/split_logs/splunk_hec.md b/content/en/observability_pipelines/split_logs/splunk_hec.md index 6017059f399b6..1053cf14ab72a 100644 --- a/content/en/observability_pipelines/split_logs/splunk_hec.md +++ b/content/en/observability_pipelines/split_logs/splunk_hec.md @@ -61,9 +61,7 @@ Enter the following information based on your selected logs destinations. {{% observability_pipelines/processors/filter_syntax %}} -#### Add processors - -Enter the information for the processors you want to use. Click the **Add** button to add additional processors. To delete a processor, click the kebab on the right side of the processor and select **Delete**. +{{% observability_pipelines/processors/add_processors %}} {{< tabs >}} {{% tab "Filter" %}} diff --git a/layouts/shortcodes/observability_pipelines/processors/add_processors.md b/layouts/shortcodes/observability_pipelines/processors/add_processors.md new file mode 100644 index 0000000000000..91fbee5d75737 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/processors/add_processors.md @@ -0,0 +1,3 @@ +#### Add processors + +Enter the information for the processors you want to use. Click the **Add** button to add additional processors. To delete a processor, click the kebab on the right side of the processor and select **Delete**. \ No newline at end of file From 17f63fb8df366d950067ae143184a6bdaabf7d3f Mon Sep 17 00:00:00 2001 From: May Lee Date: Thu, 4 Apr 2024 18:32:50 -0400 Subject: [PATCH 48/88] splunk tcp docs --- config/_default/menus/menus.en.yaml | 2 +- .../archive_logs/splunk_tcp.md | 155 ++++++++++++++++++ .../dual_ship_logs/splunk_tcp.md | 155 ++++++++++++++++++ .../log_volume_control/splunk_tcp.md | 155 ++++++++++++++++++ .../sensitive_data_redaction/splunk_tcp.md | 155 ++++++++++++++++++ .../split_logs/splunk_tcp.md | 155 ++++++++++++++++++ 6 files changed, 776 insertions(+), 1 deletion(-) create mode 100644 content/en/observability_pipelines/archive_logs/splunk_tcp.md create mode 100644 content/en/observability_pipelines/dual_ship_logs/splunk_tcp.md create mode 100644 content/en/observability_pipelines/log_volume_control/splunk_tcp.md create mode 100644 content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md create mode 100644 content/en/observability_pipelines/split_logs/splunk_tcp.md diff --git a/config/_default/menus/menus.en.yaml b/config/_default/menus/menus.en.yaml index 4e6559bfdf851..d12f15c1614a9 100644 --- a/config/_default/menus/menus.en.yaml +++ b/config/_default/menus/menus.en.yaml @@ -3363,7 +3363,7 @@ main: identifier: observability_pipelines_log_volume_control_splunk_hec weight: 1001 - name: Splunk Forwarders (TCP) - url: observability_pipelines/dual_ship_logs/splunk_tcp/ + url: observability_pipelines/log_volume_control/splunk_tcp/ parent: observability_pipelines_log_volume_control identifier: observability_pipelines_log_volume_control_splunk_tcp weight: 1002 diff --git a/content/en/observability_pipelines/archive_logs/splunk_tcp.md b/content/en/observability_pipelines/archive_logs/splunk_tcp.md new file mode 100644 index 0000000000000..f28d5fbfaa75a --- /dev/null +++ b/content/en/observability_pipelines/archive_logs/splunk_tcp.md @@ -0,0 +1,155 @@ +--- +title: Archive Logs for Splunk Heavy and Universal Forwarders (TCP) +kind: document +disable_toc: false +--- + +## Overview + +TKTK + +## Overview + +TKTK + + +This document walks you through the following steps: +1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines +1. [Setting up Observability Pipelines](#set-up-observability-pipelines) +1. [Connect Splunk Forwarder to the Observability Pipelines Worker](#connect-splunk-forwarder-to-the-observability-pipelines-worker) + +## Prerequisites + +{{% observability_pipelines/prerequisites/splunk_tcp %}} + +## Set up Observability Pipelines + +1. Navigate to [Observability Pipelines][1]. +1. Select the **USECASENAME** use case to create a new pipeline. +1. Select **Splunk TCP** as the source. + +### Set up the source + +{{% observability_pipelines/source_settings/splunk_tcp %}} + +### Set up destinations + +Enter the following information based on your selected logs destination. + +{{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_settings/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_settings/splunk_hec %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_settings/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} + +### Set up processors + +{{% observability_pipelines/processors/intro %}} + +{{% observability_pipelines/processors/filter_syntax %}} + +{{% observability_pipelines/processors/add_processors %}} + +{{< tabs >}} +{{% tab "Filter" %}} + +{{% observability_pipelines/processors/filter %}} + +{{% /tab %}} +{{% tab "Sample" %}} + +{{% observability_pipelines/processors/sample %}} + +{{% /tab %}} +{{% tab "Quota" %}} + +{{% observability_pipelines/processors/quota %}} + +{{% /tab %}} +{{% tab "Dedupe" %}} + +{{% observability_pipelines/processors/dedupe %}} + +{{% /tab %}} +{{% tab "Remap" %}} + +{{% observability_pipelines/processors/remap %}} + +{{% /tab %}} +{{< /tabs >}} + +## Install the Observability Pipelines Worker +1. Select your platform in the **Choose your installation platform** dropdown menu. +1. Enter the Splunk TCP address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. +{{< tabs >}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_env_vars/splunk_hec %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_env_vars/sumo_logic %}} + +{{% /tab %}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_env_vars/datadog %}} + +{{% /tab %}} +{{< /tabs >}} +1. Follow the instructions for your environment to install the Worker. +{{< tabs >}} +{{% tab "Docker" %}} + +{{% observability_pipelines/install_worker/docker %}} + +{{% /tab %}} +{{% tab "Amazon EKS" %}} + +{{% observability_pipelines/install_worker/amazon_eks %}} + +{{% /tab %}} +{{% tab "Azure AKS" %}} + +{{% observability_pipelines/install_worker/azure_aks %}} + +{{% /tab %}} +{{% tab "Google GKE" %}} + +{{% observability_pipelines/install_worker/google_gke %}} + +{{% /tab %}} +{{% tab "Linux (APT)" %}} + +{{% observability_pipelines/install_worker/linux_apt %}} + +{{% /tab %}} +{{% tab "Linux (RPM)" %}} + +{{% observability_pipelines/install_worker/linux_rpm %}} + +{{% /tab %}} +{{% tab "CloudFormation" %}} + +{{% observability_pipelines/install_worker/cloudformation %}} + +{{% /tab %}} +{{< /tabs >}} + +{{% observability_pipelines/log_source_configuration/splunk_tcp %}} + +[1]: https://app.datadoghq.com/observability-pipelines \ No newline at end of file diff --git a/content/en/observability_pipelines/dual_ship_logs/splunk_tcp.md b/content/en/observability_pipelines/dual_ship_logs/splunk_tcp.md new file mode 100644 index 0000000000000..3193b6aa06983 --- /dev/null +++ b/content/en/observability_pipelines/dual_ship_logs/splunk_tcp.md @@ -0,0 +1,155 @@ +--- +title: Dual Ship Logs for Splunk Heavy and Universal Forwarders (TCP) +kind: document +disable_toc: false +--- + +## Overview + +TKTK + +## Overview + +TKTK + + +This document walks you through the following steps: +1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines +1. [Setting up Observability Pipelines](#set-up-observability-pipelines) +1. [Connect Splunk Forwarder to the Observability Pipelines Worker](#connect-splunk-forwarder-to-the-observability-pipelines-worker) + +## Prerequisites + +{{% observability_pipelines/prerequisites/splunk_tcp %}} + +## Set up Observability Pipelines + +1. Navigate to [Observability Pipelines][1]. +1. Select the **USECASENAME** use case to create a new pipeline. +1. Select **Splunk TCP** as the source. + +### Set up the source + +{{% observability_pipelines/source_settings/splunk_tcp %}} + +### Set up destinations + +Enter the following information based on your selected logs destination. + +{{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_settings/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_settings/splunk_hec %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_settings/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} + +### Set up processors + +{{% observability_pipelines/processors/intro %}} + +{{% observability_pipelines/processors/filter_syntax %}} + +{{% observability_pipelines/processors/add_processors %}} + +{{< tabs >}} +{{% tab "Filter" %}} + +{{% observability_pipelines/processors/filter %}} + +{{% /tab %}} +{{% tab "Sample" %}} + +{{% observability_pipelines/processors/sample %}} + +{{% /tab %}} +{{% tab "Quota" %}} + +{{% observability_pipelines/processors/quota %}} + +{{% /tab %}} +{{% tab "Dedupe" %}} + +{{% observability_pipelines/processors/dedupe %}} + +{{% /tab %}} +{{% tab "Remap" %}} + +{{% observability_pipelines/processors/remap %}} + +{{% /tab %}} +{{< /tabs >}} + +## Install the Observability Pipelines Worker +1. Select your platform in the **Choose your installation platform** dropdown menu. +1. Enter the Splunk TCP address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. +{{< tabs >}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_env_vars/splunk_hec %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_env_vars/sumo_logic %}} + +{{% /tab %}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_env_vars/datadog %}} + +{{% /tab %}} +{{< /tabs >}} +1. Follow the instructions for your environment to install the Worker. +{{< tabs >}} +{{% tab "Docker" %}} + +{{% observability_pipelines/install_worker/docker %}} + +{{% /tab %}} +{{% tab "Amazon EKS" %}} + +{{% observability_pipelines/install_worker/amazon_eks %}} + +{{% /tab %}} +{{% tab "Azure AKS" %}} + +{{% observability_pipelines/install_worker/azure_aks %}} + +{{% /tab %}} +{{% tab "Google GKE" %}} + +{{% observability_pipelines/install_worker/google_gke %}} + +{{% /tab %}} +{{% tab "Linux (APT)" %}} + +{{% observability_pipelines/install_worker/linux_apt %}} + +{{% /tab %}} +{{% tab "Linux (RPM)" %}} + +{{% observability_pipelines/install_worker/linux_rpm %}} + +{{% /tab %}} +{{% tab "CloudFormation" %}} + +{{% observability_pipelines/install_worker/cloudformation %}} + +{{% /tab %}} +{{< /tabs >}} + +{{% observability_pipelines/log_source_configuration/splunk_tcp %}} + +[1]: https://app.datadoghq.com/observability-pipelines \ No newline at end of file diff --git a/content/en/observability_pipelines/log_volume_control/splunk_tcp.md b/content/en/observability_pipelines/log_volume_control/splunk_tcp.md new file mode 100644 index 0000000000000..c9df46b99dcfd --- /dev/null +++ b/content/en/observability_pipelines/log_volume_control/splunk_tcp.md @@ -0,0 +1,155 @@ +--- +title: Log Volume Control for Splunk Heavy and Universal Forwarders (TCP) +kind: document +disable_toc: false +--- + +## Overview + +TKTK + +## Overview + +TKTK + + +This document walks you through the following steps: +1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines +1. [Setting up Observability Pipelines](#set-up-observability-pipelines) +1. [Connect Splunk Forwarder to the Observability Pipelines Worker](#connect-splunk-forwarder-to-the-observability-pipelines-worker) + +## Prerequisites + +{{% observability_pipelines/prerequisites/splunk_tcp %}} + +## Set up Observability Pipelines + +1. Navigate to [Observability Pipelines][1]. +1. Select the **USECASENAME** use case to create a new pipeline. +1. Select **Splunk TCP** as the source. + +### Set up the source + +{{% observability_pipelines/source_settings/splunk_tcp %}} + +### Set up destinations + +Enter the following information based on your selected logs destination. + +{{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_settings/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_settings/splunk_hec %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_settings/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} + +### Set up processors + +{{% observability_pipelines/processors/intro %}} + +{{% observability_pipelines/processors/filter_syntax %}} + +{{% observability_pipelines/processors/add_processors %}} + +{{< tabs >}} +{{% tab "Filter" %}} + +{{% observability_pipelines/processors/filter %}} + +{{% /tab %}} +{{% tab "Sample" %}} + +{{% observability_pipelines/processors/sample %}} + +{{% /tab %}} +{{% tab "Quota" %}} + +{{% observability_pipelines/processors/quota %}} + +{{% /tab %}} +{{% tab "Dedupe" %}} + +{{% observability_pipelines/processors/dedupe %}} + +{{% /tab %}} +{{% tab "Remap" %}} + +{{% observability_pipelines/processors/remap %}} + +{{% /tab %}} +{{< /tabs >}} + +## Install the Observability Pipelines Worker +1. Select your platform in the **Choose your installation platform** dropdown menu. +1. Enter the Splunk TCP address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. +{{< tabs >}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_env_vars/splunk_hec %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_env_vars/sumo_logic %}} + +{{% /tab %}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_env_vars/datadog %}} + +{{% /tab %}} +{{< /tabs >}} +1. Follow the instructions for your environment to install the Worker. +{{< tabs >}} +{{% tab "Docker" %}} + +{{% observability_pipelines/install_worker/docker %}} + +{{% /tab %}} +{{% tab "Amazon EKS" %}} + +{{% observability_pipelines/install_worker/amazon_eks %}} + +{{% /tab %}} +{{% tab "Azure AKS" %}} + +{{% observability_pipelines/install_worker/azure_aks %}} + +{{% /tab %}} +{{% tab "Google GKE" %}} + +{{% observability_pipelines/install_worker/google_gke %}} + +{{% /tab %}} +{{% tab "Linux (APT)" %}} + +{{% observability_pipelines/install_worker/linux_apt %}} + +{{% /tab %}} +{{% tab "Linux (RPM)" %}} + +{{% observability_pipelines/install_worker/linux_rpm %}} + +{{% /tab %}} +{{% tab "CloudFormation" %}} + +{{% observability_pipelines/install_worker/cloudformation %}} + +{{% /tab %}} +{{< /tabs >}} + +{{% observability_pipelines/log_source_configuration/splunk_tcp %}} + +[1]: https://app.datadoghq.com/observability-pipelines \ No newline at end of file diff --git a/content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md b/content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md new file mode 100644 index 0000000000000..64dedcc33a4c0 --- /dev/null +++ b/content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md @@ -0,0 +1,155 @@ +--- +title: Sensitive Data Redaction for Splunk Heavy and Universal Forwarders (TCP) +kind: document +disable_toc: false +--- + +## Overview + +TKTK + +## Overview + +TKTK + + +This document walks you through the following steps: +1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines +1. [Setting up Observability Pipelines](#set-up-observability-pipelines) +1. [Connect Splunk Forwarder to the Observability Pipelines Worker](#connect-splunk-forwarder-to-the-observability-pipelines-worker) + +## Prerequisites + +{{% observability_pipelines/prerequisites/splunk_tcp %}} + +## Set up Observability Pipelines + +1. Navigate to [Observability Pipelines][1]. +1. Select the **USECASENAME** use case to create a new pipeline. +1. Select **Splunk TCP** as the source. + +### Set up the source + +{{% observability_pipelines/source_settings/splunk_tcp %}} + +### Set up destinations + +Enter the following information based on your selected logs destination. + +{{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_settings/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_settings/splunk_hec %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_settings/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} + +### Set up processors + +{{% observability_pipelines/processors/intro %}} + +{{% observability_pipelines/processors/filter_syntax %}} + +{{% observability_pipelines/processors/add_processors %}} + +{{< tabs >}} +{{% tab "Filter" %}} + +{{% observability_pipelines/processors/filter %}} + +{{% /tab %}} +{{% tab "Sample" %}} + +{{% observability_pipelines/processors/sample %}} + +{{% /tab %}} +{{% tab "Quota" %}} + +{{% observability_pipelines/processors/quota %}} + +{{% /tab %}} +{{% tab "Dedupe" %}} + +{{% observability_pipelines/processors/dedupe %}} + +{{% /tab %}} +{{% tab "Remap" %}} + +{{% observability_pipelines/processors/remap %}} + +{{% /tab %}} +{{< /tabs >}} + +## Install the Observability Pipelines Worker +1. Select your platform in the **Choose your installation platform** dropdown menu. +1. Enter the Splunk TCP address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. +{{< tabs >}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_env_vars/splunk_hec %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_env_vars/sumo_logic %}} + +{{% /tab %}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_env_vars/datadog %}} + +{{% /tab %}} +{{< /tabs >}} +1. Follow the instructions for your environment to install the Worker. +{{< tabs >}} +{{% tab "Docker" %}} + +{{% observability_pipelines/install_worker/docker %}} + +{{% /tab %}} +{{% tab "Amazon EKS" %}} + +{{% observability_pipelines/install_worker/amazon_eks %}} + +{{% /tab %}} +{{% tab "Azure AKS" %}} + +{{% observability_pipelines/install_worker/azure_aks %}} + +{{% /tab %}} +{{% tab "Google GKE" %}} + +{{% observability_pipelines/install_worker/google_gke %}} + +{{% /tab %}} +{{% tab "Linux (APT)" %}} + +{{% observability_pipelines/install_worker/linux_apt %}} + +{{% /tab %}} +{{% tab "Linux (RPM)" %}} + +{{% observability_pipelines/install_worker/linux_rpm %}} + +{{% /tab %}} +{{% tab "CloudFormation" %}} + +{{% observability_pipelines/install_worker/cloudformation %}} + +{{% /tab %}} +{{< /tabs >}} + +{{% observability_pipelines/log_source_configuration/splunk_tcp %}} + +[1]: https://app.datadoghq.com/observability-pipelines \ No newline at end of file diff --git a/content/en/observability_pipelines/split_logs/splunk_tcp.md b/content/en/observability_pipelines/split_logs/splunk_tcp.md new file mode 100644 index 0000000000000..f07a46f352077 --- /dev/null +++ b/content/en/observability_pipelines/split_logs/splunk_tcp.md @@ -0,0 +1,155 @@ +--- +title: Split Logs for Splunk Heavy and Universal Forwarders (TCP) +kind: document +disable_toc: false +--- + +## Overview + +TKTK + +## Overview + +TKTK + + +This document walks you through the following steps: +1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines +1. [Setting up Observability Pipelines](#set-up-observability-pipelines) +1. [Connect Splunk Forwarder to the Observability Pipelines Worker](#connect-splunk-forwarder-to-the-observability-pipelines-worker) + +## Prerequisites + +{{% observability_pipelines/prerequisites/splunk_tcp %}} + +## Set up Observability Pipelines + +1. Navigate to [Observability Pipelines][1]. +1. Select the **USECASENAME** use case to create a new pipeline. +1. Select **Splunk TCP** as the source. + +### Set up the source + +{{% observability_pipelines/source_settings/splunk_tcp %}} + +### Set up destinations + +Enter the following information based on your selected logs destination. + +{{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_settings/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_settings/splunk_hec %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_settings/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} + +### Set up processors + +{{% observability_pipelines/processors/intro %}} + +{{% observability_pipelines/processors/filter_syntax %}} + +{{% observability_pipelines/processors/add_processors %}} + +{{< tabs >}} +{{% tab "Filter" %}} + +{{% observability_pipelines/processors/filter %}} + +{{% /tab %}} +{{% tab "Sample" %}} + +{{% observability_pipelines/processors/sample %}} + +{{% /tab %}} +{{% tab "Quota" %}} + +{{% observability_pipelines/processors/quota %}} + +{{% /tab %}} +{{% tab "Dedupe" %}} + +{{% observability_pipelines/processors/dedupe %}} + +{{% /tab %}} +{{% tab "Remap" %}} + +{{% observability_pipelines/processors/remap %}} + +{{% /tab %}} +{{< /tabs >}} + +## Install the Observability Pipelines Worker +1. Select your platform in the **Choose your installation platform** dropdown menu. +1. Enter the Splunk TCP address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. +{{< tabs >}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_env_vars/splunk_hec %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_env_vars/sumo_logic %}} + +{{% /tab %}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_env_vars/datadog %}} + +{{% /tab %}} +{{< /tabs >}} +1. Follow the instructions for your environment to install the Worker. +{{< tabs >}} +{{% tab "Docker" %}} + +{{% observability_pipelines/install_worker/docker %}} + +{{% /tab %}} +{{% tab "Amazon EKS" %}} + +{{% observability_pipelines/install_worker/amazon_eks %}} + +{{% /tab %}} +{{% tab "Azure AKS" %}} + +{{% observability_pipelines/install_worker/azure_aks %}} + +{{% /tab %}} +{{% tab "Google GKE" %}} + +{{% observability_pipelines/install_worker/google_gke %}} + +{{% /tab %}} +{{% tab "Linux (APT)" %}} + +{{% observability_pipelines/install_worker/linux_apt %}} + +{{% /tab %}} +{{% tab "Linux (RPM)" %}} + +{{% observability_pipelines/install_worker/linux_rpm %}} + +{{% /tab %}} +{{% tab "CloudFormation" %}} + +{{% observability_pipelines/install_worker/cloudformation %}} + +{{% /tab %}} +{{< /tabs >}} + +{{% observability_pipelines/log_source_configuration/splunk_tcp %}} + +[1]: https://app.datadoghq.com/observability-pipelines \ No newline at end of file From f64c7f90ccc7761227c1292e2ab0a03644950444 Mon Sep 17 00:00:00 2001 From: May Lee Date: Fri, 5 Apr 2024 08:37:07 -0400 Subject: [PATCH 49/88] fix links --- .../archive_logs/splunk_tcp.md | 9 ++------- .../configure_log_archive/amazon_eks.md | 2 +- ...hives => connect_s3_to_datadog_log_archives.md} | 0 .../prerequisites/datadog_agent.md | 14 +++++++------- .../processors/filter_syntax.md | 8 ++++---- .../source_settings/datadog.md | 2 +- 6 files changed, 15 insertions(+), 20 deletions(-) rename layouts/shortcodes/observability_pipelines/configure_log_archive/{connect_s3_to_datadog_log_archives => connect_s3_to_datadog_log_archives.md} (100%) diff --git a/content/en/observability_pipelines/archive_logs/splunk_tcp.md b/content/en/observability_pipelines/archive_logs/splunk_tcp.md index f28d5fbfaa75a..99985057f3841 100644 --- a/content/en/observability_pipelines/archive_logs/splunk_tcp.md +++ b/content/en/observability_pipelines/archive_logs/splunk_tcp.md @@ -6,12 +6,7 @@ disable_toc: false ## Overview -TKTK - -## Overview - -TKTK - +Configure your Splunk Universal/Heavy Forwarder so that the Observability Pipelines Worker formats the logs collected into a Datadog-rehydratable format before routing them to Datadog Log Archives. This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines @@ -25,7 +20,7 @@ This document walks you through the following steps: ## Set up Observability Pipelines 1. Navigate to [Observability Pipelines][1]. -1. Select the **USECASENAME** use case to create a new pipeline. +1. Select the **Archive Logs** use case to create a new pipeline. 1. Select **Splunk TCP** as the source. ### Set up the source diff --git a/layouts/shortcodes/observability_pipelines/configure_log_archive/amazon_eks.md b/layouts/shortcodes/observability_pipelines/configure_log_archive/amazon_eks.md index 7d3516dc60bc3..c355b09bd64aa 100644 --- a/layouts/shortcodes/observability_pipelines/configure_log_archive/amazon_eks.md +++ b/layouts/shortcodes/observability_pipelines/configure_log_archive/amazon_eks.md @@ -1,5 +1,5 @@ ### Create a service account -[Create a service account][1001] to use the policy you created above. +[Create a service account][1001] to use the policy you created above. [1001]: https://docs.aws.amazon.com/eks/latest/userguide/associate-service-account-role.html \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/configure_log_archive/connect_s3_to_datadog_log_archives b/layouts/shortcodes/observability_pipelines/configure_log_archive/connect_s3_to_datadog_log_archives.md similarity index 100% rename from layouts/shortcodes/observability_pipelines/configure_log_archive/connect_s3_to_datadog_log_archives rename to layouts/shortcodes/observability_pipelines/configure_log_archive/connect_s3_to_datadog_log_archives.md diff --git a/layouts/shortcodes/observability_pipelines/prerequisites/datadog_agent.md b/layouts/shortcodes/observability_pipelines/prerequisites/datadog_agent.md index cca820e842abf..c5b160ddefce9 100644 --- a/layouts/shortcodes/observability_pipelines/prerequisites/datadog_agent.md +++ b/layouts/shortcodes/observability_pipelines/prerequisites/datadog_agent.md @@ -1,11 +1,11 @@ -You already have the Datadog Agent installed to collect and route your logs to [Datadog Log Management][101]. If you do not have Datadog Agents set up, see [Datadog Agent documentation][102] for more information. +You already have the Datadog Agent installed to collect and route your logs to [Datadog Log Management][301]. If you do not have Datadog Agents set up, see [Datadog Agent documentation][302] for more information. You have the following information available: - The Datadog Agent address, including the port, that your Observability Pipelines Worker will listen on for logs. -- A Datadog API key with [Remote Configuration enabled][103]. -- Your Datadog [`Site URL`][104]. For example `datadoghq.com` for the site `US1`. +- A Datadog API key with [Remote Configuration enabled][303]. +- Your Datadog [`Site URL`][304]. For example `datadoghq.com` for the site `US1`. -[101]: /logs/ -[102]: /agent/ -[103]: /agent/remote_config/?tab=configurationyamlfile#setup -[104]: /getting_started/site/ +[301]: /logs/ +[302]: /agent/ +[303]: /agent/remote_config/?tab=configurationyamlfile#setup +[304]: /getting_started/site/ diff --git a/layouts/shortcodes/observability_pipelines/processors/filter_syntax.md b/layouts/shortcodes/observability_pipelines/processors/filter_syntax.md index f9392ad32c54f..47e64d3e26c83 100644 --- a/layouts/shortcodes/observability_pipelines/processors/filter_syntax.md +++ b/layouts/shortcodes/observability_pipelines/processors/filter_syntax.md @@ -2,7 +2,7 @@ Each processor has a corresponding filter query in their fields. **Note**: Processors only process logs that match their filter query. -For any attribute, tag, or `key:value` pair that is not a [reserved attribute][101], your query must start with `@`. Conversely, to filter reserved attributes, you do not need to append `@` in front of your filter query. +For any attribute, tag, or `key:value` pair that is not a [reserved attribute][401], your query must start with `@`. Conversely, to filter reserved attributes, you do not need to append `@` in front of your filter query. For example, to filter out and drop `status:INFO` logs, your filter can be set as `NOT (status:INFO)`. To filter out and drop `system-status:INFO`, your filter must be set as `NOT (@system-status:INFO)`. @@ -12,7 +12,7 @@ Filter query examples: - This query can also be written as: `status:OK AND service:flask-web-app`. -`host:COMP-A9JNGYK OR host:COMP-J58KAS`: This filter query only matches logs from the labeled hosts. -Learn more about writing filter queries in [Datadog's Log Search Syntax][102]. +Learn more about writing filter queries in [Datadog's Log Search Syntax][402]. -[101]: /logs/log_configuration/attributes_naming_convention/#reserved-attributes -[102]: /logs/explorer/search_syntax/ \ No newline at end of file +[401]: /logs/log_configuration/attributes_naming_convention/#reserved-attributes +[402]: /logs/explorer/search_syntax/ \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/source_settings/datadog.md b/layouts/shortcodes/observability_pipelines/source_settings/datadog.md index d0e0c90c5554d..265119790bed0 100644 --- a/layouts/shortcodes/observability_pipelines/source_settings/datadog.md +++ b/layouts/shortcodes/observability_pipelines/source_settings/datadog.md @@ -1 +1 @@ -There are no settings to configure in this step. Your Datadog Agent address as an [environment variable][link to DD agent env vars section] is set in the installation step later. +There are no settings to configure in this step. From d2e6cd1be7c7fb1478e977df3cf505dffda1bbb1 Mon Sep 17 00:00:00 2001 From: May Lee Date: Fri, 5 Apr 2024 08:55:49 -0400 Subject: [PATCH 50/88] really fix all shortcode links --- .../archive_logs/splunk_tcp.md | 30 ++++++++++++++++++- .../configure_log_archive/amazon_eks.md | 4 +-- .../connect_s3_to_datadog_log_archives.md | 12 ++++---- .../configure_log_archive/docker.md | 4 +-- .../configure_log_archive/instructions.md | 8 ++--- .../configure_log_archive/linux_apt.md | 4 +-- .../install_worker/amazon_eks.md | 4 +-- .../install_worker/azure_aks.md | 4 +-- .../install_worker/google_gke.md | 4 +-- .../log_source_configuration/splunk_hec.md | 4 +-- .../log_source_configuration/sumo_logic.md | 4 +-- .../prerequisites/datadog_agent.md | 14 ++++----- .../prerequisites/splunk_hec.md | 12 ++++---- .../processors/filter_syntax.md | 8 ++--- .../processors/quota.md | 4 +-- 15 files changed, 74 insertions(+), 46 deletions(-) diff --git a/content/en/observability_pipelines/archive_logs/splunk_tcp.md b/content/en/observability_pipelines/archive_logs/splunk_tcp.md index 99985057f3841..ffafd168f6ca5 100644 --- a/content/en/observability_pipelines/archive_logs/splunk_tcp.md +++ b/content/en/observability_pipelines/archive_logs/splunk_tcp.md @@ -6,7 +6,7 @@ disable_toc: false ## Overview -Configure your Splunk Universal/Heavy Forwarder so that the Observability Pipelines Worker formats the logs collected into a Datadog-rehydratable format before routing them to Datadog Log Archives. +Configure your Splunk Universal/Heavy Forwarder so that the Observability Pipelines Worker formats the logs collected into a Datadog-rehydratable format before routing them to Datadog Log Archives. This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines @@ -17,6 +17,34 @@ This document walks you through the following steps: {{% observability_pipelines/prerequisites/splunk_tcp %}} +{{% observability_pipelines/configure_log_archive/instructions %}} + +{{< tabs >}} +{{% tab "Docker" %}} + +{{% observability_pipelines/configure_log_archive/docker %}} + + +{{% /tab %}} +{{% tab "Amazon EKS" %}} + +{{% observability_pipelines/configure_log_archive/amazon_eks %}} + +{{% /tab %}} +{{% tab "Linux (APT)" %}} + +{{% observability_pipelines/configure_log_archive/linux_apt %}} + +{{% /tab %}} +{{% tab "Linux (RPM)" %}} + +{{% observability_pipelines/configure_log_archive/linux_rpm %}} + +{{% /tab %}} +{{< /tabs >}} + +{{% observability_pipelines/configure_log_archive/connect_s3_to_datadog_log_archives %}} + ## Set up Observability Pipelines 1. Navigate to [Observability Pipelines][1]. diff --git a/layouts/shortcodes/observability_pipelines/configure_log_archive/amazon_eks.md b/layouts/shortcodes/observability_pipelines/configure_log_archive/amazon_eks.md index c355b09bd64aa..ecfce6e800f51 100644 --- a/layouts/shortcodes/observability_pipelines/configure_log_archive/amazon_eks.md +++ b/layouts/shortcodes/observability_pipelines/configure_log_archive/amazon_eks.md @@ -1,5 +1,5 @@ ### Create a service account -[Create a service account][1001] to use the policy you created above. +[Create a service account][101] to use the policy you created above. -[1001]: https://docs.aws.amazon.com/eks/latest/userguide/associate-service-account-role.html \ No newline at end of file +[101]: https://docs.aws.amazon.com/eks/latest/userguide/associate-service-account-role.html \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/configure_log_archive/connect_s3_to_datadog_log_archives.md b/layouts/shortcodes/observability_pipelines/configure_log_archive/connect_s3_to_datadog_log_archives.md index 216c437879b3c..3c5382f05f4b5 100644 --- a/layouts/shortcodes/observability_pipelines/configure_log_archive/connect_s3_to_datadog_log_archives.md +++ b/layouts/shortcodes/observability_pipelines/configure_log_archive/connect_s3_to_datadog_log_archives.md @@ -1,6 +1,6 @@ ### Connect the S3 bucket to Datadog Log Archives -1. Navigate to Datadog [Log Forwarding][1001]. +1. Navigate to Datadog [Log Forwarding][201]. 1. Click **Add a new archive**. 1. Enter a descriptive archive name. 1. Add a query that filters out all logs going through log pipelines so that none of those logs go into this archive. For example, add the query `observability_pipelines_read_only_archive`, assuming no logs going through the pipeline have that tag added. @@ -9,11 +9,11 @@ 1. Enter the name of the S3 bucket. 1. Optionally, enter a path. 1. Check the confirmation statement. -1. Optionally, add tags and define the maximum scan size for rehydration. See [Advanced settings][1002] for more information. +1. Optionally, add tags and define the maximum scan size for rehydration. See [Advanced settings][202] for more information. 1. Click **Save**. -See the [Log Archives documentation][1003] for additional information. +See the [Log Archives documentation][203] for additional information. -[1001]: https://app.datadoghq.com/logs/pipelines/log-forwarding -[1002]: /logs/log_configuration/archives/?tab=awss3#advanced-settings -[1003]: /logs/log_configuration/archives \ No newline at end of file +[201]: https://app.datadoghq.com/logs/pipelines/log-forwarding +[202]: /logs/log_configuration/archives/?tab=awss3#advanced-settings +[203]: /logs/log_configuration/archives \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/configure_log_archive/docker.md b/layouts/shortcodes/observability_pipelines/configure_log_archive/docker.md index ecb1c3f893f47..0e1e8cda9d41c 100644 --- a/layouts/shortcodes/observability_pipelines/configure_log_archive/docker.md +++ b/layouts/shortcodes/observability_pipelines/configure_log_archive/docker.md @@ -2,7 +2,7 @@ Create an IAM user and attach the IAM policy you created earlier to it. -1. Navigate to the [IAM console][1001]. +1. Navigate to the [IAM console][301]. 1. Select **Users** in the left side menu. 1. Click **Create user**. 1. Enter a user name. @@ -16,4 +16,4 @@ Create an IAM user and attach the IAM policy you created earlier to it. Create access credentials for the new IAM user. The AWS access key and AWS secret access key are added later as environment variables when you install the Observability Pipelines Worker. -[1001]: https://console.aws.amazon.com/iam/ \ No newline at end of file +[301]: https://console.aws.amazon.com/iam/ \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/configure_log_archive/instructions.md b/layouts/shortcodes/observability_pipelines/configure_log_archive/instructions.md index 5bd0129cb8b2f..4861a972f749f 100644 --- a/layouts/shortcodes/observability_pipelines/configure_log_archive/instructions.md +++ b/layouts/shortcodes/observability_pipelines/configure_log_archive/instructions.md @@ -2,7 +2,7 @@ ### Create an Amazon S3 bucket -1. Navigate to [Amazon S3 buckets][1001]. +1. Navigate to [Amazon S3 buckets][401]. 1. Click **Create bucket**. 1. Enter a descriptive name for your bucket. 1. Do not make your bucket publicly readable. @@ -11,7 +11,7 @@ ### Set up an IAM policy that allows Workers to write to the S3 bucket -1. Navigate to the [IAM console][1002]. +1. Navigate to the [IAM console][402]. 1. Select **Policies** in the left side menu. 1. Click **Create policy**. 1. Click **JSON** in the **Specify permissions** section. @@ -40,5 +40,5 @@ 1. Optionally, add tags. 1. Click **Create policy**. -[1001]: https://s3.console.aws.amazon.com/s3/home -[1002]: https://console.aws.amazon.com/iam/ \ No newline at end of file +[401]: https://s3.console.aws.amazon.com/s3/home +[402]: https://console.aws.amazon.com/iam/ \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/configure_log_archive/linux_apt.md b/layouts/shortcodes/observability_pipelines/configure_log_archive/linux_apt.md index a0c91b74e579e..e8fee27c1f758 100644 --- a/layouts/shortcodes/observability_pipelines/configure_log_archive/linux_apt.md +++ b/layouts/shortcodes/observability_pipelines/configure_log_archive/linux_apt.md @@ -2,7 +2,7 @@ Create an IAM user and attach the IAM policy you created earlier to it. -1. Navigate to the [IAM console][1001]. +1. Navigate to the [IAM console][501]. 1. Select **Users** in the left side menu. 1. Click **Create user**. 1. Enter a user name. @@ -15,4 +15,4 @@ Create an IAM user and attach the IAM policy you created earlier to it. Create access credentials for the new IAM user. The AWS access key and AWS secret access key are added later as environment variables when you install the Observability Pipelines Worker. -[1001]: https://console.aws.amazon.com/iam/ \ No newline at end of file +[501]: https://console.aws.amazon.com/iam/ \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/install_worker/amazon_eks.md b/layouts/shortcodes/observability_pipelines/install_worker/amazon_eks.md index 18a88900c6272..9b8e48f2bc90e 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/amazon_eks.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/amazon_eks.md @@ -1,4 +1,4 @@ -1. Download the [Helm chart values file][101] for Amazon EKS. +1. Download the [Helm chart values file][601] for Amazon EKS. 1. Click **Select API key** to choose the Datadog API key you want to use. 1. Add the Datadog chart repository to Helm: ```shell @@ -25,4 +25,4 @@ ``` 1. Navigate back to the Observability Pipelines installation page and click **Deploy**. -[101]: /resources/yaml/observability_pipelines/v2/setup/aws_eks.yaml \ No newline at end of file +[601]: /resources/yaml/observability_pipelines/v2/setup/aws_eks.yaml \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/install_worker/azure_aks.md b/layouts/shortcodes/observability_pipelines/install_worker/azure_aks.md index efb1bc51a4eb0..bee845a467f16 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/azure_aks.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/azure_aks.md @@ -1,4 +1,4 @@ -1. Download the [Helm chart values file][101] for Azure AKS. +1. Download the [Helm chart values file][701] for Azure AKS. 1. Click **Select API key** to choose the Datadog API key you want to use. 1. Add the Datadog chart repository to Helm: ```shell @@ -25,4 +25,4 @@ ``` 1. Navigate back to the Observability Pipelines installation page and click **Deploy**. -[101]: /resources/yaml/observability_pipelines/v2/setup/azure_aks.yaml \ No newline at end of file +[701]: /resources/yaml/observability_pipelines/v2/setup/azure_aks.yaml \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/install_worker/google_gke.md b/layouts/shortcodes/observability_pipelines/install_worker/google_gke.md index cc77263784b1b..b507283389559 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/google_gke.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/google_gke.md @@ -1,4 +1,4 @@ -1. Download the [Helm chart values file][101] for Google GKE. +1. Download the [Helm chart values file][801] for Google GKE. 1. Click **Select API key** to choose the Datadog API key you want to use. 1. Add the Datadog chart repository to Helm: ```shell @@ -25,4 +25,4 @@ ``` 1. Navigate back to the Observability Pipelines installation page and click **Deploy**. -[101]: /resources/yaml/observability_pipelines/v2/setup/google_gke.yaml \ No newline at end of file +[801]: /resources/yaml/observability_pipelines/v2/setup/google_gke.yaml \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/log_source_configuration/splunk_hec.md b/layouts/shortcodes/observability_pipelines/log_source_configuration/splunk_hec.md index 80845e231cc65..fc2189c8eb272 100644 --- a/layouts/shortcodes/observability_pipelines/log_source_configuration/splunk_hec.md +++ b/layouts/shortcodes/observability_pipelines/log_source_configuration/splunk_hec.md @@ -1,6 +1,6 @@ ## Send logs to the Observability Pipelines Worker over Splunk HEC -After you install the Observability Pipelines Worker and deploy the configuration, the Worker exposes three HTTP endpoints that uses the [Splunk HEC API][101]: +After you install the Observability Pipelines Worker and deploy the configuration, the Worker exposes three HTTP endpoints that uses the [Splunk HEC API][901]: - `/services/collector/event` - `/services/collector/raw` - `/services/collector/health` @@ -18,4 +18,4 @@ curl http://:8088/services/collector/event \ At this point, your logs should be going to the Worker, processed by the pipeline, and delivered to the Splunk index. -[101]: https://docs.splunk.com/Documentation/Splunk/9.2.1/Data/UsetheHTTPEventCollector \ No newline at end of file +[901]: https://docs.splunk.com/Documentation/Splunk/9.2.1/Data/UsetheHTTPEventCollector \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/log_source_configuration/sumo_logic.md b/layouts/shortcodes/observability_pipelines/log_source_configuration/sumo_logic.md index 8eba336709605..75b22e62542e5 100644 --- a/layouts/shortcodes/observability_pipelines/log_source_configuration/sumo_logic.md +++ b/layouts/shortcodes/observability_pipelines/log_source_configuration/sumo_logic.md @@ -1,6 +1,6 @@ ## Send logs to the Observability Pipelines Worker over Sumo Logic HTTP Source -After you install the Observability Pipelines Worker and deploy the configuration, the Worker exposes HTTP endpoints that uses the [Sumo Logic Http Source API][101]. +After you install the Observability Pipelines Worker and deploy the configuration, the Worker exposes HTTP endpoints that uses the [Sumo Logic Http Source API][1001]. To send logs to your Sumo Logic HTTP Source, you must point your existing logs upstream to the Worker: ```shell @@ -12,4 +12,4 @@ curl -v -X POST -T [local_file_name] http:///receiver/v1/http/ Date: Fri, 5 Apr 2024 09:13:20 -0400 Subject: [PATCH 51/88] update all splunk tcp docs --- .../dual_ship_logs/splunk_tcp.md | 15 ++++++++------- .../log_volume_control/splunk_tcp.md | 8 +------- .../sensitive_data_redaction/_index.md | 4 +++- .../sensitive_data_redaction/splunk_hec.md | 4 +++- .../sensitive_data_redaction/splunk_tcp.md | 14 ++++++++------ .../split_logs/splunk_tcp.md | 15 ++++++++------- .../processors/sensitive_data_scanner.md | 2 +- 7 files changed, 32 insertions(+), 30 deletions(-) diff --git a/content/en/observability_pipelines/dual_ship_logs/splunk_tcp.md b/content/en/observability_pipelines/dual_ship_logs/splunk_tcp.md index 3193b6aa06983..be6c3ccea0797 100644 --- a/content/en/observability_pipelines/dual_ship_logs/splunk_tcp.md +++ b/content/en/observability_pipelines/dual_ship_logs/splunk_tcp.md @@ -6,12 +6,7 @@ disable_toc: false ## Overview -TKTK - -## Overview - -TKTK - +Configure your Splunk Heavy or Universal Forwarders to send logs to the Observability Pipelines Worker to process and route them to downstream destinations. This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines @@ -20,12 +15,18 @@ This document walks you through the following steps: ## Prerequisites +### Splunk Heavy and Universal Forwarders (TCP) + {{% observability_pipelines/prerequisites/splunk_tcp %}} +### Datadog Agent + +{{% observability_pipelines/prerequisites/datadog_agent %}} + ## Set up Observability Pipelines 1. Navigate to [Observability Pipelines][1]. -1. Select the **USECASENAME** use case to create a new pipeline. +1. Select the **Dual Ship** use case to create a new pipeline. 1. Select **Splunk TCP** as the source. ### Set up the source diff --git a/content/en/observability_pipelines/log_volume_control/splunk_tcp.md b/content/en/observability_pipelines/log_volume_control/splunk_tcp.md index c9df46b99dcfd..b4be4af864447 100644 --- a/content/en/observability_pipelines/log_volume_control/splunk_tcp.md +++ b/content/en/observability_pipelines/log_volume_control/splunk_tcp.md @@ -6,14 +6,8 @@ disable_toc: false ## Overview -TKTK +This document walks you through the following steps to set up the Observability Pipelines Worker with Splunk Heavy and Universal Forwarders so that you route only useful logs to your destinations: -## Overview - -TKTK - - -This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) 1. [Connect Splunk Forwarder to the Observability Pipelines Worker](#connect-splunk-forwarder-to-the-observability-pipelines-worker) diff --git a/content/en/observability_pipelines/sensitive_data_redaction/_index.md b/content/en/observability_pipelines/sensitive_data_redaction/_index.md index d6a3cb71bb497..38566e6e123cb 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/_index.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/_index.md @@ -6,7 +6,9 @@ disable_toc: false ## Overview -Sensitive data, such as credit card numbers, bank routing numbers, and API keys, can be revealed unintentionally in your logs, which can expose your organization to financial and privacy risks. Use the Observability Pipelines Worker to identify, tag, and optionally redact or hash sensitive information before routing logs to different destinations and outside of your infrastructure. You can use out-of-the-box scanning rules to detect common patterns such as email addresses, credit card numbers, API keys, authorization tokens, and more. Or, create custom scanning rules using regex patterns to match sensitive information. +Sensitive data, such as credit card numbers, bank routing numbers, and API keys, can be revealed unintentionally in your logs, which can expose your organization to financial and privacy risks. + +Use the Observability Pipelines Worker to identify, tag, and optionally redact or hash sensitive information before routing logs to different destinations and outside of your infrastructure. You can use out-of-the-box scanning rules to detect common patterns such as email addresses, credit card numbers, API keys, authorization tokens, and more. Or, create custom scanning rules using regex patterns to match sensitive information. Select a log source to get started: diff --git a/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md b/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md index 83956c39d184e..f5771bf182d46 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md @@ -6,7 +6,9 @@ disable_toc: false ## Overview -Sensitive data, such as credit card numbers, bank routing numbers, and API keys, can be revealed unintentionally in your logs, which can expose your organization to financial and privacy risks. Use the Observability Pipelines to identify, tag, and optionally redact or hash sensitive information before routing logs to different destinations and outside of your infrastructure. You can use out-of-the-box scanning rules to detect common patterns such as email addresses, credit card numbers, API keys, authorization tokens, and more. Or, create custom scanning rules using regex patterns to match sensitive information. +Sensitive data, such as credit card numbers, bank routing numbers, and API keys, can be revealed unintentionally in your logs, which can expose your organization to financial and privacy risks. + +Use the Observability Pipelines to identify, tag, and optionally redact or hash sensitive information before routing logs to different destinations and outside of your infrastructure. You can use out-of-the-box scanning rules to detect common patterns such as email addresses, credit card numbers, API keys, authorization tokens, and more. Or, create custom scanning rules using regex patterns to match sensitive information. This document walks through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines diff --git a/content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md b/content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md index 64dedcc33a4c0..4d1ca1a8468e5 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md @@ -6,12 +6,9 @@ disable_toc: false ## Overview -TKTK - -## Overview - -TKTK +Sensitive data, such as credit card numbers, bank routing numbers, and API keys, can be revealed unintentionally in your logs, which can expose your organization to financial and privacy risks. +Use the Observability Pipelines to identify, tag, and optionally redact or hash sensitive information before routing logs to different destinations and outside of your infrastructure. You can use out-of-the-box scanning rules to detect common patterns such as email addresses, credit card numbers, API keys, authorization tokens, and more. Or, create custom scanning rules using regex patterns to match sensitive information. This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines @@ -25,7 +22,7 @@ This document walks you through the following steps: ## Set up Observability Pipelines 1. Navigate to [Observability Pipelines][1]. -1. Select the **USECASENAME** use case to create a new pipeline. +1. Select the **Sensitive Data Redaction** use case to create a new pipeline. 1. Select **Splunk TCP** as the source. ### Set up the source @@ -87,6 +84,11 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/remap %}} +{{% /tab %}} +{{% tab "Sensitive Data Scanner" %}} + +{{% observability_pipelines/processors/sensitive_data_scanner %}} + {{% /tab %}} {{< /tabs >}} diff --git a/content/en/observability_pipelines/split_logs/splunk_tcp.md b/content/en/observability_pipelines/split_logs/splunk_tcp.md index f07a46f352077..471b957791b85 100644 --- a/content/en/observability_pipelines/split_logs/splunk_tcp.md +++ b/content/en/observability_pipelines/split_logs/splunk_tcp.md @@ -6,12 +6,7 @@ disable_toc: false ## Overview -TKTK - -## Overview - -TKTK - +Configure your Splunk Heavy and Universal Forwarders to send logs to the Observability Pipelines Worker and then process and route them to different destinations based on your use case. This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines @@ -20,12 +15,18 @@ This document walks you through the following steps: ## Prerequisites +### Splunk TCP + {{% observability_pipelines/prerequisites/splunk_tcp %}} +### Datadog Agent + +{{% observability_pipelines/prerequisites/datadog_agent %}} + ## Set up Observability Pipelines 1. Navigate to [Observability Pipelines][1]. -1. Select the **USECASENAME** use case to create a new pipeline. +1. Select the **Split Logs** use case to create a new pipeline. 1. Select **Splunk TCP** as the source. ### Set up the source diff --git a/layouts/shortcodes/observability_pipelines/processors/sensitive_data_scanner.md b/layouts/shortcodes/observability_pipelines/processors/sensitive_data_scanner.md index 264f7cf78d4d5..6d4c591be40f0 100644 --- a/layouts/shortcodes/observability_pipelines/processors/sensitive_data_scanner.md +++ b/layouts/shortcodes/observability_pipelines/processors/sensitive_data_scanner.md @@ -1,7 +1,7 @@ The Sensitive Data Scanner processor scans logs to detect and redact or hash sensitive information such as PII, PCI, and custom sensitive data. You can pick from our library of predefined rules, or input custom Regex rules to scan for sensitive data. To set up the sensitive data scanner processor: -1. Define a **filter query**. Only logs that match the specified [filter query][link to filter query syntax] is scanned and processed. +1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) is scanned and processed. 1. Click **Add Scanning Rule** 1. Name your scanning rule 1. In the **Select scanning rule type** field, select whether you want to create a rule from the library or create a custom rule. From bdd1db940ce8ef0b44d3f5020517fe8ffdb9540a Mon Sep 17 00:00:00 2001 From: May Lee Date: Fri, 5 Apr 2024 09:15:32 -0400 Subject: [PATCH 52/88] add archives dest tcp --- .../en/observability_pipelines/archive_logs/splunk_tcp.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/content/en/observability_pipelines/archive_logs/splunk_tcp.md b/content/en/observability_pipelines/archive_logs/splunk_tcp.md index ffafd168f6ca5..5cea4e02af37a 100644 --- a/content/en/observability_pipelines/archive_logs/splunk_tcp.md +++ b/content/en/observability_pipelines/archive_logs/splunk_tcp.md @@ -74,6 +74,11 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/destination_settings/sumo_logic %}} +{{% /tab %}} +{{% tab "Datadog Archives" %}} + +{{% observability_pipelines/destination_settings/datadog_archives %}} + {{% /tab %}} {{< /tabs >}} From 9eb770a21df57df70cd0f71d7cd154e66d67350b Mon Sep 17 00:00:00 2001 From: May Lee Date: Fri, 5 Apr 2024 09:54:19 -0400 Subject: [PATCH 53/88] add sumo logic docs --- config/_default/menus/menus.en.yaml | 20 +- .../archive_logs/splunk_hec.md | 1 - .../archive_logs/splunk_tcp.md | 12 +- .../sumo_logic_hosted_collector.md | 183 ++++++++++++++++++ .../dual_ship_logs/splunk_tcp.md | 12 +- .../sumo_logic_hosted_collector.md | 156 +++++++++++++++ .../log_volume_control/splunk_tcp.md | 2 +- .../sumo_logic_hosted_collector.md | 150 ++++++++++++++ .../sensitive_data_redaction/splunk_tcp.md | 2 +- .../sumo_logic_hosted_collector.md | 159 +++++++++++++++ .../split_logs/splunk_tcp.md | 2 +- .../split_logs/sumo_logic_hosted_collector.md | 156 +++++++++++++++ 12 files changed, 829 insertions(+), 26 deletions(-) create mode 100644 content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md create mode 100644 content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md create mode 100644 content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md create mode 100644 content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md create mode 100644 content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md diff --git a/config/_default/menus/menus.en.yaml b/config/_default/menus/menus.en.yaml index d12f15c1614a9..22a57d3395fc7 100644 --- a/config/_default/menus/menus.en.yaml +++ b/config/_default/menus/menus.en.yaml @@ -3368,9 +3368,9 @@ main: identifier: observability_pipelines_log_volume_control_splunk_tcp weight: 1002 - name: Sumo Logic Hosted Collector - url: observability_pipelines/log_volume_control/sumo_logic/ + url: observability_pipelines/log_volume_control/sumo_logic_hosted_collector/ parent: observability_pipelines_log_volume_control - identifier: observability_pipelines_log_volume_control_sumo_logic + identifier: observability_pipelines_log_volume_control_sumo_logic_hosted_collector weight: 1003 - name: Dual Ship Logs url: observability_pipelines/dual_ship_logs/ @@ -3393,9 +3393,9 @@ main: identifier: observability_pipelines_dual_ship_logs_splunk_tcp weight: 2003 - name: Sumo Logic Hosted Collector - url: observability_pipelines/dual_ship_logs/sumo_logic/ + url: observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector/ parent: observability_pipelines_dual_ship_logs - identifier: observability_pipelines_dual_ship_logs_sumo_logic + identifier: observability_pipelines_dual_ship_logs_sumo_logic_hosted_collector weight: 2004 - name: Archive Logs url: observability_pipelines/archive_logs/ @@ -3418,9 +3418,9 @@ main: identifier: observability_pipelines_archive_logs_splunk_tcp weight: 3003 - name: Sumo Logic Hosted Collector - url: observability_pipelines/archive_logs/sumo_logic/ + url: observability_pipelines/archive_logs/sumo_logic_hosted_collector/ parent: observability_pipelines_archive_logs - identifier: observability_pipelines_archive_logs_sumo_logic + identifier: observability_pipelines_archive_logs_sumo_logic_hosted_collector weight: 3004 - name: Split Logs url: observability_pipelines/split_logs/ @@ -3443,9 +3443,9 @@ main: identifier: observability_pipelines_split_logs_splunk_tcp weight: 4003 - name: Sumo Logic Hosted Collector - url: observability_pipelines/split_logs/sumo_logic/ + url: observability_pipelines/split_logs/sumo_logic_hosted_collector/ parent: observability_pipelines_split_logs - identifier: observability_pipelines_split_logs_sumo_logic + identifier: observability_pipelines_split_logs_sumo_logic_hosted_collector weight: 4004 - name: Sensitive Data Redaction url: observability_pipelines/sensitive_data_redaction/ @@ -3468,9 +3468,9 @@ main: identifier: observability_pipelines_sensitive_data_redaction_splunk_tcp weight: 5003 - name: Sumo Logic Hosted Collector - url: observability_pipelines/sensitive_data_redaction/sumo_logic/ + url: observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector/ parent: observability_pipelines_sensitive_data_redaction - identifier: observability_pipelines_sensitive_data_redaction_sumo_logic + identifier: observability_pipelines_sensitive_data_redaction_sumo_logic_hosted_collector weight: 5004 - name: Configure Existing Pipelines url: observability_pipelines/configure_existing_pipelines/ diff --git a/content/en/observability_pipelines/archive_logs/splunk_hec.md b/content/en/observability_pipelines/archive_logs/splunk_hec.md index f632d62f037c2..2e9d994cc3b38 100644 --- a/content/en/observability_pipelines/archive_logs/splunk_hec.md +++ b/content/en/observability_pipelines/archive_logs/splunk_hec.md @@ -123,7 +123,6 @@ Enter the following information based on your selected logs destinations. 1. Select your platform in the **Choose your installation platform** dropdown menu. 1. Enter the Splunk HEC address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. - {{< tabs >}} {{% tab "Datadog" %}} diff --git a/content/en/observability_pipelines/archive_logs/splunk_tcp.md b/content/en/observability_pipelines/archive_logs/splunk_tcp.md index 5cea4e02af37a..572a1b1ca81c1 100644 --- a/content/en/observability_pipelines/archive_logs/splunk_tcp.md +++ b/content/en/observability_pipelines/archive_logs/splunk_tcp.md @@ -55,11 +55,16 @@ This document walks you through the following steps: {{% observability_pipelines/source_settings/splunk_tcp %}} -### Set up destinations +### Set up the destinations Enter the following information based on your selected logs destination. {{< tabs >}} +{{% tab "Datadog Archives" %}} + +{{% observability_pipelines/destination_settings/datadog_archives %}} + +{{% /tab %}} {{% tab "Datadog" %}} {{% observability_pipelines/destination_settings/datadog %}} @@ -74,11 +79,6 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/destination_settings/sumo_logic %}} -{{% /tab %}} -{{% tab "Datadog Archives" %}} - -{{% observability_pipelines/destination_settings/datadog_archives %}} - {{% /tab %}} {{< /tabs >}} diff --git a/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md new file mode 100644 index 0000000000000..46d114243799d --- /dev/null +++ b/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md @@ -0,0 +1,183 @@ +--- +title: Archive Logs for Sumo Logic Hosted Collector +kind: document +disable_toc: false +--- + +## Overview + +Configure your Sumo Logic Hosted Collector with the HTTP Logs source so that the Observability Pipelines Worker formats the logs collected into a Datadog-rehydratable format before routing them to Datadog Log Archives. + +This document walks you through the following steps: +1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines +1. [Setting up Observability Pipelines](#set-up-observability-pipelines) +1. [Sending logs to the Observability Pipelines Worker over Sumo Logic HTTP Source](#send-logs-to-the-observability-pipelines-worker-over-sumo-logic-http-source) + +## Prerequisites + +{{% observability_pipelines/prerequisites/sumo_logic %}} + +{{% observability_pipelines/configure_log_archive/instructions %}} + +{{< tabs >}} +{{% tab "Docker" %}} + +{{% observability_pipelines/configure_log_archive/docker %}} + + +{{% /tab %}} +{{% tab "Amazon EKS" %}} + +{{% observability_pipelines/configure_log_archive/amazon_eks %}} + +{{% /tab %}} +{{% tab "Linux (APT)" %}} + +{{% observability_pipelines/configure_log_archive/linux_apt %}} + +{{% /tab %}} +{{% tab "Linux (RPM)" %}} + +{{% observability_pipelines/configure_log_archive/linux_rpm %}} + +{{% /tab %}} +{{< /tabs >}} + +{{% observability_pipelines/configure_log_archive/connect_s3_to_datadog_log_archives %}} + +## Set up Observability Pipelines + +1. Navigate to [Observability Pipelines][1]. +1. Select the **Archive Logs** use case to create a new pipeline. +1. Select **Sumo Logic** as the source. + +### Set up the source + +{{% observability_pipelines/source_settings/splunk_hec %}} + +### Set up the destinations + +Enter the following information based on your selected logs destination. + +{{< tabs >}} +{{% tab "Datadog Archives" %}} + +{{% observability_pipelines/destination_settings/datadog_archives %}} + +{{% /tab %}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_settings/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_settings/splunk_hec %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_settings/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} + +### Set up processors + +{{% observability_pipelines/processors/intro %}} + +{{% observability_pipelines/processors/filter_syntax %}} + +{{% observability_pipelines/processors/add_processors %}} + +{{< tabs >}} +{{% tab "Filter" %}} + +{{% observability_pipelines/processors/filter %}} + +{{% /tab %}} +{{% tab "Sample" %}} + +{{% observability_pipelines/processors/sample %}} + +{{% /tab %}} +{{% tab "Quota" %}} + +{{% observability_pipelines/processors/quota %}} + +{{% /tab %}} +{{% tab "Dedupe" %}} + +{{% observability_pipelines/processors/dedupe %}} + +{{% /tab %}} +{{% tab "Remap" %}} + +{{% observability_pipelines/processors/remap %}} + +{{% /tab %}} +{{< /tabs >}} + +## Install the Observability Pipelines Worker +1. Select your platform in the **Choose your installation platform** dropdown menu. +1. Enter the Sumo Logic address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. +{{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_env_vars/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_env_vars/splunk_hec %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_env_vars/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} +1. Follow the instructions for your environment to install the Worker. +{{< tabs >}} +{{% tab "Docker" %}} + +{{% observability_pipelines/install_worker/docker %}} + +{{% /tab %}} +{{% tab "Amazon EKS" %}} + +{{% observability_pipelines/install_worker/amazon_eks %}} + +{{% /tab %}} +{{% tab "Azure AKS" %}} + +{{% observability_pipelines/install_worker/azure_aks %}} + +{{% /tab %}} +{{% tab "Google GKE" %}} + +{{% observability_pipelines/install_worker/google_gke %}} + +{{% /tab %}} +{{% tab "Linux (APT)" %}} + +{{% observability_pipelines/install_worker/linux_apt %}} + +{{% /tab %}} +{{% tab "Linux (RPM)" %}} + +{{% observability_pipelines/install_worker/linux_rpm %}} + +{{% /tab %}} +{{% tab "CloudFormation" %}} + +{{% observability_pipelines/install_worker/cloudformation %}} + +{{% /tab %}} +{{< /tabs >}} + +{{% observability_pipelines/log_source_configuration/sumo_logic %}} + +[1]: https://app.datadoghq.com/observability-pipelines \ No newline at end of file diff --git a/content/en/observability_pipelines/dual_ship_logs/splunk_tcp.md b/content/en/observability_pipelines/dual_ship_logs/splunk_tcp.md index be6c3ccea0797..1561150b6e06b 100644 --- a/content/en/observability_pipelines/dual_ship_logs/splunk_tcp.md +++ b/content/en/observability_pipelines/dual_ship_logs/splunk_tcp.md @@ -33,7 +33,7 @@ This document walks you through the following steps: {{% observability_pipelines/source_settings/splunk_tcp %}} -### Set up destinations +### Set up the destinations Enter the following information based on your selected logs destination. @@ -96,6 +96,11 @@ Enter the following information based on your selected logs destination. 1. Enter the Splunk TCP address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. {{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_env_vars/datadog %}} + +{{% /tab %}} {{% tab "Splunk HEC" %}} {{% observability_pipelines/destination_env_vars/splunk_hec %}} @@ -105,11 +110,6 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/destination_env_vars/sumo_logic %}} -{{% /tab %}} -{{% tab "Datadog" %}} - -{{% observability_pipelines/destination_env_vars/datadog %}} - {{% /tab %}} {{< /tabs >}} 1. Follow the instructions for your environment to install the Worker. diff --git a/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md new file mode 100644 index 0000000000000..951adefd1d3b0 --- /dev/null +++ b/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md @@ -0,0 +1,156 @@ +--- +title: Dual Ship Logs from Sumo Logic Hosted Collector +kind: document +disable_toc: false +--- + +## Overview + +Configure Sumo Logic Hosted Collector with the HTTP Logs source to send logs to the Observability Pipelines Worker so that Observability Pipelines receives and routes logs from the Sumo Logic Hosted Collector to downstream destinations. + +This document walks you through the following steps: +1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines +1. [Setting up Observability Pipelines](#set-up-observability-pipelines) +1. [Sending logs to the Observability Pipelines Worker over Sumo Logic HTTP Source](#send-logs-to-the-observability-pipelines-worker-over-sumo-logic-http-source) + +## Prerequisites + +### Sumo Logic Hosted Collectors + +{{% observability_pipelines/prerequisites/sumo_logic %}} + +### Datadog Agent + +{{% observability_pipelines/prerequisites/datadog_agent %}} + +## Set up Observability Pipelines + +1. Navigate to [Observability Pipelines][1]. +1. Select the **Dual Ship** use case to create a new pipeline. +1. Select **Sumo Logic** as the source. + +### Set up the source + +{{% observability_pipelines/source_settings/splunk_hec %}} + +### Set up the destinations + +Enter the following information based on your selected logs destination. + +{{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_settings/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_settings/splunk_hec %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_settings/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} + +### Set up processors + +{{% observability_pipelines/processors/intro %}} + +{{% observability_pipelines/processors/filter_syntax %}} + +{{% observability_pipelines/processors/add_processors %}} + +{{< tabs >}} +{{% tab "Filter" %}} + +{{% observability_pipelines/processors/filter %}} + +{{% /tab %}} +{{% tab "Sample" %}} + +{{% observability_pipelines/processors/sample %}} + +{{% /tab %}} +{{% tab "Quota" %}} + +{{% observability_pipelines/processors/quota %}} + +{{% /tab %}} +{{% tab "Dedupe" %}} + +{{% observability_pipelines/processors/dedupe %}} + +{{% /tab %}} +{{% tab "Remap" %}} + +{{% observability_pipelines/processors/remap %}} + +{{% /tab %}} +{{< /tabs >}} + +## Install the Observability Pipelines Worker +1. Select your platform in the **Choose your installation platform** dropdown menu. +1. Enter the Sumo Logic address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. +{{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_env_vars/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_env_vars/splunk_hec %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_env_vars/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} +1. Follow the instructions for your environment to install the Worker. +{{< tabs >}} +{{% tab "Docker" %}} + +{{% observability_pipelines/install_worker/docker %}} + +{{% /tab %}} +{{% tab "Amazon EKS" %}} + +{{% observability_pipelines/install_worker/amazon_eks %}} + +{{% /tab %}} +{{% tab "Azure AKS" %}} + +{{% observability_pipelines/install_worker/azure_aks %}} + +{{% /tab %}} +{{% tab "Google GKE" %}} + +{{% observability_pipelines/install_worker/google_gke %}} + +{{% /tab %}} +{{% tab "Linux (APT)" %}} + +{{% observability_pipelines/install_worker/linux_apt %}} + +{{% /tab %}} +{{% tab "Linux (RPM)" %}} + +{{% observability_pipelines/install_worker/linux_rpm %}} + +{{% /tab %}} +{{% tab "CloudFormation" %}} + +{{% observability_pipelines/install_worker/cloudformation %}} + +{{% /tab %}} +{{< /tabs >}} + +{{% observability_pipelines/log_source_configuration/sumo_logic %}} + +[1]: https://app.datadoghq.com/observability-pipelines \ No newline at end of file diff --git a/content/en/observability_pipelines/log_volume_control/splunk_tcp.md b/content/en/observability_pipelines/log_volume_control/splunk_tcp.md index b4be4af864447..ea581da25bbe8 100644 --- a/content/en/observability_pipelines/log_volume_control/splunk_tcp.md +++ b/content/en/observability_pipelines/log_volume_control/splunk_tcp.md @@ -26,7 +26,7 @@ This document walks you through the following steps to set up the Observability {{% observability_pipelines/source_settings/splunk_tcp %}} -### Set up destinations +### Set up the destination Enter the following information based on your selected logs destination. diff --git a/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md new file mode 100644 index 0000000000000..1d3636f04db9e --- /dev/null +++ b/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md @@ -0,0 +1,150 @@ +--- +title: Log Volume Control for Sumo Logic Hosted Collector +kind: document +disable_toc: false +--- + +## Overview + +This document walks you through the following steps to set up the Observability Pipelines Worker with the Sumo Logic Hosted Collector HTTP Logs source so that you only route useful logs to your destinations: + +This document walks you through the following steps: +1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines +1. [Setting up Observability Pipelines](#set-up-observability-pipelines) +1. [Sending logs to the Observability Pipelines Worker over Sumo Logic HTTP Source](#send-logs-to-the-observability-pipelines-worker-over-sumo-logic-http-source) + +## Prerequisites + +{{% observability_pipelines/prerequisites/sumo_logic %}} + +## Set up Observability Pipelines + +1. Navigate to [Observability Pipelines][1]. +1. Select the **Log Volume Control** use case to create a new pipeline. +1. Select **Sumo Logic** as the source. + +### Set up the source + +{{% observability_pipelines/source_settings/splunk_hec %}} + +### Set up the destination + +Enter the following information based on your selected logs destination. + +{{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_settings/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_settings/splunk_hec %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_settings/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} + +### Set up processors + +{{% observability_pipelines/processors/intro %}} + +{{% observability_pipelines/processors/filter_syntax %}} + +{{% observability_pipelines/processors/add_processors %}} + +{{< tabs >}} +{{% tab "Filter" %}} + +{{% observability_pipelines/processors/filter %}} + +{{% /tab %}} +{{% tab "Sample" %}} + +{{% observability_pipelines/processors/sample %}} + +{{% /tab %}} +{{% tab "Quota" %}} + +{{% observability_pipelines/processors/quota %}} + +{{% /tab %}} +{{% tab "Dedupe" %}} + +{{% observability_pipelines/processors/dedupe %}} + +{{% /tab %}} +{{% tab "Remap" %}} + +{{% observability_pipelines/processors/remap %}} + +{{% /tab %}} +{{< /tabs >}} + +## Install the Observability Pipelines Worker +1. Select your platform in the **Choose your installation platform** dropdown menu. +1. Enter the Sumo Logic address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. +{{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_env_vars/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_env_vars/splunk_hec %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_env_vars/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} +1. Follow the instructions for your environment to install the Worker. +{{< tabs >}} +{{% tab "Docker" %}} + +{{% observability_pipelines/install_worker/docker %}} + +{{% /tab %}} +{{% tab "Amazon EKS" %}} + +{{% observability_pipelines/install_worker/amazon_eks %}} + +{{% /tab %}} +{{% tab "Azure AKS" %}} + +{{% observability_pipelines/install_worker/azure_aks %}} + +{{% /tab %}} +{{% tab "Google GKE" %}} + +{{% observability_pipelines/install_worker/google_gke %}} + +{{% /tab %}} +{{% tab "Linux (APT)" %}} + +{{% observability_pipelines/install_worker/linux_apt %}} + +{{% /tab %}} +{{% tab "Linux (RPM)" %}} + +{{% observability_pipelines/install_worker/linux_rpm %}} + +{{% /tab %}} +{{% tab "CloudFormation" %}} + +{{% observability_pipelines/install_worker/cloudformation %}} + +{{% /tab %}} +{{< /tabs >}} + +{{% observability_pipelines/log_source_configuration/sumo_logic %}} + +[1]: https://app.datadoghq.com/observability-pipelines \ No newline at end of file diff --git a/content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md b/content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md index 4d1ca1a8468e5..5079ead2df646 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md @@ -29,7 +29,7 @@ This document walks you through the following steps: {{% observability_pipelines/source_settings/splunk_tcp %}} -### Set up destinations +### Set up the destination Enter the following information based on your selected logs destination. diff --git a/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md new file mode 100644 index 0000000000000..3cb59c8b299f4 --- /dev/null +++ b/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md @@ -0,0 +1,159 @@ +--- +title: Sensitive Data Redaction for Sumo Logic Hosted Collector +kind: document +disable_toc: false +--- + +## Overview + +Sensitive data, such as credit card numbers, bank routing numbers, and API keys, can be revealed unintentionally in your logs, which can expose your organization to financial and privacy risks. + +Use the Observability Pipelines to identify, tag, and optionally redact or hash sensitive information before routing logs to different destinations and outside of your infrastructure. You can use out-of-the-box scanning rules to detect common patterns such as email addresses, credit card numbers, API keys, authorization tokens, and more. Or, create custom scanning rules using regex patterns to match sensitive information. + +Observability Pipelines support Sumo Logic Collector's HTTP Logs source. + +This document walks you through the following steps: +1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines +1. [Setting up Observability Pipelines](#set-up-observability-pipelines) +1. [Sending logs to the Observability Pipelines Worker over Sumo Logic HTTP Source](#send-logs-to-the-observability-pipelines-worker-over-sumo-logic-http-source) + +## Prerequisites + +{{% observability_pipelines/prerequisites/sumo_logic %}} + +## Set up Observability Pipelines + +1. Navigate to [Observability Pipelines][1]. +1. Select the **Sensitive Data Redaction** use case to create a new pipeline. +1. Select **Sumo Logic** as the source. + +### Set up the source + +{{% observability_pipelines/source_settings/splunk_hec %}} + +### Set up the destinations + +Enter the following information based on your selected logs destination. + +{{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_settings/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_settings/splunk_hec %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_settings/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} + +### Set up processors + +{{% observability_pipelines/processors/intro %}} + +{{% observability_pipelines/processors/filter_syntax %}} + +{{% observability_pipelines/processors/add_processors %}} + +{{< tabs >}} +{{% tab "Filter" %}} + +{{% observability_pipelines/processors/filter %}} + +{{% /tab %}} +{{% tab "Sample" %}} + +{{% observability_pipelines/processors/sample %}} + +{{% /tab %}} +{{% tab "Quota" %}} + +{{% observability_pipelines/processors/quota %}} + +{{% /tab %}} +{{% tab "Dedupe" %}} + +{{% observability_pipelines/processors/dedupe %}} + +{{% /tab %}} +{{% tab "Remap" %}} + +{{% observability_pipelines/processors/remap %}} + +{{% /tab %}} +{{% tab "Sensitive Data Scanner" %}} + +{{% observability_pipelines/processors/sensitive_data_scanner %}} + +{{% /tab %}} +{{< /tabs >}} + +## Install the Observability Pipelines Worker +1. Select your platform in the **Choose your installation platform** dropdown menu. +1. Enter the Sumo Logic address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. +{{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_env_vars/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_env_vars/splunk_hec %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_env_vars/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} +1. Follow the instructions for your environment to install the Worker. +{{< tabs >}} +{{% tab "Docker" %}} + +{{% observability_pipelines/install_worker/docker %}} + +{{% /tab %}} +{{% tab "Amazon EKS" %}} + +{{% observability_pipelines/install_worker/amazon_eks %}} + +{{% /tab %}} +{{% tab "Azure AKS" %}} + +{{% observability_pipelines/install_worker/azure_aks %}} + +{{% /tab %}} +{{% tab "Google GKE" %}} + +{{% observability_pipelines/install_worker/google_gke %}} + +{{% /tab %}} +{{% tab "Linux (APT)" %}} + +{{% observability_pipelines/install_worker/linux_apt %}} + +{{% /tab %}} +{{% tab "Linux (RPM)" %}} + +{{% observability_pipelines/install_worker/linux_rpm %}} + +{{% /tab %}} +{{% tab "CloudFormation" %}} + +{{% observability_pipelines/install_worker/cloudformation %}} + +{{% /tab %}} +{{< /tabs >}} + +{{% observability_pipelines/log_source_configuration/sumo_logic %}} + +[1]: https://app.datadoghq.com/observability-pipelines \ No newline at end of file diff --git a/content/en/observability_pipelines/split_logs/splunk_tcp.md b/content/en/observability_pipelines/split_logs/splunk_tcp.md index 471b957791b85..abb689f654ff9 100644 --- a/content/en/observability_pipelines/split_logs/splunk_tcp.md +++ b/content/en/observability_pipelines/split_logs/splunk_tcp.md @@ -33,7 +33,7 @@ This document walks you through the following steps: {{% observability_pipelines/source_settings/splunk_tcp %}} -### Set up destinations +### Set up the destinations Enter the following information based on your selected logs destination. diff --git a/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md new file mode 100644 index 0000000000000..aee0eb59beb4c --- /dev/null +++ b/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md @@ -0,0 +1,156 @@ +--- +title: Split Logs from Sumo Logic Hosted Collector +kind: document +disable_toc: false +--- + +## Overview + +Configure you Sumo Logic Hosted Collector with the HTTP Logs source to send logs to the Observability Pipelines Worker and then to different destinations based on your use case. + +This document walks you through the following steps: +1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines +1. [Setting up Observability Pipelines](#set-up-observability-pipelines) +1. [Sending logs to the Observability Pipelines Worker over Sumo Logic HTTP Source](#send-logs-to-the-observability-pipelines-worker-over-sumo-logic-http-source) + +## Prerequisites + +### Sumo Logic Hosted Collect with HTTP Logs source + +{{% observability_pipelines/prerequisites/sumo_logic %}} + +### Datadog Agent + +{{% observability_pipelines/prerequisites/datadog_agent %}} + +## Set up Observability Pipelines + +1. Navigate to [Observability Pipelines][1]. +1. Select the **Split Logs** use case to create a new pipeline. +1. Select **Sumo Logic** as the source. + +### Set up the source + +{{% observability_pipelines/source_settings/splunk_hec %}} + +### Set up the destinations + +Enter the following information based on your selected logs destination. + +{{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_settings/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_settings/splunk_hec %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_settings/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} + +### Set up processors + +{{% observability_pipelines/processors/intro %}} + +{{% observability_pipelines/processors/filter_syntax %}} + +{{% observability_pipelines/processors/add_processors %}} + +{{< tabs >}} +{{% tab "Filter" %}} + +{{% observability_pipelines/processors/filter %}} + +{{% /tab %}} +{{% tab "Sample" %}} + +{{% observability_pipelines/processors/sample %}} + +{{% /tab %}} +{{% tab "Quota" %}} + +{{% observability_pipelines/processors/quota %}} + +{{% /tab %}} +{{% tab "Dedupe" %}} + +{{% observability_pipelines/processors/dedupe %}} + +{{% /tab %}} +{{% tab "Remap" %}} + +{{% observability_pipelines/processors/remap %}} + +{{% /tab %}} +{{< /tabs >}} + +## Install the Observability Pipelines Worker +1. Select your platform in the **Choose your installation platform** dropdown menu. +1. Enter the Sumo Logic address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. +{{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_env_vars/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_env_vars/splunk_hec %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_env_vars/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} +1. Follow the instructions for your environment to install the Worker. +{{< tabs >}} +{{% tab "Docker" %}} + +{{% observability_pipelines/install_worker/docker %}} + +{{% /tab %}} +{{% tab "Amazon EKS" %}} + +{{% observability_pipelines/install_worker/amazon_eks %}} + +{{% /tab %}} +{{% tab "Azure AKS" %}} + +{{% observability_pipelines/install_worker/azure_aks %}} + +{{% /tab %}} +{{% tab "Google GKE" %}} + +{{% observability_pipelines/install_worker/google_gke %}} + +{{% /tab %}} +{{% tab "Linux (APT)" %}} + +{{% observability_pipelines/install_worker/linux_apt %}} + +{{% /tab %}} +{{% tab "Linux (RPM)" %}} + +{{% observability_pipelines/install_worker/linux_rpm %}} + +{{% /tab %}} +{{% tab "CloudFormation" %}} + +{{% observability_pipelines/install_worker/cloudformation %}} + +{{% /tab %}} +{{< /tabs >}} + +{{% observability_pipelines/log_source_configuration/sumo_logic %}} + +[1]: https://app.datadoghq.com/observability-pipelines \ No newline at end of file From 1baa773754f1810c51de46376f8b7b3b00329f27 Mon Sep 17 00:00:00 2001 From: May Lee Date: Fri, 5 Apr 2024 10:00:39 -0400 Subject: [PATCH 54/88] fix sumo logic docs --- .../archive_logs/sumo_logic_hosted_collector.md | 2 +- .../dual_ship_logs/sumo_logic_hosted_collector.md | 4 ++-- .../log_volume_control/sumo_logic_hosted_collector.md | 2 +- .../sensitive_data_redaction/sumo_logic_hosted_collector.md | 2 +- .../split_logs/sumo_logic_hosted_collector.md | 4 ++-- 5 files changed, 7 insertions(+), 7 deletions(-) diff --git a/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md index 46d114243799d..7d66d89b25f21 100644 --- a/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md @@ -53,7 +53,7 @@ This document walks you through the following steps: ### Set up the source -{{% observability_pipelines/source_settings/splunk_hec %}} +{{% observability_pipelines/source_settings/sumo_logic %}} ### Set up the destinations diff --git a/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md index 951adefd1d3b0..4643f7b664f92 100644 --- a/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md @@ -1,5 +1,5 @@ --- -title: Dual Ship Logs from Sumo Logic Hosted Collector +title: Dual Ship Logs for Sumo Logic Hosted Collector kind: document disable_toc: false --- @@ -31,7 +31,7 @@ This document walks you through the following steps: ### Set up the source -{{% observability_pipelines/source_settings/splunk_hec %}} +{{% observability_pipelines/source_settings/sumo_logic %}} ### Set up the destinations diff --git a/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md index 1d3636f04db9e..b8fa18bdbacba 100644 --- a/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md @@ -25,7 +25,7 @@ This document walks you through the following steps: ### Set up the source -{{% observability_pipelines/source_settings/splunk_hec %}} +{{% observability_pipelines/source_settings/sumo_logic %}} ### Set up the destination diff --git a/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md index 3cb59c8b299f4..35436dcf9c957 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md @@ -29,7 +29,7 @@ This document walks you through the following steps: ### Set up the source -{{% observability_pipelines/source_settings/splunk_hec %}} +{{% observability_pipelines/source_settings/sumo_logic %}} ### Set up the destinations diff --git a/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md index aee0eb59beb4c..7b7433d4972d6 100644 --- a/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md @@ -1,5 +1,5 @@ --- -title: Split Logs from Sumo Logic Hosted Collector +title: Split Logs for Sumo Logic Hosted Collector kind: document disable_toc: false --- @@ -31,7 +31,7 @@ This document walks you through the following steps: ### Set up the source -{{% observability_pipelines/source_settings/splunk_hec %}} +{{% observability_pipelines/source_settings/sumo_logic %}} ### Set up the destinations From d8ba4e7d70966f0afc46f3b720885b710f407656 Mon Sep 17 00:00:00 2001 From: May Lee Date: Fri, 5 Apr 2024 10:45:07 -0400 Subject: [PATCH 55/88] add datadog agent docs --- .../archive_logs/datadog_agent.md | 187 ++++++++++++++++++ .../archive_logs/splunk_hec.md | 15 +- .../archive_logs/splunk_tcp.md | 15 +- .../sumo_logic_hosted_collector.md | 5 + .../dual_ship_logs/datadog_agent.md | 149 ++++++++++++++ .../sumo_logic_hosted_collector.md | 2 +- .../sensitive_data_redaction/datadog_agent.md | 157 +++++++++++++++ .../split_logs/datadog_agent.md | 150 ++++++++++++++ .../destination_env_vars/datadog_archives.md | 2 +- .../{datadog.md => datadog_agent.md} | 0 .../{datadog.md => datadog_agent.md} | 0 11 files changed, 670 insertions(+), 12 deletions(-) create mode 100644 content/en/observability_pipelines/archive_logs/datadog_agent.md create mode 100644 content/en/observability_pipelines/dual_ship_logs/datadog_agent.md create mode 100644 content/en/observability_pipelines/sensitive_data_redaction/datadog_agent.md create mode 100644 content/en/observability_pipelines/split_logs/datadog_agent.md rename layouts/shortcodes/observability_pipelines/log_source_configuration/{datadog.md => datadog_agent.md} (100%) rename layouts/shortcodes/observability_pipelines/source_settings/{datadog.md => datadog_agent.md} (100%) diff --git a/content/en/observability_pipelines/archive_logs/datadog_agent.md b/content/en/observability_pipelines/archive_logs/datadog_agent.md new file mode 100644 index 0000000000000..2cf3923a95b2c --- /dev/null +++ b/content/en/observability_pipelines/archive_logs/datadog_agent.md @@ -0,0 +1,187 @@ +--- +title: Archive Logs for the Datadog Agent +kind: document +disable_toc: false +--- + +## Overview + +TKTK + +This document walks you through the following steps: +1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines +1. [Setting up Observability Pipelines](#set-up-observability-pipelines) +1. [Connect the Datadog Agent to the Observability Pipelines Worker](#connect-the-datadog-agent-to-the-observability-pipelines-worker) + +## Prerequisites + +{{% observability_pipelines/prerequisites/datadog_agent %}} + +{{% observability_pipelines/configure_log_archive/instructions %}} + +{{< tabs >}} +{{% tab "Docker" %}} + +{{% observability_pipelines/configure_log_archive/docker %}} + + +{{% /tab %}} +{{% tab "Amazon EKS" %}} + +{{% observability_pipelines/configure_log_archive/amazon_eks %}} + +{{% /tab %}} +{{% tab "Linux (APT)" %}} + +{{% observability_pipelines/configure_log_archive/linux_apt %}} + +{{% /tab %}} +{{% tab "Linux (RPM)" %}} + +{{% observability_pipelines/configure_log_archive/linux_rpm %}} + +{{% /tab %}} +{{< /tabs >}} + +{{% observability_pipelines/configure_log_archive/connect_s3_to_datadog_log_archives %}} + +## Set up Observability Pipelines + +1. Navigate to [Observability Pipelines][1]. +1. Select the **Archive Logs** use case to create a new pipeline. +1. Select **Datadog Agent** as the source. + +### Set up the source + +{{% observability_pipelines/source_settings/datadog_agent %}} + +### Set up the destinations + +Enter the following information based on your selected logs destination. + +{{< tabs >}} +{{% tab "Datadog Archives" %}} + +{{% observability_pipelines/destination_settings/datadog_archives %}} + +{{% /tab %}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_settings/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_settings/splunk_hec %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_settings/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} + +### Set up processors + +{{% observability_pipelines/processors/intro %}} + +{{% observability_pipelines/processors/filter_syntax %}} + +{{% observability_pipelines/processors/add_processors %}} +{{< tabs >}} +{{% tab "Filter" %}} + +{{% observability_pipelines/processors/filter %}} + +{{% /tab %}} +{{% tab "Sample" %}} + +{{% observability_pipelines/processors/sample %}} + +{{% /tab %}} +{{% tab "Quota" %}} + +{{% observability_pipelines/processors/quota %}} + +{{% /tab %}} +{{% tab "Dedupe" %}} + +{{% observability_pipelines/processors/dedupe %}} + +{{% /tab %}} +{{% tab "Remap" %}} + +{{% observability_pipelines/processors/remap %}} + +{{% /tab %}} +{{< /tabs >}} + +## Install the Observability Pipelines Worker +1. Select your platform in the **Choose your installation platform** dropdown menu. +1. Enter the Datadog Agent address. This is the address and port where your datadog agent is sending its logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Provide the environment variables for each of your selected destinations. +{{< tabs >}} +{{% tab "Datadog Archives" %}} + +{{% observability_pipelines/destination_env_vars/datadog_archives %}} + +{{% /tab %}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_env_vars/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_env_vars/splunk_hec %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_env_vars/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} +1. Follow the instructions for your environment to install the Worker. +{{< tabs >}} +{{% tab "Docker" %}} + +{{% observability_pipelines/install_worker/docker %}} + +{{% /tab %}} +{{% tab "Amazon EKS" %}} + +{{% observability_pipelines/install_worker/amazon_eks %}} + +{{% /tab %}} +{{% tab "Azure AKS" %}} + +{{% observability_pipelines/install_worker/azure_aks %}} + +{{% /tab %}} +{{% tab "Google GKE" %}} + +{{% observability_pipelines/install_worker/google_gke %}} + +{{% /tab %}} +{{% tab "Linux (APT)" %}} + +{{% observability_pipelines/install_worker/linux_apt %}} + +{{% /tab %}} +{{% tab "Linux (RPM)" %}} + +{{% observability_pipelines/install_worker/linux_rpm %}} + +{{% /tab %}} +{{% tab "CloudFormation" %}} + +{{% observability_pipelines/install_worker/cloudformation %}} + +{{% /tab %}} +{{< /tabs >}} + +{{% observability_pipelines/log_source_configuration/datadog_agent %}} + +[1]: https://app.datadoghq.com/observability-pipelines \ No newline at end of file diff --git a/content/en/observability_pipelines/archive_logs/splunk_hec.md b/content/en/observability_pipelines/archive_logs/splunk_hec.md index 2e9d994cc3b38..823c84aebc00d 100644 --- a/content/en/observability_pipelines/archive_logs/splunk_hec.md +++ b/content/en/observability_pipelines/archive_logs/splunk_hec.md @@ -61,6 +61,11 @@ This document walks through the following steps: Enter the following information based on your selected logs destinations. {{< tabs >}} +{{% tab "Datadog Archives" %}} + +{{% observability_pipelines/destination_settings/datadog_archives %}} + +{{% /tab %}} {{% tab "Datadog" %}} {{% observability_pipelines/destination_settings/datadog %}} @@ -75,11 +80,6 @@ Enter the following information based on your selected logs destinations. {{% observability_pipelines/destination_settings/sumo_logic %}} -{{% /tab %}} -{{% tab "Datadog Archives" %}} - -{{% observability_pipelines/destination_settings/datadog_archives %}} - {{% /tab %}} {{< /tabs >}} @@ -124,6 +124,11 @@ Enter the following information based on your selected logs destinations. 1. Enter the Splunk HEC address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. {{< tabs >}} +{{% tab "Datadog Archives" %}} + +{{% observability_pipelines/destination_settings/datadog_archives %}} + +{{% /tab %}} {{% tab "Datadog" %}} {{% observability_pipelines/destination_env_vars/datadog %}} diff --git a/content/en/observability_pipelines/archive_logs/splunk_tcp.md b/content/en/observability_pipelines/archive_logs/splunk_tcp.md index 572a1b1ca81c1..d1f7258da6bb3 100644 --- a/content/en/observability_pipelines/archive_logs/splunk_tcp.md +++ b/content/en/observability_pipelines/archive_logs/splunk_tcp.md @@ -123,6 +123,16 @@ Enter the following information based on your selected logs destination. 1. Enter the Splunk TCP address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. {{< tabs >}} +{{% tab "Datadog Archives" %}} + +{{% observability_pipelines/destination_env_vars/datadog_archives %}} + +{{% /tab %}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_env_vars/datadog %}} + +{{% /tab %}} {{% tab "Splunk HEC" %}} {{% observability_pipelines/destination_env_vars/splunk_hec %}} @@ -132,11 +142,6 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/destination_env_vars/sumo_logic %}} -{{% /tab %}} -{{% tab "Datadog" %}} - -{{% observability_pipelines/destination_env_vars/datadog %}} - {{% /tab %}} {{< /tabs >}} 1. Follow the instructions for your environment to install the Worker. diff --git a/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md index 7d66d89b25f21..a5d8f3f1472b6 100644 --- a/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md @@ -123,6 +123,11 @@ Enter the following information based on your selected logs destination. 1. Enter the Sumo Logic address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. {{< tabs >}} +{{% tab "Datadog Archives" %}} + +{{% observability_pipelines/destination_env_vars/datadog_archives %}} + +{{% /tab %}} {{% tab "Datadog" %}} {{% observability_pipelines/destination_env_vars/datadog %}} diff --git a/content/en/observability_pipelines/dual_ship_logs/datadog_agent.md b/content/en/observability_pipelines/dual_ship_logs/datadog_agent.md new file mode 100644 index 0000000000000..fda8879c509cc --- /dev/null +++ b/content/en/observability_pipelines/dual_ship_logs/datadog_agent.md @@ -0,0 +1,149 @@ +--- +title: Dual Ship Logs for the Datadog Agent +kind: document +disable_toc: false +--- + +## Overview + +TKTK + +This document walks you through the following steps: +1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines +1. [Setting up Observability Pipelines](#set-up-observability-pipelines) +1. [Connect the Datadog Agent to the Observability Pipelines Worker](#connect-the-datadog-agent-to-the-observability-pipelines-worker) + +## Prerequisites + +{{% observability_pipelines/prerequisites/datadog_agent %}} + +## Set up Observability Pipelines + +1. Navigate to [Observability Pipelines][1]. +1. Select the **Dual Ship** use case to create a new pipeline. +1. Select **Datadog Agent** as the source. + +### Set up the source + +{{% observability_pipelines/source_settings/datadog_agent %}} + +### Set up the destinations + +Enter the following information based on your selected logs destination. + +{{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_settings/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_settings/splunk_hec %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_settings/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} + +### Set up processors + +{{% observability_pipelines/processors/intro %}} + +{{% observability_pipelines/processors/filter_syntax %}} + +{{% observability_pipelines/processors/add_processors %}} +{{< tabs >}} +{{% tab "Filter" %}} + +{{% observability_pipelines/processors/filter %}} + +{{% /tab %}} +{{% tab "Sample" %}} + +{{% observability_pipelines/processors/sample %}} + +{{% /tab %}} +{{% tab "Quota" %}} + +{{% observability_pipelines/processors/quota %}} + +{{% /tab %}} +{{% tab "Dedupe" %}} + +{{% observability_pipelines/processors/dedupe %}} + +{{% /tab %}} +{{% tab "Remap" %}} + +{{% observability_pipelines/processors/remap %}} + +{{% /tab %}} +{{< /tabs >}} + +## Install the Observability Pipelines Worker +1. Select your platform in the **Choose your installation platform** dropdown menu. +1. Enter the Datadog Agent address. This is the address and port where your datadog agent is sending its logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Provide the environment variables for each of your selected destinations. +{{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_env_vars/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_env_vars/splunk_hec %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_env_vars/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} +1. Follow the instructions for your environment to install the Worker. +{{< tabs >}} +{{% tab "Docker" %}} + +{{% observability_pipelines/install_worker/docker %}} + +{{% /tab %}} +{{% tab "Amazon EKS" %}} + +{{% observability_pipelines/install_worker/amazon_eks %}} + +{{% /tab %}} +{{% tab "Azure AKS" %}} + +{{% observability_pipelines/install_worker/azure_aks %}} + +{{% /tab %}} +{{% tab "Google GKE" %}} + +{{% observability_pipelines/install_worker/google_gke %}} + +{{% /tab %}} +{{% tab "Linux (APT)" %}} + +{{% observability_pipelines/install_worker/linux_apt %}} + +{{% /tab %}} +{{% tab "Linux (RPM)" %}} + +{{% observability_pipelines/install_worker/linux_rpm %}} + +{{% /tab %}} +{{% tab "CloudFormation" %}} + +{{% observability_pipelines/install_worker/cloudformation %}} + +{{% /tab %}} +{{< /tabs >}} + +{{% observability_pipelines/log_source_configuration/datadog_agent %}} + +[1]: https://app.datadoghq.com/observability-pipelines \ No newline at end of file diff --git a/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md index 4643f7b664f92..eccbad5f66f72 100644 --- a/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md @@ -31,7 +31,7 @@ This document walks you through the following steps: ### Set up the source -{{% observability_pipelines/source_settings/sumo_logic %}} +{{% observability_pipelines/source_settings/splunk_hec %}} ### Set up the destinations diff --git a/content/en/observability_pipelines/sensitive_data_redaction/datadog_agent.md b/content/en/observability_pipelines/sensitive_data_redaction/datadog_agent.md new file mode 100644 index 0000000000000..0b6dff33b12de --- /dev/null +++ b/content/en/observability_pipelines/sensitive_data_redaction/datadog_agent.md @@ -0,0 +1,157 @@ +--- +title: Sensitive Data Redaction for the Datadog Agent +kind: document +disable_toc: false +--- + +## Overview + +Sensitive data, such as credit card numbers, bank routing numbers, and API keys, can be revealed unintentionally in your logs, which can expose your organization to financial and privacy risks. + +Use the Observability Pipelines to identify, tag, and optionally redact or hash sensitive information before routing logs to different destinations and outside of your infrastructure. You can use out-of-the-box scanning rules to detect common patterns such as email addresses, credit card numbers, API keys, authorization tokens, and more. Or, create custom scanning rules using regex patterns to match sensitive information. + +This document walks you through the following steps: +1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines +1. [Setting up Observability Pipelines](#set-up-observability-pipelines) +1. [Connect the Datadog Agent to the Observability Pipelines Worker](#connect-the-datadog-agent-to-the-observability-pipelines-worker) + +## Prerequisites + +{{% observability_pipelines/prerequisites/datadog_agent %}} + +## Set up Observability Pipelines + +1. Navigate to [Observability Pipelines][1]. +1. Select the **Sensitive Data Redaction** use case to create a new pipeline. +1. Select **Datadog Agent** as the source. + +### Set up the source + +{{% observability_pipelines/source_settings/datadog_agent %}} + +### Set up the destination + +Enter the following information based on your selected logs destination. + +{{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_settings/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_settings/splunk_hec %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_settings/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} + +### Set up processors + +{{% observability_pipelines/processors/intro %}} + +{{% observability_pipelines/processors/filter_syntax %}} + +{{% observability_pipelines/processors/add_processors %}} + +{{< tabs >}} +{{% tab "Filter" %}} + +{{% observability_pipelines/processors/filter %}} + +{{% /tab %}} +{{% tab "Sample" %}} + +{{% observability_pipelines/processors/sample %}} + +{{% /tab %}} +{{% tab "Quota" %}} + +{{% observability_pipelines/processors/quota %}} + +{{% /tab %}} +{{% tab "Dedupe" %}} + +{{% observability_pipelines/processors/dedupe %}} + +{{% /tab %}} +{{% tab "Remap" %}} + +{{% observability_pipelines/processors/remap %}} + +{{% /tab %}} +{{% tab "Sensitive Data Scanner" %}} + +{{% observability_pipelines/processors/sensitive_data_scanner %}} + +{{% /tab %}} +{{< /tabs >}} + +## Install the Observability Pipelines Worker +1. Select your platform in the **Choose your installation platform** dropdown menu. +1. Enter the Datadog Agent address. This is the address and port where your datadog agent is sending its logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Provide the environment variables for each of your selected destinations. +{{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_env_vars/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_env_vars/splunk_hec %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_env_vars/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} +1. Follow the instructions for your environment to install the Worker. +{{< tabs >}} +{{% tab "Docker" %}} + +{{% observability_pipelines/install_worker/docker %}} + +{{% /tab %}} +{{% tab "Amazon EKS" %}} + +{{% observability_pipelines/install_worker/amazon_eks %}} + +{{% /tab %}} +{{% tab "Azure AKS" %}} + +{{% observability_pipelines/install_worker/azure_aks %}} + +{{% /tab %}} +{{% tab "Google GKE" %}} + +{{% observability_pipelines/install_worker/google_gke %}} + +{{% /tab %}} +{{% tab "Linux (APT)" %}} + +{{% observability_pipelines/install_worker/linux_apt %}} + +{{% /tab %}} +{{% tab "Linux (RPM)" %}} + +{{% observability_pipelines/install_worker/linux_rpm %}} + +{{% /tab %}} +{{% tab "CloudFormation" %}} + +{{% observability_pipelines/install_worker/cloudformation %}} + +{{% /tab %}} +{{< /tabs >}} + +{{% observability_pipelines/log_source_configuration/datadog_agent %}} + +[1]: https://app.datadoghq.com/observability-pipelines \ No newline at end of file diff --git a/content/en/observability_pipelines/split_logs/datadog_agent.md b/content/en/observability_pipelines/split_logs/datadog_agent.md new file mode 100644 index 0000000000000..5c2200f742a79 --- /dev/null +++ b/content/en/observability_pipelines/split_logs/datadog_agent.md @@ -0,0 +1,150 @@ +--- +title: Split Logs for the Datadog Agent +kind: document +disable_toc: false +--- + +## Overview + +TKTK + +This document walks you through the following steps: +1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines +1. [Setting up Observability Pipelines](#set-up-observability-pipelines) +1. [Connect the Datadog Agent to the Observability Pipelines Worker](#connect-the-datadog-agent-to-the-observability-pipelines-worker) + +## Prerequisites + +{{% observability_pipelines/prerequisites/datadog_agent %}} + +## Set up Observability Pipelines + +1. Navigate to [Observability Pipelines][1]. +1. Select the **Split Logs** use case to create a new pipeline. +1. Select **Datadog Agent** as the source. + +### Set up the source + +{{% observability_pipelines/source_settings/datadog_agent %}} + +### Set up the destinations + +Enter the following information based on your selected logs destination. + +{{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_settings/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_settings/splunk_hec %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_settings/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} + +### Set up processors + +{{% observability_pipelines/processors/intro %}} + +{{% observability_pipelines/processors/filter_syntax %}} + +{{% observability_pipelines/processors/add_processors %}} + +{{< tabs >}} +{{% tab "Filter" %}} + +{{% observability_pipelines/processors/filter %}} + +{{% /tab %}} +{{% tab "Sample" %}} + +{{% observability_pipelines/processors/sample %}} + +{{% /tab %}} +{{% tab "Quota" %}} + +{{% observability_pipelines/processors/quota %}} + +{{% /tab %}} +{{% tab "Dedupe" %}} + +{{% observability_pipelines/processors/dedupe %}} + +{{% /tab %}} +{{% tab "Remap" %}} + +{{% observability_pipelines/processors/remap %}} + +{{% /tab %}} +{{< /tabs >}} + +## Install the Observability Pipelines Worker +1. Select your platform in the **Choose your installation platform** dropdown menu. +1. Enter the Datadog Agent address. This is the address and port where your datadog agent is sending its logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Provide the environment variables for each of your selected destinations. +{{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_env_vars/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/destination_env_vars/splunk_hec %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/destination_env_vars/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} +1. Follow the instructions for your environment to install the Worker. +{{< tabs >}} +{{% tab "Docker" %}} + +{{% observability_pipelines/install_worker/docker %}} + +{{% /tab %}} +{{% tab "Amazon EKS" %}} + +{{% observability_pipelines/install_worker/amazon_eks %}} + +{{% /tab %}} +{{% tab "Azure AKS" %}} + +{{% observability_pipelines/install_worker/azure_aks %}} + +{{% /tab %}} +{{% tab "Google GKE" %}} + +{{% observability_pipelines/install_worker/google_gke %}} + +{{% /tab %}} +{{% tab "Linux (APT)" %}} + +{{% observability_pipelines/install_worker/linux_apt %}} + +{{% /tab %}} +{{% tab "Linux (RPM)" %}} + +{{% observability_pipelines/install_worker/linux_rpm %}} + +{{% /tab %}} +{{% tab "CloudFormation" %}} + +{{% observability_pipelines/install_worker/cloudformation %}} + +{{% /tab %}} +{{< /tabs >}} + +{{% observability_pipelines/log_source_configuration/datadog_agent %}} + +[1]: https://app.datadoghq.com/observability-pipelines \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/destination_env_vars/datadog_archives.md b/layouts/shortcodes/observability_pipelines/destination_env_vars/datadog_archives.md index 684105278ee95..aa61311fbb6f2 100644 --- a/layouts/shortcodes/observability_pipelines/destination_env_vars/datadog_archives.md +++ b/layouts/shortcodes/observability_pipelines/destination_env_vars/datadog_archives.md @@ -1 +1 @@ -Enter the AWS Access key ID and AWS secret access key for the S3 archive bucket you created earlier. You select your Datadog API key in the next step, when you install the Worker. \ No newline at end of file +Enter the AWS Access key ID and AWS secret access key for the S3 archive bucket you created earlier. \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/log_source_configuration/datadog.md b/layouts/shortcodes/observability_pipelines/log_source_configuration/datadog_agent.md similarity index 100% rename from layouts/shortcodes/observability_pipelines/log_source_configuration/datadog.md rename to layouts/shortcodes/observability_pipelines/log_source_configuration/datadog_agent.md diff --git a/layouts/shortcodes/observability_pipelines/source_settings/datadog.md b/layouts/shortcodes/observability_pipelines/source_settings/datadog_agent.md similarity index 100% rename from layouts/shortcodes/observability_pipelines/source_settings/datadog.md rename to layouts/shortcodes/observability_pipelines/source_settings/datadog_agent.md From b15c46aa1b8656d5b69b6dafd3cf1d9409ffb03f Mon Sep 17 00:00:00 2001 From: May Lee Date: Fri, 5 Apr 2024 10:58:57 -0400 Subject: [PATCH 56/88] make titles consistent --- content/en/observability_pipelines/archive_logs/splunk_hec.md | 2 +- .../archive_logs/sumo_logic_hosted_collector.md | 2 +- content/en/observability_pipelines/dual_ship_logs/splunk_hec.md | 2 +- .../dual_ship_logs/sumo_logic_hosted_collector.md | 2 +- .../en/observability_pipelines/log_volume_control/splunk_hec.md | 2 +- .../log_volume_control/sumo_logic_hosted_collector.md | 2 +- .../sensitive_data_redaction/splunk_hec.md | 2 +- .../sensitive_data_redaction/sumo_logic_hosted_collector.md | 2 +- content/en/observability_pipelines/split_logs/splunk_hec.md | 2 +- .../split_logs/sumo_logic_hosted_collector.md | 2 +- 10 files changed, 10 insertions(+), 10 deletions(-) diff --git a/content/en/observability_pipelines/archive_logs/splunk_hec.md b/content/en/observability_pipelines/archive_logs/splunk_hec.md index 823c84aebc00d..b1a9d1ff354ea 100644 --- a/content/en/observability_pipelines/archive_logs/splunk_hec.md +++ b/content/en/observability_pipelines/archive_logs/splunk_hec.md @@ -1,5 +1,5 @@ --- -title: Archive Logs for Splunk HTTP Event Collector (HEC) +title: Archive Logs for the Splunk HTTP Event Collector (HEC) kind: document disable_toc: false --- diff --git a/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md index a5d8f3f1472b6..7d5091a7990fb 100644 --- a/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md @@ -1,5 +1,5 @@ --- -title: Archive Logs for Sumo Logic Hosted Collector +title: Archive Logs for the Sumo Logic Hosted Collector with HTTP Logs Source kind: document disable_toc: false --- diff --git a/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md b/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md index dcc63a6563a34..19a7e4dba7ea4 100644 --- a/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md +++ b/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md @@ -1,5 +1,5 @@ --- -title: Dual Ship Logs from Splunk HTTP Event Collector (HEC) +title: Dual Ship Logs for the Splunk HTTP Event Collector (HEC) kind: document disable_toc: false --- diff --git a/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md index eccbad5f66f72..2a929659c15dc 100644 --- a/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md @@ -1,5 +1,5 @@ --- -title: Dual Ship Logs for Sumo Logic Hosted Collector +title: Dual Ship Logs for the Sumo Logic Hosted Collector with HTTP Logs Source kind: document disable_toc: false --- diff --git a/content/en/observability_pipelines/log_volume_control/splunk_hec.md b/content/en/observability_pipelines/log_volume_control/splunk_hec.md index 5316adc13f384..07c8f8bb00995 100644 --- a/content/en/observability_pipelines/log_volume_control/splunk_hec.md +++ b/content/en/observability_pipelines/log_volume_control/splunk_hec.md @@ -1,5 +1,5 @@ --- -title: Log Volume Control for Splunk HTTP Event Collector (HEC) +title: Log Volume Control for the Splunk HTTP Event Collector (HEC) kind: document disable_toc: false --- diff --git a/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md index b8fa18bdbacba..0c3c73fe9ea3a 100644 --- a/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md @@ -1,5 +1,5 @@ --- -title: Log Volume Control for Sumo Logic Hosted Collector +title: Log Volume Control for the Sumo Logic Hosted Collector with HTTP Logs Source kind: document disable_toc: false --- diff --git a/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md b/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md index f5771bf182d46..044c4079cf5e8 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md @@ -1,5 +1,5 @@ --- -title: Sensitive Data Redaction for Splunk HTTP Event Collector (HEC) +title: Sensitive Data Redaction for the Splunk HTTP Event Collector (HEC) kind: document disable_toc: false --- diff --git a/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md index 35436dcf9c957..4ac6d66f3bf5e 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md @@ -1,5 +1,5 @@ --- -title: Sensitive Data Redaction for Sumo Logic Hosted Collector +title: Sensitive Data Redaction for the Sumo Logic Hosted Collector with HTTP Logs Source kind: document disable_toc: false --- diff --git a/content/en/observability_pipelines/split_logs/splunk_hec.md b/content/en/observability_pipelines/split_logs/splunk_hec.md index 1053cf14ab72a..dc48930a8c7bb 100644 --- a/content/en/observability_pipelines/split_logs/splunk_hec.md +++ b/content/en/observability_pipelines/split_logs/splunk_hec.md @@ -1,5 +1,5 @@ --- -title: Split Logs for Splunk HTTP Event Collector (HEC) +title: Split Logs for the Splunk HTTP Event Collector (HEC) kind: document disable_toc: false --- diff --git a/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md index 7b7433d4972d6..c5754a2d2cd96 100644 --- a/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md @@ -1,5 +1,5 @@ --- -title: Split Logs for Sumo Logic Hosted Collector +title: Split Logs for the Sumo Logic Hosted Collector with HTTP Logs Source kind: document disable_toc: false --- From 701774b5af9b7639dc9c9f2b8c2168d79fce3e04 Mon Sep 17 00:00:00 2001 From: May Lee Date: Fri, 5 Apr 2024 12:23:14 -0400 Subject: [PATCH 57/88] consistency edits --- .../archive_logs/datadog_agent.md | 3 ++- .../archive_logs/splunk_hec.md | 2 +- .../archive_logs/splunk_tcp.md | 3 ++- .../archive_logs/sumo_logic_hosted_collector.md | 3 ++- .../dual_ship_logs/datadog_agent.md | 2 +- .../dual_ship_logs/splunk_tcp.md | 2 +- .../dual_ship_logs/sumo_logic_hosted_collector.md | 2 +- .../legacy/setup/datadog_with_archiving.md | 2 +- .../log_volume_control/splunk_tcp.md | 14 +++++++------- .../sumo_logic_hosted_collector.md | 2 +- .../sensitive_data_redaction/datadog_agent.md | 2 +- .../sensitive_data_redaction/splunk_tcp.md | 12 ++++++------ .../sumo_logic_hosted_collector.md | 2 +- .../split_logs/datadog_agent.md | 2 +- .../split_logs/splunk_tcp.md | 12 ++++++------ .../split_logs/sumo_logic_hosted_collector.md | 2 +- .../configure_log_archive/docker.md | 2 +- .../configure_log_archive/instructions.md | 2 ++ .../configure_log_archive/linux_rpm.md | 2 +- .../log_source_configuration/sumo_logic.md | 2 +- 20 files changed, 40 insertions(+), 35 deletions(-) diff --git a/content/en/observability_pipelines/archive_logs/datadog_agent.md b/content/en/observability_pipelines/archive_logs/datadog_agent.md index 2cf3923a95b2c..900370b7b2a08 100644 --- a/content/en/observability_pipelines/archive_logs/datadog_agent.md +++ b/content/en/observability_pipelines/archive_logs/datadog_agent.md @@ -10,6 +10,7 @@ TKTK This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines +1. [Configuring a Log Archive](#configure-a-log-archive) 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) 1. [Connect the Datadog Agent to the Observability Pipelines Worker](#connect-the-datadog-agent-to-the-observability-pipelines-worker) @@ -117,7 +118,7 @@ Enter the following information based on your selected logs destination. {{% /tab %}} {{< /tabs >}} -## Install the Observability Pipelines Worker +### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. 1. Enter the Datadog Agent address. This is the address and port where your datadog agent is sending its logging data to. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. diff --git a/content/en/observability_pipelines/archive_logs/splunk_hec.md b/content/en/observability_pipelines/archive_logs/splunk_hec.md index b1a9d1ff354ea..14be7632eef90 100644 --- a/content/en/observability_pipelines/archive_logs/splunk_hec.md +++ b/content/en/observability_pipelines/archive_logs/splunk_hec.md @@ -126,7 +126,7 @@ Enter the following information based on your selected logs destinations. {{< tabs >}} {{% tab "Datadog Archives" %}} -{{% observability_pipelines/destination_settings/datadog_archives %}} +{{% observability_pipelines/destination_env_vars/datadog_archives %}} {{% /tab %}} {{% tab "Datadog" %}} diff --git a/content/en/observability_pipelines/archive_logs/splunk_tcp.md b/content/en/observability_pipelines/archive_logs/splunk_tcp.md index d1f7258da6bb3..5289365c69583 100644 --- a/content/en/observability_pipelines/archive_logs/splunk_tcp.md +++ b/content/en/observability_pipelines/archive_logs/splunk_tcp.md @@ -10,6 +10,7 @@ Configure your Splunk Universal/Heavy Forwarder so that the Observability Pipeli This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines +1. [Configuring a Log Archive](#configure-a-log-archive) 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) 1. [Connect Splunk Forwarder to the Observability Pipelines Worker](#connect-splunk-forwarder-to-the-observability-pipelines-worker) @@ -118,7 +119,7 @@ Enter the following information based on your selected logs destination. {{% /tab %}} {{< /tabs >}} -## Install the Observability Pipelines Worker +### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. 1. Enter the Splunk TCP address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. diff --git a/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md index 7d5091a7990fb..aa8ecc228c476 100644 --- a/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md @@ -10,6 +10,7 @@ Configure your Sumo Logic Hosted Collector with the HTTP Logs source so that the This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines +1. [Configuring a Log Archive](#configure-a-log-archive) 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) 1. [Sending logs to the Observability Pipelines Worker over Sumo Logic HTTP Source](#send-logs-to-the-observability-pipelines-worker-over-sumo-logic-http-source) @@ -118,7 +119,7 @@ Enter the following information based on your selected logs destination. {{% /tab %}} {{< /tabs >}} -## Install the Observability Pipelines Worker +### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. 1. Enter the Sumo Logic address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. diff --git a/content/en/observability_pipelines/dual_ship_logs/datadog_agent.md b/content/en/observability_pipelines/dual_ship_logs/datadog_agent.md index fda8879c509cc..da22307be4c75 100644 --- a/content/en/observability_pipelines/dual_ship_logs/datadog_agent.md +++ b/content/en/observability_pipelines/dual_ship_logs/datadog_agent.md @@ -84,7 +84,7 @@ Enter the following information based on your selected logs destination. {{% /tab %}} {{< /tabs >}} -## Install the Observability Pipelines Worker +### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. 1. Enter the Datadog Agent address. This is the address and port where your datadog agent is sending its logging data to. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. diff --git a/content/en/observability_pipelines/dual_ship_logs/splunk_tcp.md b/content/en/observability_pipelines/dual_ship_logs/splunk_tcp.md index 1561150b6e06b..183405f39a7c6 100644 --- a/content/en/observability_pipelines/dual_ship_logs/splunk_tcp.md +++ b/content/en/observability_pipelines/dual_ship_logs/splunk_tcp.md @@ -91,7 +91,7 @@ Enter the following information based on your selected logs destination. {{% /tab %}} {{< /tabs >}} -## Install the Observability Pipelines Worker +### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. 1. Enter the Splunk TCP address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. diff --git a/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md index 2a929659c15dc..5982e9a449086 100644 --- a/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md @@ -91,7 +91,7 @@ Enter the following information based on your selected logs destination. {{% /tab %}} {{< /tabs >}} -## Install the Observability Pipelines Worker +### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. 1. Enter the Sumo Logic address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. diff --git a/content/en/observability_pipelines/legacy/setup/datadog_with_archiving.md b/content/en/observability_pipelines/legacy/setup/datadog_with_archiving.md index a5f6b1fda2cff..4a4c4538ce9ac 100644 --- a/content/en/observability_pipelines/legacy/setup/datadog_with_archiving.md +++ b/content/en/observability_pipelines/legacy/setup/datadog_with_archiving.md @@ -171,7 +171,7 @@ You need to connect the S3 bucket you created earlier to Datadog Log Archives so See the [Log Archives documentation][7] for additional information. -## Install the Observability Pipelines Worker +### Install the Observability Pipelines Worker {{< tabs >}} {{% tab "Docker" %}} diff --git a/content/en/observability_pipelines/log_volume_control/splunk_tcp.md b/content/en/observability_pipelines/log_volume_control/splunk_tcp.md index ea581da25bbe8..a909be0e47774 100644 --- a/content/en/observability_pipelines/log_volume_control/splunk_tcp.md +++ b/content/en/observability_pipelines/log_volume_control/splunk_tcp.md @@ -19,7 +19,7 @@ This document walks you through the following steps to set up the Observability ## Set up Observability Pipelines 1. Navigate to [Observability Pipelines][1]. -1. Select the **USECASENAME** use case to create a new pipeline. +1. Select the **Log Volume** use case to create a new pipeline. 1. Select **Splunk TCP** as the source. ### Set up the source @@ -84,11 +84,16 @@ Enter the following information based on your selected logs destination. {{% /tab %}} {{< /tabs >}} -## Install the Observability Pipelines Worker +### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. 1. Enter the Splunk TCP address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. {{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_env_vars/datadog %}} + +{{% /tab %}} {{% tab "Splunk HEC" %}} {{% observability_pipelines/destination_env_vars/splunk_hec %}} @@ -98,11 +103,6 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/destination_env_vars/sumo_logic %}} -{{% /tab %}} -{{% tab "Datadog" %}} - -{{% observability_pipelines/destination_env_vars/datadog %}} - {{% /tab %}} {{< /tabs >}} 1. Follow the instructions for your environment to install the Worker. diff --git a/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md index 0c3c73fe9ea3a..7ce5c26800aaa 100644 --- a/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md @@ -85,7 +85,7 @@ Enter the following information based on your selected logs destination. {{% /tab %}} {{< /tabs >}} -## Install the Observability Pipelines Worker +### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. 1. Enter the Sumo Logic address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. diff --git a/content/en/observability_pipelines/sensitive_data_redaction/datadog_agent.md b/content/en/observability_pipelines/sensitive_data_redaction/datadog_agent.md index 0b6dff33b12de..f07bbfc69116b 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/datadog_agent.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/datadog_agent.md @@ -92,7 +92,7 @@ Enter the following information based on your selected logs destination. {{% /tab %}} {{< /tabs >}} -## Install the Observability Pipelines Worker +### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. 1. Enter the Datadog Agent address. This is the address and port where your datadog agent is sending its logging data to. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. diff --git a/content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md b/content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md index 5079ead2df646..11cc6bd12b078 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md @@ -92,11 +92,16 @@ Enter the following information based on your selected logs destination. {{% /tab %}} {{< /tabs >}} -## Install the Observability Pipelines Worker +### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. 1. Enter the Splunk TCP address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. {{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_env_vars/datadog %}} + +{{% /tab %}} {{% tab "Splunk HEC" %}} {{% observability_pipelines/destination_env_vars/splunk_hec %}} @@ -106,11 +111,6 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/destination_env_vars/sumo_logic %}} -{{% /tab %}} -{{% tab "Datadog" %}} - -{{% observability_pipelines/destination_env_vars/datadog %}} - {{% /tab %}} {{< /tabs >}} 1. Follow the instructions for your environment to install the Worker. diff --git a/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md index 4ac6d66f3bf5e..215b25ffc3c4f 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md @@ -94,7 +94,7 @@ Enter the following information based on your selected logs destination. {{% /tab %}} {{< /tabs >}} -## Install the Observability Pipelines Worker +### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. 1. Enter the Sumo Logic address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. diff --git a/content/en/observability_pipelines/split_logs/datadog_agent.md b/content/en/observability_pipelines/split_logs/datadog_agent.md index 5c2200f742a79..9176e8af29865 100644 --- a/content/en/observability_pipelines/split_logs/datadog_agent.md +++ b/content/en/observability_pipelines/split_logs/datadog_agent.md @@ -85,7 +85,7 @@ Enter the following information based on your selected logs destination. {{% /tab %}} {{< /tabs >}} -## Install the Observability Pipelines Worker +### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. 1. Enter the Datadog Agent address. This is the address and port where your datadog agent is sending its logging data to. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. diff --git a/content/en/observability_pipelines/split_logs/splunk_tcp.md b/content/en/observability_pipelines/split_logs/splunk_tcp.md index abb689f654ff9..b722df8bce1bb 100644 --- a/content/en/observability_pipelines/split_logs/splunk_tcp.md +++ b/content/en/observability_pipelines/split_logs/splunk_tcp.md @@ -91,11 +91,16 @@ Enter the following information based on your selected logs destination. {{% /tab %}} {{< /tabs >}} -## Install the Observability Pipelines Worker +### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. 1. Enter the Splunk TCP address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. {{< tabs >}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/destination_env_vars/datadog %}} + +{{% /tab %}} {{% tab "Splunk HEC" %}} {{% observability_pipelines/destination_env_vars/splunk_hec %}} @@ -105,11 +110,6 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/destination_env_vars/sumo_logic %}} -{{% /tab %}} -{{% tab "Datadog" %}} - -{{% observability_pipelines/destination_env_vars/datadog %}} - {{% /tab %}} {{< /tabs >}} 1. Follow the instructions for your environment to install the Worker. diff --git a/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md index c5754a2d2cd96..71ec01f285df2 100644 --- a/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md @@ -91,7 +91,7 @@ Enter the following information based on your selected logs destination. {{% /tab %}} {{< /tabs >}} -## Install the Observability Pipelines Worker +### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. 1. Enter the Sumo Logic address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. diff --git a/layouts/shortcodes/observability_pipelines/configure_log_archive/docker.md b/layouts/shortcodes/observability_pipelines/configure_log_archive/docker.md index 0e1e8cda9d41c..7bb872bced594 100644 --- a/layouts/shortcodes/observability_pipelines/configure_log_archive/docker.md +++ b/layouts/shortcodes/observability_pipelines/configure_log_archive/docker.md @@ -13,7 +13,7 @@ Create an IAM user and attach the IAM policy you created earlier to it. 1. Optionally, add tags. 1. Click **Create user**. -Create access credentials for the new IAM user. The AWS access key and AWS secret access key are added later as environment variables when you install the Observability Pipelines Worker. +Create access credentials for the new IAM user. The AWS access key and AWS secret access key are added as environment variables in the [Install the Observability Pipelines Worker](#install-the-observability-pipelines-worker) step. [301]: https://console.aws.amazon.com/iam/ \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/configure_log_archive/instructions.md b/layouts/shortcodes/observability_pipelines/configure_log_archive/instructions.md index 4861a972f749f..74b8f5abebb4f 100644 --- a/layouts/shortcodes/observability_pipelines/configure_log_archive/instructions.md +++ b/layouts/shortcodes/observability_pipelines/configure_log_archive/instructions.md @@ -1,5 +1,7 @@ ## Configure a Log Archive +If you already have a Datadog Log Archive configured, skip to [Set up Observability Pipelines](#set-up-observability-pipelines). + ### Create an Amazon S3 bucket 1. Navigate to [Amazon S3 buckets][401]. diff --git a/layouts/shortcodes/observability_pipelines/configure_log_archive/linux_rpm.md b/layouts/shortcodes/observability_pipelines/configure_log_archive/linux_rpm.md index a0c91b74e579e..937d97bc85856 100644 --- a/layouts/shortcodes/observability_pipelines/configure_log_archive/linux_rpm.md +++ b/layouts/shortcodes/observability_pipelines/configure_log_archive/linux_rpm.md @@ -13,6 +13,6 @@ Create an IAM user and attach the IAM policy you created earlier to it. 1. Optionally, add tags. 1. Click **Create user**. -Create access credentials for the new IAM user. The AWS access key and AWS secret access key are added later as environment variables when you install the Observability Pipelines Worker. +Create access credentials for the new IAM user. The AWS access key and AWS secret access key are added as environment variables in the [Install the Observability Pipelines Worker](#install-the-observability-pipelines-worker) step. [1001]: https://console.aws.amazon.com/iam/ \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/log_source_configuration/sumo_logic.md b/layouts/shortcodes/observability_pipelines/log_source_configuration/sumo_logic.md index 75b22e62542e5..97cd798fe7aae 100644 --- a/layouts/shortcodes/observability_pipelines/log_source_configuration/sumo_logic.md +++ b/layouts/shortcodes/observability_pipelines/log_source_configuration/sumo_logic.md @@ -1,6 +1,6 @@ ## Send logs to the Observability Pipelines Worker over Sumo Logic HTTP Source -After you install the Observability Pipelines Worker and deploy the configuration, the Worker exposes HTTP endpoints that uses the [Sumo Logic Http Source API][1001]. +After you install the Observability Pipelines Worker and deploy the configuration, the Worker exposes HTTP endpoints that uses the [Sumo Logic HTTP Source API][1001]. To send logs to your Sumo Logic HTTP Source, you must point your existing logs upstream to the Worker: ```shell From 2aa99f3a37a9e6d2894b4e2d9719184b262d4d14 Mon Sep 17 00:00:00 2001 From: May Lee Date: Fri, 5 Apr 2024 12:35:47 -0400 Subject: [PATCH 58/88] add dd overviews --- .../observability_pipelines/archive_logs/datadog_agent.md | 2 +- .../en/observability_pipelines/archive_logs/splunk_hec.md | 7 +++---- .../dual_ship_logs/datadog_agent.md | 2 +- .../en/observability_pipelines/split_logs/datadog_agent.md | 2 +- .../en/observability_pipelines/split_logs/splunk_hec.md | 7 +++---- 5 files changed, 9 insertions(+), 11 deletions(-) diff --git a/content/en/observability_pipelines/archive_logs/datadog_agent.md b/content/en/observability_pipelines/archive_logs/datadog_agent.md index 900370b7b2a08..31b4859bf309c 100644 --- a/content/en/observability_pipelines/archive_logs/datadog_agent.md +++ b/content/en/observability_pipelines/archive_logs/datadog_agent.md @@ -6,7 +6,7 @@ disable_toc: false ## Overview -TKTK +Configure your Datadog Agent so that the Observability Pipelines Worker formats the logs collected into a Datadog-rehydratable format before routing them to Datadog Log Archives. This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines diff --git a/content/en/observability_pipelines/archive_logs/splunk_hec.md b/content/en/observability_pipelines/archive_logs/splunk_hec.md index 14be7632eef90..d597a08049af5 100644 --- a/content/en/observability_pipelines/archive_logs/splunk_hec.md +++ b/content/en/observability_pipelines/archive_logs/splunk_hec.md @@ -6,7 +6,7 @@ disable_toc: false ## Overview -Configure your Splunk HTTP Event Collector (HEC) so that the Observability Pipelines Worker formats the logs collected into a Datadog-rehydratable format before routing them to Datadog Log Archives. See [Archive Logs from Splunk Heavy and Universal Forwarders][1] if you want to archives logs from your Splunk Heavy or Splunk Universal Forwarders. +Configure your Splunk HTTP Event Collector (HEC) so that the Observability Pipelines Worker formats the logs collected into a Datadog-rehydratable format before routing them to Datadog Log Archives. This document walks through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines @@ -48,7 +48,7 @@ This document walks through the following steps: ## Set up Observability Pipelines -1. Navigate to [Observability Pipelines][6]. +1. Navigate to [Observability Pipelines][1]. 1. Select the **Archive Logs** use case to create a new pipeline. 1. Select **Splunk HEC** as the source. @@ -187,5 +187,4 @@ Enter the following information based on your selected logs destinations. {{% observability_pipelines/log_source_configuration/splunk_hec %}} -[1]: /archive_logs/splunk_tcp/ -[6]: https://app.datadoghq.com/observability-pipelines +[1]: https://app.datadoghq.com/observability-pipelines diff --git a/content/en/observability_pipelines/dual_ship_logs/datadog_agent.md b/content/en/observability_pipelines/dual_ship_logs/datadog_agent.md index da22307be4c75..f8e757910c0f1 100644 --- a/content/en/observability_pipelines/dual_ship_logs/datadog_agent.md +++ b/content/en/observability_pipelines/dual_ship_logs/datadog_agent.md @@ -6,7 +6,7 @@ disable_toc: false ## Overview -TKTK +Configure the Datadog Agent and set up Observability Pipelines so that the Observability Pipelines Worker aggregates and processes the logs coming from your upstream sources before routing them to various applications. This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines diff --git a/content/en/observability_pipelines/split_logs/datadog_agent.md b/content/en/observability_pipelines/split_logs/datadog_agent.md index 9176e8af29865..71d4e798ff9df 100644 --- a/content/en/observability_pipelines/split_logs/datadog_agent.md +++ b/content/en/observability_pipelines/split_logs/datadog_agent.md @@ -6,7 +6,7 @@ disable_toc: false ## Overview -TKTK +Configure your Datadog Agent to send logs to the Observability Pipelines Worker and then process and route them to different destinations based on your use case. This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines diff --git a/content/en/observability_pipelines/split_logs/splunk_hec.md b/content/en/observability_pipelines/split_logs/splunk_hec.md index dc48930a8c7bb..4df351cc4e727 100644 --- a/content/en/observability_pipelines/split_logs/splunk_hec.md +++ b/content/en/observability_pipelines/split_logs/splunk_hec.md @@ -6,7 +6,7 @@ disable_toc: false ## Overview -Configure your Splunk HTTP Event Collectors (HEC) to send logs to the Observability Pipelines Worker and then to different destinations based on your use case. See [Split logs from Splunk Heavy and Universal Forwarders][1] if you want to use Splunk Heavy or Universal Forwarders. +Configure your Splunk HTTP Event Collectors (HEC) to send logs to the Observability Pipelines Worker and then to different destinations based on your use case. This document walks you through the following setup steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines @@ -25,7 +25,7 @@ This document walks you through the following setup steps: ## Set up Observability Pipelines -1. Navigate to [Observability Pipelines][2]. +1. Navigate to [Observability Pipelines][1]. 1. Select the **Split Logs** use case to create a new pipeline. 1. Select **Splunk HEC** as the source. @@ -154,5 +154,4 @@ Enter the following information based on your selected logs destinations. {{% observability_pipelines/log_source_configuration/splunk_hec %}} -[1]: /split_logs/splunk_tcp/ -[2]: https://app.datadoghq.com/observability-pipelines \ No newline at end of file +[1]: https://app.datadoghq.com/observability-pipelines \ No newline at end of file From a2de9202d2ab07eb7d488bc836d830cab638396d Mon Sep 17 00:00:00 2001 From: May Lee Date: Fri, 5 Apr 2024 12:43:16 -0400 Subject: [PATCH 59/88] add cloudformation table --- .../install_worker/cloudformation.md | 13 ++++++++----- 1 file changed, 8 insertions(+), 5 deletions(-) diff --git a/layouts/shortcodes/observability_pipelines/install_worker/cloudformation.md b/layouts/shortcodes/observability_pipelines/install_worker/cloudformation.md index d56fc977bc929..360e09ec63a29 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/cloudformation.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/cloudformation.md @@ -1,9 +1,12 @@ 1. Select one of the options in the dropdown to provide the expected log volume for the pipeline: - - Unsure - Use this option if you are not able to project the log volume or you want to test the Worker. This option provisions the EC2 AutoScaling group with a maximum of 2 general purpose instances `t4g.large`. - - 1-5 TB/day - This option provisions the EC2 AutoScaling group with a maximum of 2 compute optimized instances `c6g.large`. - - 5-10 TB/day - This option provisions the EC2 AutoScaling group with a minimum of 2 and a maximum of 5 compute optimized instances `c6g.large`. - - >10 TB/day - Datadog recommends this option for large-scale production deployments. It provisions the EC2 AutoScaling group with a minimum of 2 and a maximum of 10 compute optimized instances `c6g.xlarge`. - - **Note**: All other parameters are set to reasonable defaults for a Worker deployment but you can adjust them for your use case as needed in the AWS Console before creating the stack. +| Option | Description | +| ---------- | ----------- | +| Unsure | Use this option if you are not able to project the log volume or you want to test the Worker. This option provisions the EC2 AutoScaling group with a maximum of 2 general purpose instances `t4g.large`. | +| 1-5 TB/day | This option provisions the EC2 AutoScaling group with a maximum of 2 compute optimized instances `c6g.large`. | +| 5-10 TB/day | This option provisions the EC2 AutoScaling group with a minimum of 2 and a maximum of 5 compute optimized instances `c6g.large`. | +| >10 TB/day | Datadog recommends this option for large-scale production deployments. It provisions the EC2 AutoScaling group with a minimum of 2 and a maximum of 10 compute optimized instances `c6g.xlarge`. | + + **Note**: All other parameters are set to reasonable defaults for a Worker deployment but you can adjust them for your use case as needed in the AWS Console before creating the stack. 1. Select the AWS region you want to use to install the Worker. 1. Click **Select API key** to choose the Datadog API key you want to use. 1. Click **Launch CloudFormation Template** to navigate to the AWS Console to review the stack configuration and then launch it. Make sure the CloudFormation parameters are as expected. From 8a8a8a5ebde6319b4931ad96c7609774fc1e5b33 Mon Sep 17 00:00:00 2001 From: May Lee Date: Fri, 5 Apr 2024 13:47:38 -0400 Subject: [PATCH 60/88] fix landing page links --- content/en/observability_pipelines/_index.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/content/en/observability_pipelines/_index.md b/content/en/observability_pipelines/_index.md index 6e5359011f83b..80cb188f8d3b1 100644 --- a/content/en/observability_pipelines/_index.md +++ b/content/en/observability_pipelines/_index.md @@ -26,7 +26,7 @@ The following sources are available: - Datadog Agent - Splunk HTTP Event Collector (HEC) -- Splunk Forwarders (TCP) +- Splunk Heavy and Universal Forwarders (TCP) - Sumo Logic Host Collector ## Get started @@ -43,5 +43,5 @@ The following sources are available: [1]: /observability_pipelines/log_volume_control/ [2]: /observability_pipelines/dual_ship_logs/ [3]: /observability_pipelines/split_logs/ -[4]: /observability_pipelines/archives_logs/ -[5]: /observability_pipelines/sensitive_data_scanner/ \ No newline at end of file +[4]: /observability_pipelines/archive_logs/ +[5]: /observability_pipelines/sensitive_data_redaction/ \ No newline at end of file From b9d588ef4714b496654ac8d4fe75e0fd7a7172f0 Mon Sep 17 00:00:00 2001 From: May Lee Date: Fri, 5 Apr 2024 14:06:06 -0400 Subject: [PATCH 61/88] add path notation example --- .../configure_log_archive/instructions.md | 38 +++++++++---------- .../processors/dedupe.md | 22 +++++++++-- .../processors/remap.md | 24 ++++++++++-- 3 files changed, 58 insertions(+), 26 deletions(-) diff --git a/layouts/shortcodes/observability_pipelines/configure_log_archive/instructions.md b/layouts/shortcodes/observability_pipelines/configure_log_archive/instructions.md index 74b8f5abebb4f..34027fa05acb6 100644 --- a/layouts/shortcodes/observability_pipelines/configure_log_archive/instructions.md +++ b/layouts/shortcodes/observability_pipelines/configure_log_archive/instructions.md @@ -18,25 +18,25 @@ If you already have a Datadog Log Archive configured, skip to [Set up Observabil 1. Click **Create policy**. 1. Click **JSON** in the **Specify permissions** section. 1. Copy the below policy and paste it into the **Policy editor**. Replace `` and `` with the information for the S3 bucket you created earlier. -```json -{ - "Version": "2012-10-17", - "Statement": [ - { - "Sid": "DatadogUploadAndRehydrateLogArchives", - "Effect": "Allow", - "Action": ["s3:PutObject", "s3:GetObject"], - "Resource": "arn:aws:s3:::/*" - }, - { - "Sid": "DatadogRehydrateLogArchivesListBucket", - "Effect": "Allow", - "Action": "s3:ListBucket", - "Resource": "arn:aws:s3:::" - } - ] -} -``` + ```json + { + "Version": "2012-10-17", + "Statement": [ + { + "Sid": "DatadogUploadAndRehydrateLogArchives", + "Effect": "Allow", + "Action": ["s3:PutObject", "s3:GetObject"], + "Resource": "arn:aws:s3:::/*" + }, + { + "Sid": "DatadogRehydrateLogArchivesListBucket", + "Effect": "Allow", + "Action": "s3:ListBucket", + "Resource": "arn:aws:s3:::" + } + ] + } + ``` 1. Click **Next**. 1. Enter a descriptive policy name. 1. Optionally, add tags. diff --git a/layouts/shortcodes/observability_pipelines/processors/dedupe.md b/layouts/shortcodes/observability_pipelines/processors/dedupe.md index 1de4fe93e6490..b8d300bb02faa 100644 --- a/layouts/shortcodes/observability_pipelines/processors/dedupe.md +++ b/layouts/shortcodes/observability_pipelines/processors/dedupe.md @@ -3,7 +3,23 @@ The dedupe processor removes copies of data to reduce volume and noise. It cache To set up the deduplicate processor: 1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) is checked for deduplication based on the rules below. 1. In the **Type of deduplication** dropdown menu, select whether you want to `Match` on or `Ignore` the fields specified below. -- If `Match` is selected, then after a log passes through, future logs that have the same values for all of the fields you specify below is removed. -- If `Ignore` is selected, then after a log passes through, future logs that have the same values for all of their fields, *except* the ones you specify below is removed. + - If `Match` is selected, then after a log passes through, future logs that have the same values for all of the fields you specify below is removed. + - If `Ignore` is selected, then after a log passes through, future logs that have the same values for all of their fields, *except* the ones you specify below is removed. 1. Enter the fields you want to match on, or ignore. Click **Add field** if you have additional fields you want to filter on. At least one field is required, and you can specify a maximum of three fields. -- Use the path notation `outer_field.inner_field` to match sub-fields. + - Use the path notation `outer_field.inner_field` to match sub-fields. See [example](#path-notation-example). + +##### Path notation example + + For the following message structure, use `outer_key.inner_key.double_inner_key` to refer to the key with the value `double_inner_value`. + ``` JSON + { + "outer_key": { + "inner_key": "inner_value", + "a": { + "double_inner_key": "double_inner_value", + "b": "b value" + }, + "c": "c value" + }, + "d": "d value" + } \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/processors/remap.md b/layouts/shortcodes/observability_pipelines/processors/remap.md index a0ae5160f018d..46e1fc60adb52 100644 --- a/layouts/shortcodes/observability_pipelines/processors/remap.md +++ b/layouts/shortcodes/observability_pipelines/processors/remap.md @@ -5,7 +5,7 @@ Use **add field** to append a new key-value field to your log. To set up add field processor: 1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) is processed. -1. Enter the key and value you want to add. To specify a nested field for your key, use the path notation: `outer_field.inner_field`. All values are stored as strings. +1. Enter the key and value you want to add. To specify a nested field for your key, use the [path notation](#path-notation-example): `outer_field.inner_field`. All values are stored as strings. **Note**: If the key you specify already exists, then that key's original value is overwritten. ##### Drop field @@ -14,7 +14,7 @@ Use **drop field** to drop a field from logging data that matches the filter you To set up the drop field processor: 1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) is processed. -1. Enter the key of the field you want to drop. To specify a nested field for your specified key, use the path notation: `outer_field.inner_field`. +1. Enter the key of the field you want to drop. To specify a nested field for your specified key, use the [path notation](#path-notation-example): `outer_field.inner_field`. **Note**: If your specified key does not exist, then your log will be unimpacted. ##### Rename field @@ -23,8 +23,24 @@ Use **rename field** to rename a field within your log. To set up the rename field processor: 1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) is processed. -1. Enter the name of the field you want to rename in the **Source key** field. To specify a nested field for your key, use the path notation: `outer_field.inner_field`. Once renamed, your original field is deleted unless you enable the **Preserve source tag** checkbox described below. +1. Enter the name of the field you want to rename in the **Source key** field. To specify a nested field for your key, use the [path notation](#path-notation-example): `outer_field.inner_field`. Once renamed, your original field is deleted unless you enable the **Preserve source tag** checkbox described below. **Note**: If the source key you specify doesn't exist, then your target has a default null value applied to it. -1. In the **Target key** field, enter the name you want the source field to be renamed to. To specify a nested field for your specified key, use the path notation: `outer_field.inner_field`. +1. In the **Target key** field, enter the name you want the source field to be renamed to. To specify a nested field for your specified key, use the [path notation](#path-notation-example) `outer_field.inner_field`. **Note**: If the target key you specify already exists, then that key's original value is overwritten. 1. Optionally, check the **Preserve source tag** box if you want to retain the original source field and duplicate the information from your source key to your specified target key. If this box is not checked, the source key is dropped after it is renamed. + +##### Path notation example + + For the following message structure, use `outer_key.inner_key.double_inner_key` to refer to the key with the value `double_inner_value`. + ``` JSON + { + "outer_key": { + "inner_key": "inner_value", + "a": { + "double_inner_key": "double_inner_value", + "b": "b value" + }, + "c": "c value" + }, + "d": "d value" + } \ No newline at end of file From c6f848a6030ee95aca4934542b9a898b634c90c8 Mon Sep 17 00:00:00 2001 From: May Lee Date: Fri, 5 Apr 2024 14:14:37 -0400 Subject: [PATCH 62/88] small fix --- .../processors/dedupe.md | 25 ++++++++++--------- .../processors/remap.md | 25 ++++++++++--------- 2 files changed, 26 insertions(+), 24 deletions(-) diff --git a/layouts/shortcodes/observability_pipelines/processors/dedupe.md b/layouts/shortcodes/observability_pipelines/processors/dedupe.md index b8d300bb02faa..3475bd0cd63fc 100644 --- a/layouts/shortcodes/observability_pipelines/processors/dedupe.md +++ b/layouts/shortcodes/observability_pipelines/processors/dedupe.md @@ -11,15 +11,16 @@ To set up the deduplicate processor: ##### Path notation example For the following message structure, use `outer_key.inner_key.double_inner_key` to refer to the key with the value `double_inner_value`. - ``` JSON - { - "outer_key": { - "inner_key": "inner_value", - "a": { - "double_inner_key": "double_inner_value", - "b": "b value" - }, - "c": "c value" - }, - "d": "d value" - } \ No newline at end of file +```json +{ + "outer_key": { + "inner_key": "inner_value", + "a": { + "double_inner_key": "double_inner_value", + "b": "b value" + }, + "c": "c value" + }, + "d": "d value" + } +``` \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/processors/remap.md b/layouts/shortcodes/observability_pipelines/processors/remap.md index 46e1fc60adb52..e4194f962d697 100644 --- a/layouts/shortcodes/observability_pipelines/processors/remap.md +++ b/layouts/shortcodes/observability_pipelines/processors/remap.md @@ -32,15 +32,16 @@ To set up the rename field processor: ##### Path notation example For the following message structure, use `outer_key.inner_key.double_inner_key` to refer to the key with the value `double_inner_value`. - ``` JSON - { - "outer_key": { - "inner_key": "inner_value", - "a": { - "double_inner_key": "double_inner_value", - "b": "b value" - }, - "c": "c value" - }, - "d": "d value" - } \ No newline at end of file +```json +{ + "outer_key": { + "inner_key": "inner_value", + "a": { + "double_inner_key": "double_inner_value", + "b": "b value" + }, + "c": "c value" + }, + "d": "d value" + } +``` \ No newline at end of file From 7185ff4d702145eca684c9a867c9b39ec89f3638 Mon Sep 17 00:00:00 2001 From: May Lee Date: Fri, 5 Apr 2024 14:18:06 -0400 Subject: [PATCH 63/88] add splt logs prereqs tabs --- .../split_logs/datadog_agent.md | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/content/en/observability_pipelines/split_logs/datadog_agent.md b/content/en/observability_pipelines/split_logs/datadog_agent.md index 71d4e798ff9df..ab29861794cb0 100644 --- a/content/en/observability_pipelines/split_logs/datadog_agent.md +++ b/content/en/observability_pipelines/split_logs/datadog_agent.md @@ -17,6 +17,19 @@ This document walks you through the following steps: {{% observability_pipelines/prerequisites/datadog_agent %}} +{{< tabs >}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/prerequisites/splunk_hec %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/prerequisites/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} + ## Set up Observability Pipelines 1. Navigate to [Observability Pipelines][1]. From f755a839934a5b468ede2a6ee15f79a1e7da8caf Mon Sep 17 00:00:00 2001 From: May Lee Date: Fri, 5 Apr 2024 14:19:57 -0400 Subject: [PATCH 64/88] add gov note --- content/en/observability_pipelines/_index.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/content/en/observability_pipelines/_index.md b/content/en/observability_pipelines/_index.md index 80cb188f8d3b1..0518f649f9518 100644 --- a/content/en/observability_pipelines/_index.md +++ b/content/en/observability_pipelines/_index.md @@ -4,6 +4,10 @@ kind: documentation disable_toc: false --- +{{< site-region region="gov" >}} +
Observability Pipelines is not available on the US1-FED Datadog site.
+{{< /site-region >}} +
Datadog recommends you update Observability Pipelines Worker (OPW) with every minor and patch release, or, at a minimum, monthly.

Upgrading to a major OPW version and keeping it updated is the only supported way to get the latest OPW functionality, fixes, and security updates.
From 511b6c6bc5754468519069b605492b27c0001ba3 Mon Sep 17 00:00:00 2001 From: May Lee Date: Fri, 5 Apr 2024 14:37:54 -0400 Subject: [PATCH 65/88] small edits --- .../archive_logs/sumo_logic_hosted_collector.md | 4 ++-- .../dual_ship_logs/sumo_logic_hosted_collector.md | 4 ++-- .../log_volume_control/sumo_logic_hosted_collector.md | 2 +- .../sensitive_data_redaction/sumo_logic_hosted_collector.md | 4 ++-- .../split_logs/sumo_logic_hosted_collector.md | 4 ++-- .../shortcodes/observability_pipelines/processors/intro.md | 2 +- 6 files changed, 10 insertions(+), 10 deletions(-) diff --git a/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md index aa8ecc228c476..9d487d1577733 100644 --- a/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md @@ -1,12 +1,12 @@ --- -title: Archive Logs for the Sumo Logic Hosted Collector with HTTP Logs Source +title: Archive Logs for the Sumo Logic Hosted Collector HTTP Logs Source kind: document disable_toc: false --- ## Overview -Configure your Sumo Logic Hosted Collector with the HTTP Logs source so that the Observability Pipelines Worker formats the logs collected into a Datadog-rehydratable format before routing them to Datadog Log Archives. +Configure your Sumo Logic Hosted Collector HTTP Logs source so that the Observability Pipelines Worker formats the logs collected into a Datadog-rehydratable format before routing them to Datadog Log Archives. This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines diff --git a/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md index 5982e9a449086..745a90f21cb47 100644 --- a/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md @@ -1,12 +1,12 @@ --- -title: Dual Ship Logs for the Sumo Logic Hosted Collector with HTTP Logs Source +title: Dual Ship Logs for the Sumo Logic Hosted Collector HTTP Logs Source kind: document disable_toc: false --- ## Overview -Configure Sumo Logic Hosted Collector with the HTTP Logs source to send logs to the Observability Pipelines Worker so that Observability Pipelines receives and routes logs from the Sumo Logic Hosted Collector to downstream destinations. +Configure Sumo Logic Hosted Collector the HTTP Logs source to send logs to the Observability Pipelines Worker so that Observability Pipelines receives and routes logs from the Sumo Logic Hosted Collector to downstream destinations. This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines diff --git a/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md index 7ce5c26800aaa..ad0106cc8b0d4 100644 --- a/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md @@ -1,5 +1,5 @@ --- -title: Log Volume Control for the Sumo Logic Hosted Collector with HTTP Logs Source +title: Log Volume Control for the Sumo Logic Hosted Collector HTTP Logs Source kind: document disable_toc: false --- diff --git a/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md index 215b25ffc3c4f..95cd4eb386d9a 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md @@ -1,5 +1,5 @@ --- -title: Sensitive Data Redaction for the Sumo Logic Hosted Collector with HTTP Logs Source +title: Sensitive Data Redaction for the Sumo Logic Hosted Collector HTTP Logs Source kind: document disable_toc: false --- @@ -10,7 +10,7 @@ Sensitive data, such as credit card numbers, bank routing numbers, and API keys, Use the Observability Pipelines to identify, tag, and optionally redact or hash sensitive information before routing logs to different destinations and outside of your infrastructure. You can use out-of-the-box scanning rules to detect common patterns such as email addresses, credit card numbers, API keys, authorization tokens, and more. Or, create custom scanning rules using regex patterns to match sensitive information. -Observability Pipelines support Sumo Logic Collector's HTTP Logs source. +Observability Pipelines supports Sumo Logic Collector HTTP Logs source. This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines diff --git a/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md index 71ec01f285df2..15da40c4afb7a 100644 --- a/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md @@ -1,12 +1,12 @@ --- -title: Split Logs for the Sumo Logic Hosted Collector with HTTP Logs Source +title: Split Logs for the Sumo Logic Hosted Collector HTTP Logs Source kind: document disable_toc: false --- ## Overview -Configure you Sumo Logic Hosted Collector with the HTTP Logs source to send logs to the Observability Pipelines Worker and then to different destinations based on your use case. +Configure you Sumo Logic Hosted Collector HTTP Logs source to send logs to the Observability Pipelines Worker and then to different destinations based on your use case. This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines diff --git a/layouts/shortcodes/observability_pipelines/processors/intro.md b/layouts/shortcodes/observability_pipelines/processors/intro.md index 9e2cee4509603..9a98148a0b3fd 100644 --- a/layouts/shortcodes/observability_pipelines/processors/intro.md +++ b/layouts/shortcodes/observability_pipelines/processors/intro.md @@ -1,3 +1,3 @@ There are pre-selected processors added to your processor group out of the box. You can add additional processors or delete any existing ones based on your processing needs. -Processor groups are executed from top to bottom, and the individual processors can be reordered with the drag handle on their top left corner. The order of the processors is important because logs pass through all processors in a group and are processed by each processor where the log a matches the filter query. +Processor groups are executed from top to bottom. The order of the processors is important because logs are checked by each processor, but only logs that match the processor's filters are processed. To modify the order of the processors, use the drag handle on the top left corner of the processor you want to move. From 9b9c44d4e4a0e1507624f03bad56241490263e54 Mon Sep 17 00:00:00 2001 From: May Lee Date: Fri, 5 Apr 2024 16:18:13 -0400 Subject: [PATCH 66/88] small edits --- .../destination_env_vars/splunk_hec.md | 6 +++--- .../shortcodes/observability_pipelines/legacy_warning.md | 2 +- .../observability_pipelines/prerequisites/splunk_hec.md | 4 ++-- 3 files changed, 6 insertions(+), 6 deletions(-) diff --git a/layouts/shortcodes/observability_pipelines/destination_env_vars/splunk_hec.md b/layouts/shortcodes/observability_pipelines/destination_env_vars/splunk_hec.md index 964414d1dcd23..295312fdc445d 100644 --- a/layouts/shortcodes/observability_pipelines/destination_env_vars/splunk_hec.md +++ b/layouts/shortcodes/observability_pipelines/destination_env_vars/splunk_hec.md @@ -1,5 +1,5 @@ -Enter your `Splunk HEC token` and the`Base URL of the Splunk instance` as described in the [prerequisites](#prerequisites). - -**Note**: Depending on the encoding selected, either `/services/collector/event` or `/services/collector/raw`) is automatically appended to your endpoint. +Enter your Splunk HEC token and theBase URL of the Splunk instance. See [prerequisites](#prerequisites) for more information. The Worker passes the HEC token along to the Splunk collection endpoint. After the Observability Pipelines Worker processes the logs, it sends the logs to the Splunk instance URL specified. + +**Note**: All logs are sent to the `/services/collector/event` endpoint regardless of whether you configure your Splunk HEC destination to encode your output in `JSON` or `raw`. \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/legacy_warning.md b/layouts/shortcodes/observability_pipelines/legacy_warning.md index e42c6ca40daf4..0816462fe8ad1 100644 --- a/layouts/shortcodes/observability_pipelines/legacy_warning.md +++ b/layouts/shortcodes/observability_pipelines/legacy_warning.md @@ -1 +1 @@ -
If you upgrade your Observability Pipelines Workers 1.8 or earlier to 2.0 or later, your existing pipelines will break. Do not upgrade your Workers if you want to continue using the legacy Observability Pipelines. If you want to use Worker 2.0 or later, you must migrate your Worker 1.8 or earlier pipelines to Worker 2.x.

Datadog recommends you update to Observability Pipelines Worker (OPW) versions 2.0 or above. Upgrading to a major OPW version and keeping it updated is the only supported way to get the latest OPW functionality, fixes, and security updates.
+
If you upgrade your OP Workers version 1.8 or below to version 2.0 or above, your existing pipelines will break. Do not upgrade your OP Workers if you want to continue using OP Workers version 1.8 or below. If you want to use OP Worker 2.0 or above, you must migrate your OP Worker 1.8 or earlier pipelines to OP Worker 2.x.

Datadog recommends that you update to OP Worker versions 2.0 or above. Upgrading to a major OP Worker version and keeping it updated is the only supported way to get the latest OP Worker functionality, fixes, and security updates.
diff --git a/layouts/shortcodes/observability_pipelines/prerequisites/splunk_hec.md b/layouts/shortcodes/observability_pipelines/prerequisites/splunk_hec.md index 6a05ea1c69ea9..6014df8909cf6 100644 --- a/layouts/shortcodes/observability_pipelines/prerequisites/splunk_hec.md +++ b/layouts/shortcodes/observability_pipelines/prerequisites/splunk_hec.md @@ -3,8 +3,8 @@ To use Observability Pipelines's Splunk HTTP Event Collector (HEC) source, you h To use Observability Pipelines's Splunk HEC destination, you have a Splunk Enterprise or Cloud instance configured with an HTTP Event Collector (HEC) input. You also have the following information available: - The Splunk HEC token. -- The bind address that your Observability Pipelines Worker will listen on to receive logs. For example, `0.0.0.0:8088`. -- The base URL of the Splunk instance that the Worker will send processed logs to. This URL should include the port that is globally configured for Splunk HTTP Event Collectors on your Splunk instance. +- The bind address that your Observability Pipelines Worker will listen on to receive logs. For example, `0.0.0.0:8080`. +- The base URL of the Splunk instance that the Worker will send processed logs to. This URL should include the port that is globally configured for Splunk HTTP Event Collectors on your Splunk instance. For example, for Splunk Cloud: `https://prd-p-0mupp.splunkcloud.com:8088`. - If your HECs are globally configured to enable SSL, then you also need the appropriate [TLS certificates][3002] and password you used to create your private key file. See [Configure HTTP Event Collector on Splunk Web][3003] for more information about setting up Splunk HEC. From ede7e700916b4970cbd2a5ec4896dab86fbe978f Mon Sep 17 00:00:00 2001 From: May Lee Date: Fri, 5 Apr 2024 17:55:24 -0400 Subject: [PATCH 67/88] small edits --- content/en/observability_pipelines/archive_logs/_index.md | 2 +- content/en/observability_pipelines/archive_logs/splunk_tcp.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/content/en/observability_pipelines/archive_logs/_index.md b/content/en/observability_pipelines/archive_logs/_index.md index 4f13778935644..ef7a573cad61d 100644 --- a/content/en/observability_pipelines/archive_logs/_index.md +++ b/content/en/observability_pipelines/archive_logs/_index.md @@ -6,7 +6,7 @@ disable_toc: false ## Overview -Use Observability Pipelines to route ingested logs to an archive or a bucket in Datadog rehydratable format. You can then rehydrate the archive in Datadog ad hoc whenever you need to analyze and investigate them. This is useful when: +Use Observability Pipelines to route ingested logs to a Amazon S3 bucket in Datadog rehydratable format. You can then rehydrate the archive in Datadog ad hoc whenever you need to analyze and investigate them. This is useful when: - You are migrating from another log vendor to Datadog Log Management, and want to ensure you have access to historical logs when you finish migrating. - You have a high volume of noisy logs, but you may need to index them in Log Management ad hoc. diff --git a/content/en/observability_pipelines/archive_logs/splunk_tcp.md b/content/en/observability_pipelines/archive_logs/splunk_tcp.md index 5289365c69583..3a66962b2359d 100644 --- a/content/en/observability_pipelines/archive_logs/splunk_tcp.md +++ b/content/en/observability_pipelines/archive_logs/splunk_tcp.md @@ -6,7 +6,7 @@ disable_toc: false ## Overview -Configure your Splunk Universal/Heavy Forwarder so that the Observability Pipelines Worker formats the logs collected into a Datadog-rehydratable format before routing them to Datadog Log Archives. +Configure your Splunk Heavy and Universal Forwarder so that the Observability Pipelines Worker formats the logs collected into a Datadog-rehydratable format before routing them to Datadog Log Archives. This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines From bd912a30f6431fe6fdfbd8da427a9d65dfb05e65 Mon Sep 17 00:00:00 2001 From: May Lee Date: Fri, 5 Apr 2024 19:43:16 -0400 Subject: [PATCH 68/88] Apply suggestions from code review Co-authored-by: Jen Gilbert --- content/en/observability_pipelines/_index.md | 4 ++-- .../en/observability_pipelines/architecture.md | 12 ++++++------ .../archive_logs/_index.md | 2 +- .../archive_logs/datadog_agent.md | 4 ++-- .../archive_logs/splunk_hec.md | 2 +- .../archive_logs/splunk_tcp.md | 4 ++-- .../archive_logs/sumo_logic_hosted_collector.md | 2 +- .../dual_ship_logs/_index.md | 4 ++-- .../dual_ship_logs/datadog_agent.md | 4 ++-- .../dual_ship_logs/splunk_hec.md | 4 ++-- .../dual_ship_logs/splunk_tcp.md | 4 ++-- .../sumo_logic_hosted_collector.md | 2 +- .../log_volume_control/_index.md | 2 +- .../log_volume_control/splunk_tcp.md | 4 ++-- .../sumo_logic_hosted_collector.md | 3 +-- .../sensitive_data_redaction/_index.md | 2 +- .../sensitive_data_redaction/datadog_agent.md | 4 ++-- .../sensitive_data_redaction/splunk_hec.md | 2 +- .../sensitive_data_redaction/splunk_tcp.md | 4 ++-- .../sumo_logic_hosted_collector.md | 2 +- .../observability_pipelines/split_logs/_index.md | 4 ++-- .../split_logs/datadog_agent.md | 4 ++-- .../split_logs/splunk_hec.md | 2 +- .../split_logs/splunk_tcp.md | 4 ++-- .../split_logs/sumo_logic_hosted_collector.md | 4 ++-- .../configure_log_archive/docker.md | 2 +- .../configure_log_archive/linux_apt.md | 2 +- .../configure_log_archive/linux_rpm.md | 2 +- .../destination_env_vars/datadog_archives.md | 2 +- .../destination_env_vars/splunk_hec.md | 4 ++-- .../destination_settings/datadog_archives.md | 4 ++-- .../install_worker/amazon_eks.md | 2 +- .../install_worker/azure_aks.md | 2 +- .../install_worker/cloudformation.md | 16 ++++++++-------- .../install_worker/google_gke.md | 2 +- .../install_worker/linux_apt.md | 12 ++++++------ .../install_worker/linux_rpm.md | 8 ++++---- .../log_source_configuration/datadog_agent.md | 2 +- .../log_source_configuration/sumo_logic.md | 2 +- .../prerequisites/datadog_agent.md | 4 ++-- .../prerequisites/splunk_tcp.md | 4 ++-- .../observability_pipelines/processors/dedupe.md | 8 ++++---- .../observability_pipelines/processors/filter.md | 2 +- .../observability_pipelines/processors/quota.md | 2 +- .../observability_pipelines/processors/remap.md | 14 +++++++------- .../observability_pipelines/processors/sample.md | 4 ++-- .../processors/sensitive_data_scanner.md | 8 ++++---- .../source_settings/splunk_hec.md | 6 +++--- .../source_settings/splunk_tcp.md | 6 +++--- 49 files changed, 104 insertions(+), 105 deletions(-) diff --git a/content/en/observability_pipelines/_index.md b/content/en/observability_pipelines/_index.md index 0518f649f9518..39ea42837e30c 100644 --- a/content/en/observability_pipelines/_index.md +++ b/content/en/observability_pipelines/_index.md @@ -18,7 +18,7 @@ Observability Pipelines allows you to collect, process, and route logs in your o - Log volume control: Cut down on your log volume before it leaves your infrastructure or network. - Dual ship logs: Send copies of your logs to multiple destinations. -- Split logs: Send your logs to different destinations based on your use case. For example, you can send devops logs to Datadog and security logs to a security vendor. +- Split logs: Send your logs to different destinations based on your use case. For example, you can send DevOps logs to Datadog and security logs to a security vendor. - Archive logs: Send logs to a log vendor and to an archive in Datadog rehydratable format. - Sensitive data redaction: Redact sensitive data in your logs before they are routed outside of your infrastructure. @@ -31,7 +31,7 @@ The following sources are available: - Datadog Agent - Splunk HTTP Event Collector (HEC) - Splunk Heavy and Universal Forwarders (TCP) -- Sumo Logic Host Collector +- Sumo Logic Hosted Collector ## Get started diff --git a/content/en/observability_pipelines/architecture.md b/content/en/observability_pipelines/architecture.md index d3027f19a2923..198cb34be40bc 100644 --- a/content/en/observability_pipelines/architecture.md +++ b/content/en/observability_pipelines/architecture.md @@ -14,7 +14,7 @@ This guide is for large-scale production-level deployments. ## Overview -Deploy Observability Pipelines Worker into your infrastructure, like any other service to intercept and manipulate data, and then forward it to your destinations. Each Observability Pipelines Worker instance operates independently, so that you can scale the architecture with a simple load balancer. +Deploy Observability Pipelines Worker into your infrastructure like any other service to intercept and manipulate data, and then forward it to your destinations. Each Observability Pipelines Worker instance operates independently, so that you can scale the architecture with a simple load balancer. This guide walks you through the recommended aggregator architecture for new Observability Pipelines Worker users. Specifically these topics: @@ -25,7 +25,7 @@ This guide walks you through the recommended aggregator architecture for new Obs ### Instance sizing -Compute optimized instances with at least 8 vCPUs and 16 GiB of memory. These are ideal units for horizontally scaling the Observability Pipelines Worker aggregator. Observability Pipelines Worker can vertically scale and automatically take advantage of additional resources if you choose larger instances. Choose a size that allows for at least two Observability Pipelines Worker instances for your data volume to improve availability. +Use compute optimized instances with at least 8 vCPUs and 16 GiB of memory. These are ideal units for horizontally scaling the Observability Pipelines Worker aggregator. Observability Pipelines Worker can vertically scale and automatically take advantage of additional resources if you choose larger instances. To improve availability, choose a size that allows for at least two Observability Pipelines Worker instances for your data volume. | Cloud Provider| Recommendation | | ------------- | ----------------------------------------------------- | @@ -104,7 +104,7 @@ A load balancer is only required for push-based sources, such as agents. You do Client-side load balancing is not recommended. Client-side load balancing refers to clients doing the load balancing of traffic across multiple Observability Pipelines Worker instances. While this approach sounds simpler, it may be less reliable and more complicated because: - Load balancing with proper failover is complex. Issues in this area are sensitive as they can result in data loss or incidents that disrupt your services. This is exacerbated if you are working with multiple types of clients. -- The point of the Observability Pipelines Worker aggregator is to shift responsibility away from your agents and taking on load balancing helps to do that. +- The point of the Observability Pipelines Worker aggregator is to shift responsibility away from your agents, and taking on load balancing helps to do that. ###### Load balancer types @@ -115,7 +115,7 @@ Datadog recommends Layer 4 (L4) load balancers (network load balancers) since th | AWS | AWS Network Load Balancer (NLB) | | Azure | Internal Azure Load Balancer | | Google Cloud | Internal TCP/UDP Network Load Balancer | -| Private | HAProxy, Nginx, or another load balancer with layer-4 support | +| Private | HAProxy, NGINX, or another load balancer with layer-4 support | ###### Load balancer configurations @@ -144,9 +144,9 @@ In these cases, the following respective mitigation tactics are recommended: Observability Pipelines Worker's concurrency model automatically scales to take advantage of all vCPUs. There are no concurrency settings or configuration changes required. When vertically scaling, Datadog recommends capping an instance's size to process no more than 50% of your total volume and deploying at least two Observability Pipelines Worker instances for high availability. -#### Autoscaling +#### Auto-scaling -Autoscaling should be based on average CPU utilization. For the vast majority of workloads, Observability Pipelines Worker is CPU constrained. CPU utilization is the strongest signal for autoscaling since it does not produce false positives. Datadog recommends you use the following settings, adjusting as necessary: +Auto-scaling should be based on average CPU utilization. For the vast majority of workloads, Observability Pipelines Worker is CPU constrained. CPU utilization is the strongest signal for auto-scaling since it does not produce false positives. Datadog recommends you use the following settings, adjusting as necessary: - Average CPU with a 85% utilization target. - A five minute stabilization period for scaling up and down. \ No newline at end of file diff --git a/content/en/observability_pipelines/archive_logs/_index.md b/content/en/observability_pipelines/archive_logs/_index.md index ef7a573cad61d..0300ed1b7ef8c 100644 --- a/content/en/observability_pipelines/archive_logs/_index.md +++ b/content/en/observability_pipelines/archive_logs/_index.md @@ -17,7 +17,7 @@ Select a source to get started: - [Datadog Agent][1] - [Splunk HTTP Event Collector (HEC)][2] - [Splunk Heavy and Universal Forwarders (TCP)][3] -- [Sumo Logic Host Collector][4] +- [Sumo Logic Hosted Collector][4] [1]: /observability_pipelines/archive_logs/datadog_agent [2]: /observability_pipelines/archive_logs/splunk_hec diff --git a/content/en/observability_pipelines/archive_logs/datadog_agent.md b/content/en/observability_pipelines/archive_logs/datadog_agent.md index 31b4859bf309c..793e4a75d570b 100644 --- a/content/en/observability_pipelines/archive_logs/datadog_agent.md +++ b/content/en/observability_pipelines/archive_logs/datadog_agent.md @@ -12,7 +12,7 @@ This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Configuring a Log Archive](#configure-a-log-archive) 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) -1. [Connect the Datadog Agent to the Observability Pipelines Worker](#connect-the-datadog-agent-to-the-observability-pipelines-worker) +1. [Connecting the Datadog Agent to the Observability Pipelines Worker](#connect-the-datadog-agent-to-the-observability-pipelines-worker) ## Prerequisites @@ -120,7 +120,7 @@ Enter the following information based on your selected logs destination. ### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. -1. Enter the Datadog Agent address. This is the address and port where your datadog agent is sending its logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Enter the Datadog Agent address. This is the address and port where your Datadog Agent is sending its logging data. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. {{< tabs >}} {{% tab "Datadog Archives" %}} diff --git a/content/en/observability_pipelines/archive_logs/splunk_hec.md b/content/en/observability_pipelines/archive_logs/splunk_hec.md index d597a08049af5..20c3afe734ca5 100644 --- a/content/en/observability_pipelines/archive_logs/splunk_hec.md +++ b/content/en/observability_pipelines/archive_logs/splunk_hec.md @@ -121,7 +121,7 @@ Enter the following information based on your selected logs destinations. ### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. -1. Enter the Splunk HEC address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Enter the Splunk HEC address. This is the address and port where your applications are sending their logging data. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. {{< tabs >}} {{% tab "Datadog Archives" %}} diff --git a/content/en/observability_pipelines/archive_logs/splunk_tcp.md b/content/en/observability_pipelines/archive_logs/splunk_tcp.md index 3a66962b2359d..5424606949410 100644 --- a/content/en/observability_pipelines/archive_logs/splunk_tcp.md +++ b/content/en/observability_pipelines/archive_logs/splunk_tcp.md @@ -12,7 +12,7 @@ This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Configuring a Log Archive](#configure-a-log-archive) 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) -1. [Connect Splunk Forwarder to the Observability Pipelines Worker](#connect-splunk-forwarder-to-the-observability-pipelines-worker) +1. [Connecting Splunk Forwarder to the Observability Pipelines Worker](#connect-splunk-forwarder-to-the-observability-pipelines-worker) ## Prerequisites @@ -121,7 +121,7 @@ Enter the following information based on your selected logs destination. ### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. -1. Enter the Splunk TCP address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Enter the Splunk TCP address. This is the address and port where your applications are sending their logging data. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. {{< tabs >}} {{% tab "Datadog Archives" %}} diff --git a/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md index 9d487d1577733..3bf97fd96b224 100644 --- a/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md @@ -121,7 +121,7 @@ Enter the following information based on your selected logs destination. ### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. -1. Enter the Sumo Logic address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Enter the Sumo Logic address. This is the address and port where your applications are sending their logging data. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. {{< tabs >}} {{% tab "Datadog Archives" %}} diff --git a/content/en/observability_pipelines/dual_ship_logs/_index.md b/content/en/observability_pipelines/dual_ship_logs/_index.md index 695e9ff793221..4394255708f7f 100644 --- a/content/en/observability_pipelines/dual_ship_logs/_index.md +++ b/content/en/observability_pipelines/dual_ship_logs/_index.md @@ -6,14 +6,14 @@ disable_toc: false ## Overview -As your infrastructure and your organization scales, so does your log volume, complexity of your data, and your observability architecture. To optimize how you manage your logs, you might need to experiment with different log management tools and routing workflows. Use Observability Pipelines to send your logs to different destinations, so that you can evaluate different tools and workflows with minimal disruption to your production environment. +As your infrastructure and your organization scales, so does your log volume, the complexity of your data, and your observability architecture. To optimize how you manage your logs, you might need to experiment with different log management tools and routing workflows. Use Observability Pipelines to send your logs to different destinations, so you can evaluate different tools and workflows with minimal disruption to your production environment. Select a source to get started: - [Datadog Agent][1] - [Splunk HTTP Event Collector (HEC)][2] - [Splunk Heavy and Universal Forwarders (TCP)][3] -- [Sumo Logic Host Collector][4] +- [Sumo Logic Hosted Collector][4] [1]: /observability_pipelines/dual_ship_logs/datadog_agent [2]: /observability_pipelines/dual_ship_logs/splunk_hec diff --git a/content/en/observability_pipelines/dual_ship_logs/datadog_agent.md b/content/en/observability_pipelines/dual_ship_logs/datadog_agent.md index f8e757910c0f1..fa130930bb6b7 100644 --- a/content/en/observability_pipelines/dual_ship_logs/datadog_agent.md +++ b/content/en/observability_pipelines/dual_ship_logs/datadog_agent.md @@ -11,7 +11,7 @@ Configure the Datadog Agent and set up Observability Pipelines so that the Obser This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) -1. [Connect the Datadog Agent to the Observability Pipelines Worker](#connect-the-datadog-agent-to-the-observability-pipelines-worker) +1. [Connecting the Datadog Agent to the Observability Pipelines Worker](#connect-the-datadog-agent-to-the-observability-pipelines-worker) ## Prerequisites @@ -86,7 +86,7 @@ Enter the following information based on your selected logs destination. ### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. -1. Enter the Datadog Agent address. This is the address and port where your datadog agent is sending its logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Enter the Datadog Agent address. This is the address and port where your Datadog Agent is sending its logging data. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. {{< tabs >}} {{% tab "Datadog" %}} diff --git a/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md b/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md index 19a7e4dba7ea4..7c445a701e3ac 100644 --- a/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md +++ b/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md @@ -27,7 +27,7 @@ This document walks you through the following steps to set up dual shipping: ## Set up Observability Pipelines -1. Navigate to [Observability Pipelines][1]. +1. Navigate to [Observability Pipelines][2]. 1. Select the **Dual Ship Logs** use case to create a new pipeline. 1. Select **Splunk HEC** as the source. @@ -95,7 +95,7 @@ Enter the following information based on your selected logs destinations. ### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. -1. Enter the Splunk HEC address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Enter the Splunk HEC address. This is the address and port where your applications are sending their logging data. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. {{< tabs >}} {{% tab "Datadog" %}} diff --git a/content/en/observability_pipelines/dual_ship_logs/splunk_tcp.md b/content/en/observability_pipelines/dual_ship_logs/splunk_tcp.md index 183405f39a7c6..cdeb55b1b8229 100644 --- a/content/en/observability_pipelines/dual_ship_logs/splunk_tcp.md +++ b/content/en/observability_pipelines/dual_ship_logs/splunk_tcp.md @@ -11,7 +11,7 @@ Configure your Splunk Heavy or Universal Forwarders to send logs to the Observab This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) -1. [Connect Splunk Forwarder to the Observability Pipelines Worker](#connect-splunk-forwarder-to-the-observability-pipelines-worker) +1. [Connecting Splunk Forwarder to the Observability Pipelines Worker](#connect-splunk-forwarder-to-the-observability-pipelines-worker) ## Prerequisites @@ -93,7 +93,7 @@ Enter the following information based on your selected logs destination. ### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. -1. Enter the Splunk TCP address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Enter the Splunk TCP address. This is the address and port where your applications are sending their logging data. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. {{< tabs >}} {{% tab "Datadog" %}} diff --git a/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md index 745a90f21cb47..4b34ff4951f3b 100644 --- a/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md @@ -93,7 +93,7 @@ Enter the following information based on your selected logs destination. ### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. -1. Enter the Sumo Logic address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Enter the Sumo Logic address. This is the address and port where your applications are sending their logging data. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. {{< tabs >}} {{% tab "Datadog" %}} diff --git a/content/en/observability_pipelines/log_volume_control/_index.md b/content/en/observability_pipelines/log_volume_control/_index.md index 93ecdf6a4db29..08ad10bfbee81 100644 --- a/content/en/observability_pipelines/log_volume_control/_index.md +++ b/content/en/observability_pipelines/log_volume_control/_index.md @@ -18,7 +18,7 @@ Select a log source to get started: - [Splunk HTTP Event Collector (HEC)][1] - [Splunk Heavy and Universal Forwarders (TCP)][2] -- [Sumo Logic Host Collector][3] +- [Sumo Logic Hosted Collector][3] [1]: /observability_pipelines/log_volume_control/splunk_hec [2]: /observability_pipelines/log_volume_control/splunk_tcp diff --git a/content/en/observability_pipelines/log_volume_control/splunk_tcp.md b/content/en/observability_pipelines/log_volume_control/splunk_tcp.md index a909be0e47774..3a41cd48fc52d 100644 --- a/content/en/observability_pipelines/log_volume_control/splunk_tcp.md +++ b/content/en/observability_pipelines/log_volume_control/splunk_tcp.md @@ -10,7 +10,7 @@ This document walks you through the following steps to set up the Observability 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) -1. [Connect Splunk Forwarder to the Observability Pipelines Worker](#connect-splunk-forwarder-to-the-observability-pipelines-worker) +1. [Connecting Splunk Forwarder to the Observability Pipelines Worker](#connect-splunk-forwarder-to-the-observability-pipelines-worker) ## Prerequisites @@ -86,7 +86,7 @@ Enter the following information based on your selected logs destination. ### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. -1. Enter the Splunk TCP address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Enter the Splunk TCP address. This is the address and port where your applications are sending their logging data. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. {{< tabs >}} {{% tab "Datadog" %}} diff --git a/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md index ad0106cc8b0d4..4344d3679d32c 100644 --- a/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md @@ -8,7 +8,6 @@ disable_toc: false This document walks you through the following steps to set up the Observability Pipelines Worker with the Sumo Logic Hosted Collector HTTP Logs source so that you only route useful logs to your destinations: -This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) 1. [Sending logs to the Observability Pipelines Worker over Sumo Logic HTTP Source](#send-logs-to-the-observability-pipelines-worker-over-sumo-logic-http-source) @@ -87,7 +86,7 @@ Enter the following information based on your selected logs destination. ### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. -1. Enter the Sumo Logic address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Enter the Sumo Logic address. This is the address and port where your applications are sending their logging data. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. {{< tabs >}} {{% tab "Datadog" %}} diff --git a/content/en/observability_pipelines/sensitive_data_redaction/_index.md b/content/en/observability_pipelines/sensitive_data_redaction/_index.md index 38566e6e123cb..1ccf439673ec3 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/_index.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/_index.md @@ -15,7 +15,7 @@ Select a log source to get started: - [Datadog Agent][1] - [Splunk HTTP Event Collector (HEC)][2] - [Splunk Heavy and Universal Forwarders (TCP)][3] -- [Sumo Logic Host Collector][4] +- [Sumo Logic Hosted Collector][4] [1]: /observability_pipelines/sensitive_data_redaction/datadog_agent [2]: /observability_pipelines/sensitive_data_redaction/splunk_hec diff --git a/content/en/observability_pipelines/sensitive_data_redaction/datadog_agent.md b/content/en/observability_pipelines/sensitive_data_redaction/datadog_agent.md index f07bbfc69116b..3f06fba7af1d1 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/datadog_agent.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/datadog_agent.md @@ -13,7 +13,7 @@ Use the Observability Pipelines to identify, tag, and optionally redact or hash This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) -1. [Connect the Datadog Agent to the Observability Pipelines Worker](#connect-the-datadog-agent-to-the-observability-pipelines-worker) +1. [Connecting the Datadog Agent to the Observability Pipelines Worker](#connect-the-datadog-agent-to-the-observability-pipelines-worker) ## Prerequisites @@ -94,7 +94,7 @@ Enter the following information based on your selected logs destination. ### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. -1. Enter the Datadog Agent address. This is the address and port where your datadog agent is sending its logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Enter the Datadog Agent address. This is the address and port where your Datadog Agent is sending its logging data. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. {{< tabs >}} {{% tab "Datadog" %}} diff --git a/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md b/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md index 044c4079cf5e8..962edb0342f1c 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md @@ -94,7 +94,7 @@ Enter the following information based on your selected logs destination. ### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. -1. Enter the Splunk HEC address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Enter the Splunk HEC address. This is the address and port where your applications are sending their logging data. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. {{< tabs >}} {{% tab "Datadog" %}} diff --git a/content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md b/content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md index 11cc6bd12b078..39e31f8b08d64 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md @@ -13,7 +13,7 @@ Use the Observability Pipelines to identify, tag, and optionally redact or hash This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) -1. [Connect Splunk Forwarder to the Observability Pipelines Worker](#connect-splunk-forwarder-to-the-observability-pipelines-worker) +1. [Connecting Splunk Forwarder to the Observability Pipelines Worker](#connect-splunk-forwarder-to-the-observability-pipelines-worker) ## Prerequisites @@ -94,7 +94,7 @@ Enter the following information based on your selected logs destination. ### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. -1. Enter the Splunk TCP address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Enter the Splunk TCP address. This is the address and port where your applications are sending their logging data. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. {{< tabs >}} {{% tab "Datadog" %}} diff --git a/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md index 95cd4eb386d9a..5f2e9b8a044a5 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md @@ -96,7 +96,7 @@ Enter the following information based on your selected logs destination. ### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. -1. Enter the Sumo Logic address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Enter the Sumo Logic address. This is the address and port where your applications are sending their logging data. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. {{< tabs >}} {{% tab "Datadog" %}} diff --git a/content/en/observability_pipelines/split_logs/_index.md b/content/en/observability_pipelines/split_logs/_index.md index c5185c83c51ca..773bcde3f71c0 100644 --- a/content/en/observability_pipelines/split_logs/_index.md +++ b/content/en/observability_pipelines/split_logs/_index.md @@ -6,14 +6,14 @@ disable_toc: false ## Overview -Oftentimes, organizations need to send their logs to multiple products for different use cases. For example, you might send your security logs to your SIEM application and your devops logs to Datadog. Use Observability Pipelines to send your logs to different destinations based on your use case. +Often, organizations need to send their logs to multiple products for different use cases. For example, you might send your security logs to your SIEM application and your DevOps logs to Datadog. Use Observability Pipelines to send your logs to different destinations based on your use case. Select your log source to get started: - [Datadog Agent][1] - [Splunk HTTP Event Collector (HEC)][2] - [Splunk Heavy and Universal Forwarders (TCP)][3] -- [Sumo Logic Host Collector][4] +- [Sumo Logic Hosted Collector][4] [1]: /observability_pipelines/split_logs/datadog_agent [2]: /observability_pipelines/split_logs/splunk_hec diff --git a/content/en/observability_pipelines/split_logs/datadog_agent.md b/content/en/observability_pipelines/split_logs/datadog_agent.md index ab29861794cb0..b4a54be694dd8 100644 --- a/content/en/observability_pipelines/split_logs/datadog_agent.md +++ b/content/en/observability_pipelines/split_logs/datadog_agent.md @@ -11,7 +11,7 @@ Configure your Datadog Agent to send logs to the Observability Pipelines Worker This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) -1. [Connect the Datadog Agent to the Observability Pipelines Worker](#connect-the-datadog-agent-to-the-observability-pipelines-worker) +1. [Connecting the Datadog Agent to the Observability Pipelines Worker](#connect-the-datadog-agent-to-the-observability-pipelines-worker) ## Prerequisites @@ -100,7 +100,7 @@ Enter the following information based on your selected logs destination. ### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. -1. Enter the Datadog Agent address. This is the address and port where your datadog agent is sending its logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Enter the Datadog Agent address. This is the address and port where your Datadog Agent is sending its logging data. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. {{< tabs >}} {{% tab "Datadog" %}} diff --git a/content/en/observability_pipelines/split_logs/splunk_hec.md b/content/en/observability_pipelines/split_logs/splunk_hec.md index 4df351cc4e727..051b129250fba 100644 --- a/content/en/observability_pipelines/split_logs/splunk_hec.md +++ b/content/en/observability_pipelines/split_logs/splunk_hec.md @@ -93,7 +93,7 @@ Enter the following information based on your selected logs destinations. ### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. -1. Enter the Splunk HEC address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Enter the Splunk HEC address. This is the address and port where your applications are sending their logging data. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. {{< tabs >}} {{% tab "Datadog" %}} diff --git a/content/en/observability_pipelines/split_logs/splunk_tcp.md b/content/en/observability_pipelines/split_logs/splunk_tcp.md index b722df8bce1bb..fd029d0b4ef52 100644 --- a/content/en/observability_pipelines/split_logs/splunk_tcp.md +++ b/content/en/observability_pipelines/split_logs/splunk_tcp.md @@ -11,7 +11,7 @@ Configure your Splunk Heavy and Universal Forwarders to send logs to the Observa This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) -1. [Connect Splunk Forwarder to the Observability Pipelines Worker](#connect-splunk-forwarder-to-the-observability-pipelines-worker) +1. [Connecting Splunk Forwarder to the Observability Pipelines Worker](#connect-splunk-forwarder-to-the-observability-pipelines-worker) ## Prerequisites @@ -93,7 +93,7 @@ Enter the following information based on your selected logs destination. ### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. -1. Enter the Splunk TCP address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Enter the Splunk TCP address. This is the address and port where your applications are sending their logging data. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. {{< tabs >}} {{% tab "Datadog" %}} diff --git a/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md index 15da40c4afb7a..7b7e888380bfa 100644 --- a/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md @@ -15,7 +15,7 @@ This document walks you through the following steps: ## Prerequisites -### Sumo Logic Hosted Collect with HTTP Logs source +### Sumo Logic Hosted Collector with HTTP Logs source {{% observability_pipelines/prerequisites/sumo_logic %}} @@ -93,7 +93,7 @@ Enter the following information based on your selected logs destination. ### Install the Observability Pipelines Worker 1. Select your platform in the **Choose your installation platform** dropdown menu. -1. Enter the Sumo Logic address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. +1. Enter the Sumo Logic address. This is the address and port where your applications are sending their logging data. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. {{< tabs >}} {{% tab "Datadog" %}} diff --git a/layouts/shortcodes/observability_pipelines/configure_log_archive/docker.md b/layouts/shortcodes/observability_pipelines/configure_log_archive/docker.md index 7bb872bced594..7f3c99b51bcb3 100644 --- a/layouts/shortcodes/observability_pipelines/configure_log_archive/docker.md +++ b/layouts/shortcodes/observability_pipelines/configure_log_archive/docker.md @@ -5,7 +5,7 @@ Create an IAM user and attach the IAM policy you created earlier to it. 1. Navigate to the [IAM console][301]. 1. Select **Users** in the left side menu. 1. Click **Create user**. -1. Enter a user name. +1. Enter a username. 1. Click **Next**. 1. Select **Attach policies directly**. 1. Choose the IAM policy you created earlier to attach to the new IAM user. diff --git a/layouts/shortcodes/observability_pipelines/configure_log_archive/linux_apt.md b/layouts/shortcodes/observability_pipelines/configure_log_archive/linux_apt.md index e8fee27c1f758..9fe734ed44640 100644 --- a/layouts/shortcodes/observability_pipelines/configure_log_archive/linux_apt.md +++ b/layouts/shortcodes/observability_pipelines/configure_log_archive/linux_apt.md @@ -5,7 +5,7 @@ Create an IAM user and attach the IAM policy you created earlier to it. 1. Navigate to the [IAM console][501]. 1. Select **Users** in the left side menu. 1. Click **Create user**. -1. Enter a user name. +1. Enter a username. 1. Click **Next**. 1. Select **Attach policies directly**. 1. Choose the IAM policy you created earlier to attach to the new IAM user. diff --git a/layouts/shortcodes/observability_pipelines/configure_log_archive/linux_rpm.md b/layouts/shortcodes/observability_pipelines/configure_log_archive/linux_rpm.md index 937d97bc85856..21b2e37ddae74 100644 --- a/layouts/shortcodes/observability_pipelines/configure_log_archive/linux_rpm.md +++ b/layouts/shortcodes/observability_pipelines/configure_log_archive/linux_rpm.md @@ -5,7 +5,7 @@ Create an IAM user and attach the IAM policy you created earlier to it. 1. Navigate to the [IAM console][1001]. 1. Select **Users** in the left side menu. 1. Click **Create user**. -1. Enter a user name. +1. Enter a username. 1. Click **Next**. 1. Select **Attach policies directly**. 1. Choose the IAM policy you created earlier to attach to the new IAM user. diff --git a/layouts/shortcodes/observability_pipelines/destination_env_vars/datadog_archives.md b/layouts/shortcodes/observability_pipelines/destination_env_vars/datadog_archives.md index aa61311fbb6f2..4e5c66a26dd62 100644 --- a/layouts/shortcodes/observability_pipelines/destination_env_vars/datadog_archives.md +++ b/layouts/shortcodes/observability_pipelines/destination_env_vars/datadog_archives.md @@ -1 +1 @@ -Enter the AWS Access key ID and AWS secret access key for the S3 archive bucket you created earlier. \ No newline at end of file +Enter the AWS access key ID and AWS secret access key for the S3 archive bucket you created earlier. \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/destination_env_vars/splunk_hec.md b/layouts/shortcodes/observability_pipelines/destination_env_vars/splunk_hec.md index 295312fdc445d..5fe15de067991 100644 --- a/layouts/shortcodes/observability_pipelines/destination_env_vars/splunk_hec.md +++ b/layouts/shortcodes/observability_pipelines/destination_env_vars/splunk_hec.md @@ -1,5 +1,5 @@ -Enter your Splunk HEC token and theBase URL of the Splunk instance. See [prerequisites](#prerequisites) for more information. +Enter your Splunk HEC token and the base URL of the Splunk instance. See [prerequisites](#prerequisites) for more information. -The Worker passes the HEC token along to the Splunk collection endpoint. After the Observability Pipelines Worker processes the logs, it sends the logs to the Splunk instance URL specified. +The Worker passes the HEC token to the Splunk collection endpoint. After the Observability Pipelines Worker processes the logs, it sends the logs to the specified Splunk instance URL. **Note**: All logs are sent to the `/services/collector/event` endpoint regardless of whether you configure your Splunk HEC destination to encode your output in `JSON` or `raw`. \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/destination_settings/datadog_archives.md b/layouts/shortcodes/observability_pipelines/destination_settings/datadog_archives.md index 40704c5fabff5..c60d1c25dd990 100644 --- a/layouts/shortcodes/observability_pipelines/destination_settings/datadog_archives.md +++ b/layouts/shortcodes/observability_pipelines/destination_settings/datadog_archives.md @@ -1,4 +1,4 @@ -
If the Worker is ingesting logs that are not coming from the Datadog Agent and are shipped to an archive using the Observability Pipelines Datadog Archives destination, those logs are not tagged with reserved attributes. In addition, logs rehydrated into Datadog will not have standard attributes mapped. This means that when you rehydrate your logs into Log Management, you may lose Datadog telemetry, the ability to search logs easily, and the benefits of unified service tagging if you do not structure and remap your logs in Observability Pipelines before routing your logs to an archive.

For example, say your syslogs are sent to Datadog Archives and those logs have the status tagged as severity instead of the reserved attribute of status and the host tagged as host-name instead of the reserved attribute hostname. When these logs are rehydrated in Datadog, the status for the logs are all set to info and none of the logs will have a hostname tag. +
If the Worker is ingesting logs that are not coming from the Datadog Agent and are shipped to an archive using the Observability Pipelines Datadog Archives destination, those logs are not tagged with reserved attributes. In addition, logs rehydrated into Datadog will not have standard attributes mapped. This means that when you rehydrate your logs into Log Management, you may lose Datadog telemetry, the ability to search logs easily, and the benefits of unified service tagging if you do not structure and remap your logs in Observability Pipelines before routing your logs to an archive.

For example, say your syslogs are sent to Datadog Archives and those logs have the status tagged as severity instead of the reserved attribute of status and the host tagged as host-name instead of the reserved attribute hostname. When these logs are rehydrated in Datadog, the status for each log is set to info and none of the logs have a hostname tag.
1. Enter the S3 bucket name for the S3 bucket you created earlier. @@ -6,4 +6,4 @@ 1. Enter the key prefix. Prefixes are useful for partitioning objects, such as by creating an object key that stores objects under a particular directory. If using a prefix for this purpose, it must end in / to act as a directory path. A trailing / is not automatically added. 1. Select the storage class for your S3 bucket in the **Storage Class** dropdown menu. -Your AWS Access key ID and AWS secret access key is set as environment variables when you install the Worker later. +Your AWS access key ID and AWS secret access key is set as environment variables when you install the Worker later. diff --git a/layouts/shortcodes/observability_pipelines/install_worker/amazon_eks.md b/layouts/shortcodes/observability_pipelines/install_worker/amazon_eks.md index 9b8e48f2bc90e..2e65beda7a9a6 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/amazon_eks.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/amazon_eks.md @@ -4,7 +4,7 @@ ```shell helm repo add datadog https://helm.datadoghq.com ``` - If you already have Datadog chart repository, run the following command to make sure it is up to date: + If you already have the Datadog chart repository, run the following command to make sure it is up to date: ```shell helm repo update ``` diff --git a/layouts/shortcodes/observability_pipelines/install_worker/azure_aks.md b/layouts/shortcodes/observability_pipelines/install_worker/azure_aks.md index bee845a467f16..bed6937b0fd7d 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/azure_aks.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/azure_aks.md @@ -4,7 +4,7 @@ ```shell helm repo add datadog https://helm.datadoghq.com ``` - If you already have Datadog chart repository, run the following command to make sure it is up to date: + If you already have the Datadog chart repository, run the following command to make sure it is up to date: ```shell helm repo update ``` diff --git a/layouts/shortcodes/observability_pipelines/install_worker/cloudformation.md b/layouts/shortcodes/observability_pipelines/install_worker/cloudformation.md index 360e09ec63a29..7d26891718b2a 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/cloudformation.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/cloudformation.md @@ -1,15 +1,15 @@ 1. Select one of the options in the dropdown to provide the expected log volume for the pipeline: | Option | Description | | ---------- | ----------- | -| Unsure | Use this option if you are not able to project the log volume or you want to test the Worker. This option provisions the EC2 AutoScaling group with a maximum of 2 general purpose instances `t4g.large`. | -| 1-5 TB/day | This option provisions the EC2 AutoScaling group with a maximum of 2 compute optimized instances `c6g.large`. | -| 5-10 TB/day | This option provisions the EC2 AutoScaling group with a minimum of 2 and a maximum of 5 compute optimized instances `c6g.large`. | -| >10 TB/day | Datadog recommends this option for large-scale production deployments. It provisions the EC2 AutoScaling group with a minimum of 2 and a maximum of 10 compute optimized instances `c6g.xlarge`. | +| Unsure | Use this option if you are not able to project the log volume or you want to test the Worker. This option provisions the EC2 Auto Scaling group with a maximum of 2 general purpose `t4g.large` instances. | +| 1-5 TB/day | This option provisions the EC2 Auto Scaling group with a maximum of 2 compute optimized instances `c6g.large`. | +| 5-10 TB/day | This option provisions the EC2 Auto Scaling group with a minimum of 2 and a maximum of 5 compute optimized `c6g.large` instances. | +| >10 TB/day | Datadog recommends this option for large-scale production deployments. It provisions the EC2 Auto Scaling group with a minimum of 2 and a maximum of 10 compute optimized `c6g.xlarge` instances. | - **Note**: All other parameters are set to reasonable defaults for a Worker deployment but you can adjust them for your use case as needed in the AWS Console before creating the stack. + **Note**: All other parameters are set to reasonable defaults for a Worker deployment, but you can adjust them for your use case as needed in the AWS Console before creating the stack. 1. Select the AWS region you want to use to install the Worker. 1. Click **Select API key** to choose the Datadog API key you want to use. 1. Click **Launch CloudFormation Template** to navigate to the AWS Console to review the stack configuration and then launch it. Make sure the CloudFormation parameters are as expected. -1. Select the VPC and Subnet you want to use to install the Worker. -1. Review and check the necessary permissions checkboxes for IAM. Click Submit to create the stack. CloudFormation handles the installation at this point; the Worker instances are launched, the necessary software are downloaded, and start running automatically. -1.Navigate back to the Observability Pipelines installation page and click **Deploy**. +1. Select the VPC and subnet you want to use to install the Worker. +1. Review and check the necessary permissions checkboxes for IAM. Click **Submit** to create the stack. CloudFormation handles the installation at this point; the Worker instances are launched, the necessary software is downloaded, and the Worker starts automatically. +1. Navigate back to the Observability Pipelines installation page and click **Deploy**. diff --git a/layouts/shortcodes/observability_pipelines/install_worker/google_gke.md b/layouts/shortcodes/observability_pipelines/install_worker/google_gke.md index b507283389559..25aa333414db1 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/google_gke.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/google_gke.md @@ -4,7 +4,7 @@ ```shell helm repo add datadog https://helm.datadoghq.com ``` - If you already have Datadog chart repository, run the following command to make sure it is up to date: + If you already have the Datadog chart repository, run the following command to make sure it is up to date: ```shell helm repo update ``` diff --git a/layouts/shortcodes/observability_pipelines/install_worker/linux_apt.md b/layouts/shortcodes/observability_pipelines/install_worker/linux_apt.md index 53df395ee52da..1ee1a23d6b1ef 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/linux_apt.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/linux_apt.md @@ -1,7 +1,7 @@ 1. Click **Select API key** to choose the Datadog API key you want to use. 1. Run the one-step command provided in the UI to install the Worker: ```shell - DD_API_KEY= DD_OP_PIPELINE_ID= DD_SITE= bash -c "$(curl -L https://s3.amazonaws.com/dd-agent/scripts/install_script_op_worker2.sh)" + DD_API_KEY= DD_OP_PIPELINE_ID= DD_SITE= bash -c "$(curl -L https://s3.amazonaws.com/dd-agent/scripts/install_script_op_worker2.sh)" ``` If you prefer not to use the one-line installation script, follow these step-by-step instructions: @@ -27,11 +27,11 @@ If you prefer not to use the one-line installation script, follow these step-by- 1. Add your keys, site (for example, `datadoghq.com` for US1), source, and destination environment variables to the Worker's environment file: ```shell sudo cat < /etc/default/observability-pipelines-worker - DD_API_KEY= - DD_OP_PIPELINE_ID= - DD_SITE= - - + DD_API_KEY= + DD_OP_PIPELINE_ID= + DD_SITE= + + EOF ``` 1. Start the worker: diff --git a/layouts/shortcodes/observability_pipelines/install_worker/linux_rpm.md b/layouts/shortcodes/observability_pipelines/install_worker/linux_rpm.md index ba7e1c4971693..374ac162b62b0 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/linux_rpm.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/linux_rpm.md @@ -1,11 +1,11 @@ 1. Click **Select API key** to choose the Datadog API key you want to use. 1. Run the one-step command provided in the UI to install the Worker: ```shell - DD_API_KEY= DD_OP_PIPELINE_ID= DD_SITE= bash -c "$(curl -L https://s3.amazonaws.com/dd-agent/scripts/install_script_op_worker2.sh)" + DD_API_KEY= DD_OP_PIPELINE_ID= DD_SITE= bash -c "$(curl -L https://s3.amazonaws.com/dd-agent/scripts/install_script_op_worker2.sh)" ``` If you prefer not to use the one-line installation script, follow these step-by-step instructions: -1. Set up the Datadog `rpm` repo on your system with the below command. **Note**: If you are running RHEL 8.1 or CentOS 8.1, use `repo_gpgcheck=0` instead of `repo_gpgcheck=1` in the configuration above. +1. Set up the Datadog `rpm` repo on your system with the below command. **Note**: If you are running RHEL 8.1 or CentOS 8.1, use `repo_gpgcheck=0` instead of `repo_gpgcheck=1` in the configuration below. ```shell cat < /etc/yum.repos.d/datadog-observability-pipelines-worker.repo [observability-pipelines-worker] @@ -29,8 +29,8 @@ If you prefer not to use the one-line installation script, follow these step-by- DD_API_KEY= DD_OP_PIPELINE_ID= DD_SITE= - - + + EOF ``` 1. Start the worker: diff --git a/layouts/shortcodes/observability_pipelines/log_source_configuration/datadog_agent.md b/layouts/shortcodes/observability_pipelines/log_source_configuration/datadog_agent.md index 4b2e403cab82c..29e0d8e0022b0 100644 --- a/layouts/shortcodes/observability_pipelines/log_source_configuration/datadog_agent.md +++ b/layouts/shortcodes/observability_pipelines/log_source_configuration/datadog_agent.md @@ -1,6 +1,6 @@ ## Connect the Datadog Agent to the Observability Pipelines Worker -To send Datadog Agent logs to the Observability Pipelines Worker, update your agent configuration with the following: +To send Datadog Agent logs to the Observability Pipelines Worker, update your Agent configuration with the following: ``` observability_pipelines_worker: logs: diff --git a/layouts/shortcodes/observability_pipelines/log_source_configuration/sumo_logic.md b/layouts/shortcodes/observability_pipelines/log_source_configuration/sumo_logic.md index 97cd798fe7aae..ba90ec6742af2 100644 --- a/layouts/shortcodes/observability_pipelines/log_source_configuration/sumo_logic.md +++ b/layouts/shortcodes/observability_pipelines/log_source_configuration/sumo_logic.md @@ -6,7 +6,7 @@ To send logs to your Sumo Logic HTTP Source, you must point your existing logs u ```shell curl -v -X POST -T [local_file_name] http:///receiver/v1/http/ ``` -`` is the IP/URL of the host (or load balancer) associated with the Observability Pipelines Worker. For CloudFormation installs, the `LoadBalancerDNS` CloudFormation output has the correct URL to use. For Kubernetes installs, the internal DNS record of the Observability Pipelines Worker service can be used, eg. `opw-observability-pipelines-worker.default.svc.cluster.local`. +`` is the IP/URL of the host (or load balancer) associated with the Observability Pipelines Worker. For CloudFormation installs, the `LoadBalancerDNS` CloudFormation output has the correct URL to use. For Kubernetes installs, the internal DNS record of the Observability Pipelines Worker service can be used, such as `opw-observability-pipelines-worker.default.svc.cluster.local`. `` is the string that follows the last forward slash (`/`) in the upload URL for the HTTP source that you provided during the [Install your OP Worker](link to [Draft] OP 2.0 Doc instructions) step. diff --git a/layouts/shortcodes/observability_pipelines/prerequisites/datadog_agent.md b/layouts/shortcodes/observability_pipelines/prerequisites/datadog_agent.md index a546d0bdfc5ef..75eae41a162a3 100644 --- a/layouts/shortcodes/observability_pipelines/prerequisites/datadog_agent.md +++ b/layouts/shortcodes/observability_pipelines/prerequisites/datadog_agent.md @@ -1,9 +1,9 @@ -You already have the Datadog Agent installed to collect and route your logs to [Datadog Log Management][2001]. If you do not have Datadog Agents set up, see [Datadog Agent documentation][2002] for more information. +You already have the Datadog Agent installed to collect and route your logs to [Datadog Log Management][2001]. If you do not have Datadog Agents set up, see the [Datadog Agent documentation][2002] for more information. You have the following information available: - The Datadog Agent address, including the port, that your Observability Pipelines Worker will listen on for logs. - A Datadog API key with [Remote Configuration enabled][2003]. -- Your Datadog [`Site URL`][2004]. For example `datadoghq.com` for the site `US1`. +- Your Datadog [`Site URL`][2004]. For example, `datadoghq.com` for the site `US1`. [2001]: /logs/ [2002]: /agent/ diff --git a/layouts/shortcodes/observability_pipelines/prerequisites/splunk_tcp.md b/layouts/shortcodes/observability_pipelines/prerequisites/splunk_tcp.md index fa95632f48587..be856b1bbab98 100644 --- a/layouts/shortcodes/observability_pipelines/prerequisites/splunk_tcp.md +++ b/layouts/shortcodes/observability_pipelines/prerequisites/splunk_tcp.md @@ -1,6 +1,6 @@ To use Observability Pipelines's Splunk TCP source, you have a Splunk Enterprise or Cloud Instance alongside either a Splunk Universal Forwarder or a Splunk Heavy Forwarder routing data to your Splunk instance. You also have the following information available: -- The bind address that your Observability Pipelines Worker will listen on to receive logs. For example, `0.0.0.0:8088` -- The appropriate [TLS certificates][101] and the password you used to create your private key if your forwarders are globally configured to enable SSL +- The bind address that your Observability Pipelines Worker will listen on to receive logs. For example, `0.0.0.0:8088`. +- The appropriate [TLS certificates][101] and the password you used to create your private key if your forwarders are globally configured to enable SSL. See [Deploy a Universal Forwarder][102] or [Deploy a Heavy Forwarder][103] for more information on Splunk forwarders. diff --git a/layouts/shortcodes/observability_pipelines/processors/dedupe.md b/layouts/shortcodes/observability_pipelines/processors/dedupe.md index 3475bd0cd63fc..ff6de2869e1dc 100644 --- a/layouts/shortcodes/observability_pipelines/processors/dedupe.md +++ b/layouts/shortcodes/observability_pipelines/processors/dedupe.md @@ -1,12 +1,12 @@ The dedupe processor removes copies of data to reduce volume and noise. It caches 5000 messages at a time and compares your incoming logs traffic against the cached messages. For example, this processor can be used to keep only unique warning logs in the case where multiple identical warning logs are sent in succession. To set up the deduplicate processor: -1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) is checked for deduplication based on the rules below. +1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) are checked for deduplication based on the rules below. 1. In the **Type of deduplication** dropdown menu, select whether you want to `Match` on or `Ignore` the fields specified below. - - If `Match` is selected, then after a log passes through, future logs that have the same values for all of the fields you specify below is removed. - - If `Ignore` is selected, then after a log passes through, future logs that have the same values for all of their fields, *except* the ones you specify below is removed. + - If `Match` is selected, then after a log passes through, future logs that have the same values for all of the fields you specify below are removed. + - If `Ignore` is selected, then after a log passes through, future logs that have the same values for all of their fields, *except* the ones you specify below, are removed. 1. Enter the fields you want to match on, or ignore. Click **Add field** if you have additional fields you want to filter on. At least one field is required, and you can specify a maximum of three fields. - - Use the path notation `outer_field.inner_field` to match sub-fields. See [example](#path-notation-example). + - Use the path notation `outer_field.inner_field` to match subfields. See [example](#path-notation-example). ##### Path notation example diff --git a/layouts/shortcodes/observability_pipelines/processors/filter.md b/layouts/shortcodes/observability_pipelines/processors/filter.md index 30925edf6a191..46edb0d9026e5 100644 --- a/layouts/shortcodes/observability_pipelines/processors/filter.md +++ b/layouts/shortcodes/observability_pipelines/processors/filter.md @@ -1,4 +1,4 @@ This processor filters for logs that match the specified filter query and drops all non-matching logs. If a log is dropped at this processor, then none of the processors below this one receives that log. This processor can filter out unnecessary logs, such as debug or warning logs. To set up the filter processor: -- Define a **filter query**. The [query](#filter-query-syntax) you specify, filters for and passes on only logs that match it and drops all other logs. \ No newline at end of file +- Define a **filter query**. The [query](#filter-query-syntax) you specify filters for and passes on only logs that match it, dropping all other logs. \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/processors/quota.md b/layouts/shortcodes/observability_pipelines/processors/quota.md index b33f0c763cfa6..10975bd666777 100644 --- a/layouts/shortcodes/observability_pipelines/processors/quota.md +++ b/layouts/shortcodes/observability_pipelines/processors/quota.md @@ -3,7 +3,7 @@ The quota processor measures the logging traffic for logs that match the filter As an example, you can configure this processor to drop new logs or trigger an alert without dropping logs after the processor has received 10 million events from a certain service in the last 24 hours. To set up the quota processor: -1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) is counted towards the daily limit. +1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) are counted towards the daily limit. 1. In the **Unit for quota** dropdown menu, select if you want to measure the quota by the number of `Events` or by the `Volume` in bytes. 1. Set the daily quota limit and select the unit of magnitude for your desired quota. 1. Set the **Drop events** dropdown to **True** if you want to drop all events when your quota is met. Leave it at **False** if you plan to set up a [metric monitor][5001] that sends an alert when the quota is met. diff --git a/layouts/shortcodes/observability_pipelines/processors/remap.md b/layouts/shortcodes/observability_pipelines/processors/remap.md index e4194f962d697..a5782855e7831 100644 --- a/layouts/shortcodes/observability_pipelines/processors/remap.md +++ b/layouts/shortcodes/observability_pipelines/processors/remap.md @@ -3,28 +3,28 @@ The remap processor can add, drop, or rename fields within your individual log d ##### Add field Use **add field** to append a new key-value field to your log. -To set up add field processor: -1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) is processed. +To set up the add field processor: +1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) are processed. 1. Enter the key and value you want to add. To specify a nested field for your key, use the [path notation](#path-notation-example): `outer_field.inner_field`. All values are stored as strings. - **Note**: If the key you specify already exists, then that key's original value is overwritten. + **Note**: If the key you specify already exists, that key's original value is overwritten. ##### Drop field Use **drop field** to drop a field from logging data that matches the filter you specify below. To set up the drop field processor: -1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) is processed. +1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) are processed. 1. Enter the key of the field you want to drop. To specify a nested field for your specified key, use the [path notation](#path-notation-example): `outer_field.inner_field`. - **Note**: If your specified key does not exist, then your log will be unimpacted. + **Note**: If your specified key does not exist, your log will be unimpacted. ##### Rename field Use **rename field** to rename a field within your log. To set up the rename field processor: -1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) is processed. +1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) are processed. 1. Enter the name of the field you want to rename in the **Source key** field. To specify a nested field for your key, use the [path notation](#path-notation-example): `outer_field.inner_field`. Once renamed, your original field is deleted unless you enable the **Preserve source tag** checkbox described below. - **Note**: If the source key you specify doesn't exist, then your target has a default null value applied to it. + **Note**: If the source key you specify doesn't exist, a default `null` value is applied to your target. 1. In the **Target key** field, enter the name you want the source field to be renamed to. To specify a nested field for your specified key, use the [path notation](#path-notation-example) `outer_field.inner_field`. **Note**: If the target key you specify already exists, then that key's original value is overwritten. 1. Optionally, check the **Preserve source tag** box if you want to retain the original source field and duplicate the information from your source key to your specified target key. If this box is not checked, the source key is dropped after it is renamed. diff --git a/layouts/shortcodes/observability_pipelines/processors/sample.md b/layouts/shortcodes/observability_pipelines/processors/sample.md index bb53273f7d02e..61995c14295b0 100644 --- a/layouts/shortcodes/observability_pipelines/processors/sample.md +++ b/layouts/shortcodes/observability_pipelines/processors/sample.md @@ -1,7 +1,7 @@ This processor samples your logging traffic for a representative subset at the rate that you define, dropping the remaining logs. As an example, you can use this processor to sample 20% of logs from a noisy non-critical service. -The sampling only applies to logs that match your filter query and does not impact other logs. If a log is dropped at this processor, then none of the processors below receives that log. +The sampling only applies to logs that match your filter query and does not impact other logs. If a log is dropped at this processor, none of the processors below receives that log. To set up the sample processor: -1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) is sampled at the specified retention rate below. +1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) are sampled at the specified retention rate below. 1. Set **retain** field with your desired sampling rate expressed as a percentage. For example, entering `1` means 1% of logs is retained out of all the logs that match the filter query. diff --git a/layouts/shortcodes/observability_pipelines/processors/sensitive_data_scanner.md b/layouts/shortcodes/observability_pipelines/processors/sensitive_data_scanner.md index 6d4c591be40f0..462e2330e6c8f 100644 --- a/layouts/shortcodes/observability_pipelines/processors/sensitive_data_scanner.md +++ b/layouts/shortcodes/observability_pipelines/processors/sensitive_data_scanner.md @@ -1,9 +1,9 @@ The Sensitive Data Scanner processor scans logs to detect and redact or hash sensitive information such as PII, PCI, and custom sensitive data. You can pick from our library of predefined rules, or input custom Regex rules to scan for sensitive data. To set up the sensitive data scanner processor: -1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) is scanned and processed. -1. Click **Add Scanning Rule** -1. Name your scanning rule +1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) are scanned and processed. +1. Click **Add Scanning Rule**. +1. Name your scanning rule. 1. In the **Select scanning rule type** field, select whether you want to create a rule from the library or create a custom rule. - If you are creating a rule from the library, select the library pattern you want to use. - If you are creating a custom rule, enter the regex pattern to check against the data. @@ -13,5 +13,5 @@ To set up the sensitive data scanner processor: 1. In the **Define action on match** section, select the action you want to take for the matched information. Redaction, partial redaction, and hashing are all irreversible actions. - If you are redacting the information, specify the text to replace the matched data. - If you are partially redacting the information, specify the number of characters you want to redact and whether to apply the partial redaction to the start or the end of your matched data. - - **Note**: If you select hashing, the UTF-8 bytes of the match are hashed with the 64-bit fingerprint of farmhash. + - **Note**: If you select hashing, the UTF-8 bytes of the match are hashed with the 64-bit fingerprint of FarmHash. 1. Optionally, add tags to all events that match the regex, so that you can filter, analyze, and alert on the events. \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/source_settings/splunk_hec.md b/layouts/shortcodes/observability_pipelines/source_settings/splunk_hec.md index f586e2876c990..b496fe1254db0 100644 --- a/layouts/shortcodes/observability_pipelines/source_settings/splunk_hec.md +++ b/layouts/shortcodes/observability_pipelines/source_settings/splunk_hec.md @@ -1,4 +1,4 @@ Optionally, check the box to enable TLS. If you enable TLS, the following certificate and key files are required: -- `Server Certificate Path`: The path to the certificate file that has been signed by your Certificate Authority (CA) Root File in either DER, PEM (X.509). -- `CA Certificate Path`: The path to the certificate file that is your Certificate Authority (CA) Root File in either DER, PEM (X.509). -- `Private Key Path`: The path to the `.key` private key file that belongs to your Server Certificate Path in either DER or PEM (PKCS#8) format. +- `Server Certificate Path`: The path to the certificate file that has been signed by your Certificate Authority (CA) Root File in DER or PEM (X.509). +- `CA Certificate Path`: The path to the certificate file that is your Certificate Authority (CA) Root File in DER or PEM (X.509). +- `Private Key Path`: The path to the `.key` private key file that belongs to your Server Certificate Path in DER or PEM (PKCS#8) format. diff --git a/layouts/shortcodes/observability_pipelines/source_settings/splunk_tcp.md b/layouts/shortcodes/observability_pipelines/source_settings/splunk_tcp.md index 53ecd029c5832..a93c0b8956049 100644 --- a/layouts/shortcodes/observability_pipelines/source_settings/splunk_tcp.md +++ b/layouts/shortcodes/observability_pipelines/source_settings/splunk_tcp.md @@ -1,4 +1,4 @@ Optionally, check the box to enable TLS. If you enable TLS, the following certificate and key files are required: -- `Server Certificate Path`: The path to the certificate file that has been signed by - your Certificate Authority (CA) Root File in either DER, PEM (X.509). -- `CA Certificate Path`: The path to the certificate file that is your Certificate Authority (CA) Root File in either DER, PEM (X.509). -- `Private Key Path`: The path to the `.key` private key file that belongs to your Server Certificate Path in either DER or PEM (PKCS#8) format. \ No newline at end of file +- `Server Certificate Path`: The path to the certificate file that has been signed by your Certificate Authority (CA) Root File in DER or PEM (X.509). +- `CA Certificate Path`: The path to the certificate file that is your Certificate Authority (CA) Root File in either DER or PEM (X.509). +- `Private Key Path`: The path to the `.key` private key file that belongs to your Server Certificate Path in DER or PEM (PKCS#8) format. \ No newline at end of file From 6d3f5265cb5c932a97094ec57066d4695565dd46 Mon Sep 17 00:00:00 2001 From: May Lee Date: Mon, 8 Apr 2024 11:38:09 -0400 Subject: [PATCH 69/88] Apply suggestions from code review Co-authored-by: Jen Gilbert --- content/en/observability_pipelines/architecture.md | 3 +-- .../connect_s3_to_datadog_log_archives.md | 2 +- .../destination_settings/datadog_archives.md | 2 +- .../observability_pipelines/install_worker/amazon_eks.md | 2 +- .../observability_pipelines/install_worker/azure_aks.md | 2 +- .../observability_pipelines/install_worker/google_gke.md | 2 +- .../log_source_configuration/datadog_agent.md | 2 +- .../log_source_configuration/sumo_logic.md | 2 +- .../observability_pipelines/processors/dedupe.md | 2 +- .../observability_pipelines/processors/remap.md | 8 ++++---- 10 files changed, 13 insertions(+), 14 deletions(-) diff --git a/content/en/observability_pipelines/architecture.md b/content/en/observability_pipelines/architecture.md index 198cb34be40bc..a36050336c660 100644 --- a/content/en/observability_pipelines/architecture.md +++ b/content/en/observability_pipelines/architecture.md @@ -55,7 +55,7 @@ Due to Observability Pipelines Worker's affine type system, memory is rarely con ### Disk sizing -If you're using Observability Pipelines Worker's disk buffers for high durability (recommended), provision at least 36 GiB per vCPU of disk space. Following the recommendation of 8 vCPUs, provision 288 GiB of disk space (10 MiB * 60 seconds * 60 minutes * 8 vCPUs). +If you're using Observability Pipelines Worker's disk buffers for high durability (recommended), provision at least 36 GiB per vCPU of disk space. The recommended sizes are calculated at Observability Pipelines Worker's 10 MiB/s/vCPU throughput for one hour. For example, an 8 vCPU machine would require 288 GiB of disk space (10 MiB * 60 seconds * 60 minutes * 8 vCPUs). | Cloud Provider| Recommendation* | | ------------- | --------------------------------------------------------------| @@ -64,7 +64,6 @@ If you're using Observability Pipelines Worker's disk buffers for high durabilit | Google Cloud | Balanced or SSD persistent disks, 36 GiB per vCPU | | Private | Network-based block storage equivalent, 36 GiB per vCPU | -*The recommended sizes are calculated at Observability Pipelines Worker's 10 MiB/s/vCPU throughput for one hour. For example, an 8 vCPU machine would require 288 GiB of disk space (10 MiB * 60 seconds * 60 minutes * 8 vCPUs). ## Capacity planning and scaling diff --git a/layouts/shortcodes/observability_pipelines/configure_log_archive/connect_s3_to_datadog_log_archives.md b/layouts/shortcodes/observability_pipelines/configure_log_archive/connect_s3_to_datadog_log_archives.md index 3c5382f05f4b5..014988f027e71 100644 --- a/layouts/shortcodes/observability_pipelines/configure_log_archive/connect_s3_to_datadog_log_archives.md +++ b/layouts/shortcodes/observability_pipelines/configure_log_archive/connect_s3_to_datadog_log_archives.md @@ -5,7 +5,7 @@ 1. Enter a descriptive archive name. 1. Add a query that filters out all logs going through log pipelines so that none of those logs go into this archive. For example, add the query `observability_pipelines_read_only_archive`, assuming no logs going through the pipeline have that tag added. 1. Select **AWS S3**. -1. Select the AWS Account that your bucket is in. +1. Select the AWS account that your bucket is in. 1. Enter the name of the S3 bucket. 1. Optionally, enter a path. 1. Check the confirmation statement. diff --git a/layouts/shortcodes/observability_pipelines/destination_settings/datadog_archives.md b/layouts/shortcodes/observability_pipelines/destination_settings/datadog_archives.md index c60d1c25dd990..696b13bd69aa1 100644 --- a/layouts/shortcodes/observability_pipelines/destination_settings/datadog_archives.md +++ b/layouts/shortcodes/observability_pipelines/destination_settings/datadog_archives.md @@ -3,7 +3,7 @@ 1. Enter the S3 bucket name for the S3 bucket you created earlier. 1. Enter the AWS region the S3 bucket is in. -1. Enter the key prefix. Prefixes are useful for partitioning objects, such as by creating an object key that stores objects under a particular directory. If using a prefix for this purpose, it must end in / to act as a directory path. A trailing / is not automatically added. +1. Enter the key prefix. Prefixes are useful for partitioning objects, such as by creating an object key that stores objects under a particular directory. If using a prefix for this purpose, it must end in `/` to act as a directory path. A trailing `/` is not automatically added. 1. Select the storage class for your S3 bucket in the **Storage Class** dropdown menu. Your AWS access key ID and AWS secret access key is set as environment variables when you install the Worker later. diff --git a/layouts/shortcodes/observability_pipelines/install_worker/amazon_eks.md b/layouts/shortcodes/observability_pipelines/install_worker/amazon_eks.md index 2e65beda7a9a6..e9e27b5589538 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/amazon_eks.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/amazon_eks.md @@ -19,7 +19,7 @@ --set service.ports[0].protocol=TCP,service.ports[0].port=,service.ports[0].targetPort= \ datadog/observability-pipelines-worker ``` - **Note**: By default, the Kubernetes Service maps incoming port `` to the port the Worker is listening on ``. If you want to map the Worker's pod port to a different incoming port of the Kubernetes Service, use the following `service.ports[0].port` and `service.ports[0].targetPort` values in the command: + **Note**: By default, the Kubernetes Service maps incoming port `` to the port the Worker is listening on (``). If you want to map the Worker's pod port to a different incoming port of the Kubernetes Service, use the following `service.ports[0].port` and `service.ports[0].targetPort` values in the command: ``` --set service.ports[0].protocol=TCP,service.ports[0].port=8088,service.ports[0].targetPort=8282 ``` diff --git a/layouts/shortcodes/observability_pipelines/install_worker/azure_aks.md b/layouts/shortcodes/observability_pipelines/install_worker/azure_aks.md index bed6937b0fd7d..d9687404e034c 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/azure_aks.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/azure_aks.md @@ -19,7 +19,7 @@ --set service.ports[0].protocol=TCP,service.ports[0].port=,service.ports[0].targetPort= \ datadog/observability-pipelines-worker ``` - **Note**: By default, the Kubernetes Service maps incoming port `` to the port the Worker is listening on ``. If you want to map the Worker's pod port to a different incoming port of the Kubernetes Service, use the following `service.ports[0].port` and `service.ports[0].targetPort` values in the command: + **Note**: By default, the Kubernetes Service maps incoming port `` to the port the Worker is listening on (``). If you want to map the Worker's pod port to a different incoming port of the Kubernetes Service, use the following `service.ports[0].port` and `service.ports[0].targetPort` values in the command: ``` --set service.ports[0].protocol=TCP,service.ports[0].port=8088,service.ports[0].targetPort=8282 ``` diff --git a/layouts/shortcodes/observability_pipelines/install_worker/google_gke.md b/layouts/shortcodes/observability_pipelines/install_worker/google_gke.md index 25aa333414db1..1afe7e7a69133 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/google_gke.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/google_gke.md @@ -19,7 +19,7 @@ --set service.ports[0].protocol=TCP,service.ports[0].port=,service.ports[0].targetPort= \ datadog/observability-pipelines-worker ``` - **Note**: By default, the Kubernetes Service maps incoming port `` to the port the Worker is listening on ``. If you want to map the Worker's pod port to a different incoming port of the Kubernetes Service, use the following `service.ports[0].port` and `service.ports[0].targetPort` values in the command: + **Note**: By default, the Kubernetes Service maps incoming port `` to the port the Worker is listening on (``). If you want to map the Worker's pod port to a different incoming port of the Kubernetes Service, use the following `service.ports[0].port` and `service.ports[0].targetPort` values in the command: ``` --set service.ports[0].protocol=TCP,service.ports[0].port=8088,service.ports[0].targetPort=8282 ``` diff --git a/layouts/shortcodes/observability_pipelines/log_source_configuration/datadog_agent.md b/layouts/shortcodes/observability_pipelines/log_source_configuration/datadog_agent.md index 29e0d8e0022b0..fbc8c4ac281b7 100644 --- a/layouts/shortcodes/observability_pipelines/log_source_configuration/datadog_agent.md +++ b/layouts/shortcodes/observability_pipelines/log_source_configuration/datadog_agent.md @@ -10,4 +10,4 @@ observability_pipelines_worker: `` is the IP/URL of the host (or load balancer) associated with the Observability Pipelines Worker. For CloudFormation installs, the `LoadBalancerDNS` CloudFormation output has the correct URL to use. For Kubernetes installs, the internal DNS record of the Observability Pipelines Worker service can be used. For example: `opw-observability-pipelines-worker.default.svc.cluster.local`. -At this point, your observability data should be going to the Worker, processed by the pipeline and delivered to the DataDog Logs. +At this point, your observability data should be going to the Worker, processed by the pipeline, and delivered to Datadog. diff --git a/layouts/shortcodes/observability_pipelines/log_source_configuration/sumo_logic.md b/layouts/shortcodes/observability_pipelines/log_source_configuration/sumo_logic.md index ba90ec6742af2..b1d3cd32fcce7 100644 --- a/layouts/shortcodes/observability_pipelines/log_source_configuration/sumo_logic.md +++ b/layouts/shortcodes/observability_pipelines/log_source_configuration/sumo_logic.md @@ -8,7 +8,7 @@ curl -v -X POST -T [local_file_name] http:///receiver/v1/http/` is the IP/URL of the host (or load balancer) associated with the Observability Pipelines Worker. For CloudFormation installs, the `LoadBalancerDNS` CloudFormation output has the correct URL to use. For Kubernetes installs, the internal DNS record of the Observability Pipelines Worker service can be used, such as `opw-observability-pipelines-worker.default.svc.cluster.local`. -`` is the string that follows the last forward slash (`/`) in the upload URL for the HTTP source that you provided during the [Install your OP Worker](link to [Draft] OP 2.0 Doc instructions) step. +`` is the string that follows the last forward slash (`/`) in the upload URL for the HTTP source that you provided in the [Install the Observability Pipelines Worker](#install-the-observability-pipelines-worker) step. At this point, your logs should be going to the Worker, processed by the pipeline, and uploaded to the Sumo Logic HTTP Source. diff --git a/layouts/shortcodes/observability_pipelines/processors/dedupe.md b/layouts/shortcodes/observability_pipelines/processors/dedupe.md index ff6de2869e1dc..030603c068545 100644 --- a/layouts/shortcodes/observability_pipelines/processors/dedupe.md +++ b/layouts/shortcodes/observability_pipelines/processors/dedupe.md @@ -6,7 +6,7 @@ To set up the deduplicate processor: - If `Match` is selected, then after a log passes through, future logs that have the same values for all of the fields you specify below are removed. - If `Ignore` is selected, then after a log passes through, future logs that have the same values for all of their fields, *except* the ones you specify below, are removed. 1. Enter the fields you want to match on, or ignore. Click **Add field** if you have additional fields you want to filter on. At least one field is required, and you can specify a maximum of three fields. - - Use the path notation `outer_field.inner_field` to match subfields. See [example](#path-notation-example). + - Use the path notation `.` to match subfields. See [example](#path-notation-example). ##### Path notation example diff --git a/layouts/shortcodes/observability_pipelines/processors/remap.md b/layouts/shortcodes/observability_pipelines/processors/remap.md index a5782855e7831..a39ac86123c0d 100644 --- a/layouts/shortcodes/observability_pipelines/processors/remap.md +++ b/layouts/shortcodes/observability_pipelines/processors/remap.md @@ -5,7 +5,7 @@ Use **add field** to append a new key-value field to your log. To set up the add field processor: 1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) are processed. -1. Enter the key and value you want to add. To specify a nested field for your key, use the [path notation](#path-notation-example): `outer_field.inner_field`. All values are stored as strings. +1. Enter the key and value you want to add. To specify a nested field for your key, use the [path notation](#path-notation-example): `.`. All values are stored as strings. **Note**: If the key you specify already exists, that key's original value is overwritten. ##### Drop field @@ -14,7 +14,7 @@ Use **drop field** to drop a field from logging data that matches the filter you To set up the drop field processor: 1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) are processed. -1. Enter the key of the field you want to drop. To specify a nested field for your specified key, use the [path notation](#path-notation-example): `outer_field.inner_field`. +1. Enter the key of the field you want to drop. To specify a nested field for your specified key, use the [path notation](#path-notation-example): `.`. **Note**: If your specified key does not exist, your log will be unimpacted. ##### Rename field @@ -23,9 +23,9 @@ Use **rename field** to rename a field within your log. To set up the rename field processor: 1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) are processed. -1. Enter the name of the field you want to rename in the **Source key** field. To specify a nested field for your key, use the [path notation](#path-notation-example): `outer_field.inner_field`. Once renamed, your original field is deleted unless you enable the **Preserve source tag** checkbox described below. +1. Enter the name of the field you want to rename in the **Source key** field. To specify a nested field for your key, use the [path notation](#path-notation-example): `.`. Once renamed, your original field is deleted unless you enable the **Preserve source tag** checkbox described below. **Note**: If the source key you specify doesn't exist, a default `null` value is applied to your target. -1. In the **Target key** field, enter the name you want the source field to be renamed to. To specify a nested field for your specified key, use the [path notation](#path-notation-example) `outer_field.inner_field`. +1. In the **Target key** field, enter the name you want the source field to be renamed to. To specify a nested field for your specified key, use the [path notation](#path-notation-example): `.`. **Note**: If the target key you specify already exists, then that key's original value is overwritten. 1. Optionally, check the **Preserve source tag** box if you want to retain the original source field and duplicate the information from your source key to your specified target key. If this box is not checked, the source key is dropped after it is renamed. From ad26c0012d2127bd3e0cd357b46b5f5f33849733 Mon Sep 17 00:00:00 2001 From: May Lee Date: Tue, 9 Apr 2024 10:01:36 -0400 Subject: [PATCH 70/88] capitalize placeholders and small edits --- content/en/observability_pipelines/_index.md | 23 ++++++++++--------- .../install_worker/amazon_eks.md | 12 +++++----- .../install_worker/azure_aks.md | 12 +++++----- .../install_worker/docker.md | 12 +++++----- .../install_worker/google_gke.md | 12 +++++----- .../processors/dedupe.md | 5 ++-- .../processors/quota.md | 1 + .../processors/sample.md | 2 +- .../source_settings/splunk_hec.md | 2 +- .../source_settings/splunk_tcp.md | 2 +- 10 files changed, 43 insertions(+), 40 deletions(-) diff --git a/content/en/observability_pipelines/_index.md b/content/en/observability_pipelines/_index.md index 39ea42837e30c..04ba839429b5f 100644 --- a/content/en/observability_pipelines/_index.md +++ b/content/en/observability_pipelines/_index.md @@ -35,17 +35,18 @@ The following sources are available: ## Get started -1. Navigate to [Observability Pipelines][LINK]. +1. Navigate to [Observability Pipelines][1]. 1. Select a use case: - - [Log volume control][1] - - [Dual ship logs][2] - - [Split logs][3] - - [Archive logs to Datadog Archives][4] - - [Sensitive data redaction][5] + - [Log volume control][2] + - [Dual ship logs][3] + - [Split logs][4] + - [Archive logs to Datadog Archives][5] + - [Sensitive data redaction][6] 1. Enable monitors. -[1]: /observability_pipelines/log_volume_control/ -[2]: /observability_pipelines/dual_ship_logs/ -[3]: /observability_pipelines/split_logs/ -[4]: /observability_pipelines/archive_logs/ -[5]: /observability_pipelines/sensitive_data_redaction/ \ No newline at end of file +[1]: https://app.datadoghq.com/observability-pipelines +[2]: /observability_pipelines/log_volume_control/ +[3]: /observability_pipelines/dual_ship_logs/ +[4]: /observability_pipelines/split_logs/ +[5]: /observability_pipelines/archive_logs/ +[6]: /observability_pipelines/sensitive_data_redaction/ \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/install_worker/amazon_eks.md b/layouts/shortcodes/observability_pipelines/install_worker/amazon_eks.md index e9e27b5589538..6d739318e06db 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/amazon_eks.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/amazon_eks.md @@ -12,14 +12,14 @@ ```shell helm upgrade --install opw \ -f aws_eks.yaml \ - --set datadog.apiKey= \ - --set datadog.pipelineId= \ - --set \ - --set \ - --set service.ports[0].protocol=TCP,service.ports[0].port=,service.ports[0].targetPort= \ + --set datadog.apiKey= \ + --set datadog.pipelineId= \ + --set \ + --set \ + --set service.ports[0].protocol=TCP,service.ports[0].port=,service.ports[0].targetPort= \ datadog/observability-pipelines-worker ``` - **Note**: By default, the Kubernetes Service maps incoming port `` to the port the Worker is listening on (``). If you want to map the Worker's pod port to a different incoming port of the Kubernetes Service, use the following `service.ports[0].port` and `service.ports[0].targetPort` values in the command: + **Note**: By default, the Kubernetes Service maps incoming port `` to the port the Worker is listening on (``). If you want to map the Worker's pod port to a different incoming port of the Kubernetes Service, use the following `service.ports[0].port` and `service.ports[0].targetPort` values in the command: ``` --set service.ports[0].protocol=TCP,service.ports[0].port=8088,service.ports[0].targetPort=8282 ``` diff --git a/layouts/shortcodes/observability_pipelines/install_worker/azure_aks.md b/layouts/shortcodes/observability_pipelines/install_worker/azure_aks.md index d9687404e034c..dcb4998252d37 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/azure_aks.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/azure_aks.md @@ -12,14 +12,14 @@ ```shell helm upgrade --install opw \ -f azure_aks.yaml \ - --set datadog.apiKey= \ - --set datadog.pipelineId= \ - --set \ - --set \ - --set service.ports[0].protocol=TCP,service.ports[0].port=,service.ports[0].targetPort= \ + --set datadog.apiKey= \ + --set datadog.pipelineId= \ + --set \ + --set \ + --set service.ports[0].protocol=TCP,service.ports[0].port=,service.ports[0].targetPort= \ datadog/observability-pipelines-worker ``` - **Note**: By default, the Kubernetes Service maps incoming port `` to the port the Worker is listening on (``). If you want to map the Worker's pod port to a different incoming port of the Kubernetes Service, use the following `service.ports[0].port` and `service.ports[0].targetPort` values in the command: + **Note**: By default, the Kubernetes Service maps incoming port `` to the port the Worker is listening on (``). If you want to map the Worker's pod port to a different incoming port of the Kubernetes Service, use the following `service.ports[0].port` and `service.ports[0].targetPort` values in the command: ``` --set service.ports[0].protocol=TCP,service.ports[0].port=8088,service.ports[0].targetPort=8282 ``` diff --git a/layouts/shortcodes/observability_pipelines/install_worker/docker.md b/layouts/shortcodes/observability_pipelines/install_worker/docker.md index e1c140776f389..e786b01799339 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/docker.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/docker.md @@ -1,15 +1,15 @@ 1. Click **Select API key** to choose the Datadog API key you want to use. 1. Run the command provided in the UI to install the Worker. The command is automatically populated with the environment variables you entered earlier. ```shell - docker run -i -e DD_API_KEY= \ - -e DD_OP_PIPELINE_ID= \ - -e DD_SITE= \ - -e \ - -e \ + docker run -i -e DD_API_KEY= \ + -e DD_OP_PIPELINE_ID= \ + -e DD_SITE= \ + -e \ + -e \ -p 8088:8088 \ datadog/observability-pipelines-worker run ``` - **Note**: By default, the `docker run` command exposes the same port the Worker is listening on. If you want to map the Worker’s container port to a different port on the Docker host, use the `-p | --publish` option in the command: + **Note**: By default, the `docker run` command exposes the same port the Worker is listening on. If you want to map the Worker's container port to a different port on the Docker host, use the `-p | --publish` option in the command: ``` -p 8282:8088 datadog/observability-pipelines-worker run ``` diff --git a/layouts/shortcodes/observability_pipelines/install_worker/google_gke.md b/layouts/shortcodes/observability_pipelines/install_worker/google_gke.md index 1afe7e7a69133..36fc55ee97f57 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/google_gke.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/google_gke.md @@ -12,14 +12,14 @@ ```shell helm upgrade --install opw \ -f google_gke.yaml \ - --set datadog.apiKey= \ - --set datadog.pipelineId= \ - --set \ - --set \ - --set service.ports[0].protocol=TCP,service.ports[0].port=,service.ports[0].targetPort= \ + --set datadog.apiKey= \ + --set datadog.pipelineId= \ + --set \ + --set \ + --set service.ports[0].protocol=TCP,service.ports[0].port=,service.ports[0].targetPort= \ datadog/observability-pipelines-worker ``` - **Note**: By default, the Kubernetes Service maps incoming port `` to the port the Worker is listening on (``). If you want to map the Worker's pod port to a different incoming port of the Kubernetes Service, use the following `service.ports[0].port` and `service.ports[0].targetPort` values in the command: + **Note**: By default, the Kubernetes Service maps incoming port `` to the port the Worker is listening on (``). If you want to map the Worker's pod port to a different incoming port of the Kubernetes Service, use the following `service.ports[0].port` and `service.ports[0].targetPort` values in the command: ``` --set service.ports[0].protocol=TCP,service.ports[0].port=8088,service.ports[0].targetPort=8282 ``` diff --git a/layouts/shortcodes/observability_pipelines/processors/dedupe.md b/layouts/shortcodes/observability_pipelines/processors/dedupe.md index 030603c068545..75128238544eb 100644 --- a/layouts/shortcodes/observability_pipelines/processors/dedupe.md +++ b/layouts/shortcodes/observability_pipelines/processors/dedupe.md @@ -5,9 +5,10 @@ To set up the deduplicate processor: 1. In the **Type of deduplication** dropdown menu, select whether you want to `Match` on or `Ignore` the fields specified below. - If `Match` is selected, then after a log passes through, future logs that have the same values for all of the fields you specify below are removed. - If `Ignore` is selected, then after a log passes through, future logs that have the same values for all of their fields, *except* the ones you specify below, are removed. -1. Enter the fields you want to match on, or ignore. Click **Add field** if you have additional fields you want to filter on. At least one field is required, and you can specify a maximum of three fields. +1. Enter the fields you want to match on, or ignore. At least one field is required, and you can specify a maximum of three fields. - Use the path notation `.` to match subfields. See [example](#path-notation-example). - +1. Click **Add field** to add additional fields you want to filter on. + ##### Path notation example For the following message structure, use `outer_key.inner_key.double_inner_key` to refer to the key with the value `double_inner_value`. diff --git a/layouts/shortcodes/observability_pipelines/processors/quota.md b/layouts/shortcodes/observability_pipelines/processors/quota.md index 10975bd666777..b2da539a2acc3 100644 --- a/layouts/shortcodes/observability_pipelines/processors/quota.md +++ b/layouts/shortcodes/observability_pipelines/processors/quota.md @@ -3,6 +3,7 @@ The quota processor measures the logging traffic for logs that match the filter As an example, you can configure this processor to drop new logs or trigger an alert without dropping logs after the processor has received 10 million events from a certain service in the last 24 hours. To set up the quota processor: +1. Enter a name for the processor. 1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) are counted towards the daily limit. 1. In the **Unit for quota** dropdown menu, select if you want to measure the quota by the number of `Events` or by the `Volume` in bytes. 1. Set the daily quota limit and select the unit of magnitude for your desired quota. diff --git a/layouts/shortcodes/observability_pipelines/processors/sample.md b/layouts/shortcodes/observability_pipelines/processors/sample.md index 61995c14295b0..60f39c4ec921e 100644 --- a/layouts/shortcodes/observability_pipelines/processors/sample.md +++ b/layouts/shortcodes/observability_pipelines/processors/sample.md @@ -4,4 +4,4 @@ The sampling only applies to logs that match your filter query and does not impa To set up the sample processor: 1. Define a **filter query**. Only logs that match the specified [filter query](#filter-query-syntax) are sampled at the specified retention rate below. -1. Set **retain** field with your desired sampling rate expressed as a percentage. For example, entering `1` means 1% of logs is retained out of all the logs that match the filter query. +1. Set the **retain** field with your desired sampling rate expressed as a percentage. For example, entering `1` means 1% of logs is retained out of all the logs that match the filter query. diff --git a/layouts/shortcodes/observability_pipelines/source_settings/splunk_hec.md b/layouts/shortcodes/observability_pipelines/source_settings/splunk_hec.md index b496fe1254db0..79a866888e8b4 100644 --- a/layouts/shortcodes/observability_pipelines/source_settings/splunk_hec.md +++ b/layouts/shortcodes/observability_pipelines/source_settings/splunk_hec.md @@ -1,4 +1,4 @@ -Optionally, check the box to enable TLS. If you enable TLS, the following certificate and key files are required: +Optionally, toggle the switch to enable TLS. If you enable TLS, the following certificate and key files are required: - `Server Certificate Path`: The path to the certificate file that has been signed by your Certificate Authority (CA) Root File in DER or PEM (X.509). - `CA Certificate Path`: The path to the certificate file that is your Certificate Authority (CA) Root File in DER or PEM (X.509). - `Private Key Path`: The path to the `.key` private key file that belongs to your Server Certificate Path in DER or PEM (PKCS#8) format. diff --git a/layouts/shortcodes/observability_pipelines/source_settings/splunk_tcp.md b/layouts/shortcodes/observability_pipelines/source_settings/splunk_tcp.md index a93c0b8956049..6498395b64fd8 100644 --- a/layouts/shortcodes/observability_pipelines/source_settings/splunk_tcp.md +++ b/layouts/shortcodes/observability_pipelines/source_settings/splunk_tcp.md @@ -1,4 +1,4 @@ -Optionally, check the box to enable TLS. If you enable TLS, the following certificate and key files are required: +Optionally, click the toggle to enable TLS. If you enable TLS, the following certificate and key files are required: - `Server Certificate Path`: The path to the certificate file that has been signed by your Certificate Authority (CA) Root File in DER or PEM (X.509). - `CA Certificate Path`: The path to the certificate file that is your Certificate Authority (CA) Root File in either DER or PEM (X.509). - `Private Key Path`: The path to the `.key` private key file that belongs to your Server Certificate Path in DER or PEM (PKCS#8) format. \ No newline at end of file From 036b304fdc2c5c063cfe268f226df62cc61a649d Mon Sep 17 00:00:00 2001 From: May Lee Date: Tue, 9 Apr 2024 13:07:07 -0400 Subject: [PATCH 71/88] Update content/en/observability_pipelines/_index.md Co-authored-by: Jen Gilbert --- content/en/observability_pipelines/_index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/observability_pipelines/_index.md b/content/en/observability_pipelines/_index.md index 04ba839429b5f..aedd277490a0a 100644 --- a/content/en/observability_pipelines/_index.md +++ b/content/en/observability_pipelines/_index.md @@ -20,7 +20,7 @@ Observability Pipelines allows you to collect, process, and route logs in your o - Dual ship logs: Send copies of your logs to multiple destinations. - Split logs: Send your logs to different destinations based on your use case. For example, you can send DevOps logs to Datadog and security logs to a security vendor. - Archive logs: Send logs to a log vendor and to an archive in Datadog rehydratable format. -- Sensitive data redaction: Redact sensitive data in your logs before they are routed outside of your infrastructure. +- Sensitive data redaction: Remove sensitive data from your logs before they are routed outside of your infrastructure. The Observability Pipelines Worker is the software that runs in your infrastructure. It aggregates and centrally processes and routes your logs based on the selected use case. From f7defe558478d8e53dd9fc22ef073fb57c70d5e7 Mon Sep 17 00:00:00 2001 From: May Lee Date: Tue, 9 Apr 2024 13:15:34 -0400 Subject: [PATCH 72/88] [DOCS-7432] Configure existing pipelines for OP (#22205) * add doc * small edits * add source env vars shortcode and update doc * update overview * update shortcode content * update shortcodes * small edit * fix link * Apply suggestions from code review Co-authored-by: Jen Gilbert * Update layouts/shortcodes/observability_pipelines/configure_existing_pipelines/destination_env_vars/sumo_logic.md Co-authored-by: Jen Gilbert * fix amazon eks shortcode * uppercase placeholders * small edits and fixes --------- Co-authored-by: Jen Gilbert --- .../configure_existing_pipelines.md | 109 ++++++++++++++++++ .../destination_env_vars/datadog.md | 1 + .../destination_env_vars/datadog_archives.md | 7 ++ .../destination_env_vars/splunk_hec.md | 7 ++ .../destination_env_vars/sumo_logic.md | 5 + .../install_worker/amazon_eks.md | 25 ++++ .../install_worker/azure_aks.md | 29 +++++ .../install_worker/cloudformation.md | 10 ++ .../install_worker/docker.md | 17 +++ .../install_worker/google_gke.md | 29 +++++ .../install_worker/linux_apt.md | 29 +++++ .../install_worker/linux_rpm.md | 28 +++++ .../source_env_vars/datadog_agent.md | 5 + .../source_env_vars/splunk_hec.md | 4 + .../source_env_vars/splunk_tcp.md | 3 + .../source_env_vars/sumo_logic.md | 4 + 16 files changed, 312 insertions(+) create mode 100644 content/en/observability_pipelines/configure_existing_pipelines.md create mode 100644 layouts/shortcodes/observability_pipelines/configure_existing_pipelines/destination_env_vars/datadog.md create mode 100644 layouts/shortcodes/observability_pipelines/configure_existing_pipelines/destination_env_vars/datadog_archives.md create mode 100644 layouts/shortcodes/observability_pipelines/configure_existing_pipelines/destination_env_vars/splunk_hec.md create mode 100644 layouts/shortcodes/observability_pipelines/configure_existing_pipelines/destination_env_vars/sumo_logic.md create mode 100644 layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/amazon_eks.md create mode 100644 layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/azure_aks.md create mode 100644 layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/cloudformation.md create mode 100644 layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/docker.md create mode 100644 layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/google_gke.md create mode 100644 layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/linux_apt.md create mode 100644 layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/linux_rpm.md create mode 100644 layouts/shortcodes/observability_pipelines/configure_existing_pipelines/source_env_vars/datadog_agent.md create mode 100644 layouts/shortcodes/observability_pipelines/configure_existing_pipelines/source_env_vars/splunk_hec.md create mode 100644 layouts/shortcodes/observability_pipelines/configure_existing_pipelines/source_env_vars/splunk_tcp.md create mode 100644 layouts/shortcodes/observability_pipelines/configure_existing_pipelines/source_env_vars/sumo_logic.md diff --git a/content/en/observability_pipelines/configure_existing_pipelines.md b/content/en/observability_pipelines/configure_existing_pipelines.md new file mode 100644 index 0000000000000..5fdb47827d4d5 --- /dev/null +++ b/content/en/observability_pipelines/configure_existing_pipelines.md @@ -0,0 +1,109 @@ +--- +title: Configure Existing Pipelines +kind: documentation +disable_toc: false +--- + +## Overview + +For existing pipelines in Observability Pipelines, you can update and deploy changes for source settings, destination settings, and processors in the Observability Pipelines UI. But if you want to update source and destination environment variables, you need to manually update the Worker with the new values. + +## Update an existing pipeline + +1. Navigate to [Observability Pipelines][1]. +1. Select the pipeline you want to update. +1. Click **Edit Pipeline** in the top right corner. +1. Make changes to the pipeline. + - If you are updating the source or destination settings shown in the tiles, or updating and adding processors, make the changes and then click **Deploy Changes**. + - To update source or destination environment variables, click **Go to Worker Installation Steps** and see [Update source or destination variables](#update-source-or-destination-variables) for instructions. + +### Update source or destination variables + +On the the Worker installation page: +1. Select your platform in the **Choose your installation platform** dropdown menu. +1. If you want to update source environment variables, update the information based on your selected logs source. +{{< tabs >}} +{{% tab "Datadog Agent" %}} + +{{% observability_pipelines/configure_existing_pipelines/source_env_vars/datadog_agent %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/configure_existing_pipelines/source_env_vars/splunk_hec %}} + +{{% /tab %}} +{{% tab "Splunk TCP" %}} + +{{% observability_pipelines/configure_existing_pipelines/source_env_vars/splunk_tcp %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/configure_existing_pipelines/source_env_vars/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} +1. If you want to update destination environment variables, update the information based on your selected logs destinations. +{{< tabs >}} +{{% tab "Datadog Archives" %}} + +{{% observability_pipelines/configure_existing_pipelines/destination_env_vars/datadog_archives %}} + +{{% /tab %}} +{{% tab "Datadog" %}} + +{{% observability_pipelines/configure_existing_pipelines/destination_env_vars/datadog %}} + +{{% /tab %}} +{{% tab "Splunk HEC" %}} + +{{% observability_pipelines/configure_existing_pipelines/destination_env_vars/splunk_hec %}} + +{{% /tab %}} +{{% tab "Sumo Logic" %}} + +{{% observability_pipelines/configure_existing_pipelines/destination_env_vars/sumo_logic %}} + +{{% /tab %}} +{{< /tabs >}} +1. Follow the instructions for your environment to update the worker: +{{< tabs >}} +{{% tab "Docker" %}} + +{{% observability_pipelines/configure_existing_pipelines/install_worker/docker %}} + +{{% /tab %}} +{{% tab "Amazon EKS" %}} + +{{% observability_pipelines/configure_existing_pipelines/install_worker/amazon_eks %}} + +{{% /tab %}} +{{% tab "Azure AKS" %}} + +{{% observability_pipelines/configure_existing_pipelines/install_worker/azure_aks %}} + +{{% /tab %}} +{{% tab "Google GKE" %}} + +{{% observability_pipelines/configure_existing_pipelines/install_worker/google_gke %}} + +{{% /tab %}} +{{% tab "Linux (APT)" %}} + +{{% observability_pipelines/configure_existing_pipelines/install_worker/linux_apt %}} + +{{% /tab %}} +{{% tab "Linux (RPM)" %}} + +{{% observability_pipelines/configure_existing_pipelines/install_worker/linux_rpm %}} + +{{% /tab %}} +{{% tab "CloudFormation" %}} + +{{% observability_pipelines/configure_existing_pipelines/install_worker/cloudformation %}} + +{{% /tab %}} +{{< /tabs >}} + +[1]: https://app.datadoghq.com/observability-pipelines \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/destination_env_vars/datadog.md b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/destination_env_vars/datadog.md new file mode 100644 index 0000000000000..92d0c527eab44 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/destination_env_vars/datadog.md @@ -0,0 +1 @@ +No environment variables required. \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/destination_env_vars/datadog_archives.md b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/destination_env_vars/datadog_archives.md new file mode 100644 index 0000000000000..993d4ba0772db --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/destination_env_vars/datadog_archives.md @@ -0,0 +1,7 @@ +- AWS access key ID of your S3 archive + - The AWS access key ID for the S3 archive bucket. + - Stored in the environment variable: `DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_ACCESS_KEY_ID` + +- AWS secret access key ID of your S3 archive + - The AWS secret access key ID for the S3 archive bucket. + - Stored in the environment variable `DD_OP_DESTINATION_DATADOG_ARCHIVES_AWS_SECRET_KEY`. \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/destination_env_vars/splunk_hec.md b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/destination_env_vars/splunk_hec.md new file mode 100644 index 0000000000000..ad4a6ed2675ba --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/destination_env_vars/splunk_hec.md @@ -0,0 +1,7 @@ +- Splunk HEC token + - The Splunk HEC token for the Splunk indexer. + - Stored in the environment variable `DD_OP_DESTINATION_SPLUNK_HEC_TOKEN`. +- Base URL of the Splunk instance + - The Splunk HTTP Event Collector endpoint your Observability Pipelines Worker sends processed logs to. For example, `https://hec.splunkcloud.com:8088`. + **Note**: `/services/collector/event` path is automatically appended to the endpoint. + - Stored in the environment variable `DD_OP_DESTINATION_SPLUNK_HEC_ENDPOINT_URL`. \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/destination_env_vars/sumo_logic.md b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/destination_env_vars/sumo_logic.md new file mode 100644 index 0000000000000..99a0c7851fc48 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/destination_env_vars/sumo_logic.md @@ -0,0 +1,5 @@ +- Unique URL generated for the HTTP Logs and Metrics Source to receive log data + - The Sumo Logic HTTP Source endpoint. The Observability Pipelines Worker sends processed logs to this endpoint. For example, `https://.collection.sumologic.com/receiver/v1/http/`, where: + - `` is your Sumo collection endpoint. + - `` is the string that follows the last forward slash (`/`) in the upload URL for the HTTP source. + - Stored in the environment variable `DD_OP_DESTINATION_SUMO_LOGIC_HTTP_COLLECTOR_URL`. diff --git a/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/amazon_eks.md b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/amazon_eks.md new file mode 100644 index 0000000000000..0d45a6945cd4b --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/amazon_eks.md @@ -0,0 +1,25 @@ +1. Download the [Helm chart values file][4001] for AWS EKS. +1. Click **Select API key** to choose the Datadog API key you want to use. +1. Update the Datadog Helm chart to the latest version: + ```shell + helm repo update + ``` +1. Run the command provided in the UI to install the Worker. The command is automatically populated with the environment variables you entered earlier. + ```shell + helm upgrade --install opw \ + -f aws_eks.yaml \ + --set datadog.apiKey= \ + --set datadog.pipelineId= \ + --set \ + --set \ + --set service.ports[0].protocol=TCP,service.ports[0].port=,service.ports[0].targetPort= \ + datadog/observability-pipelines-worker + ``` + **Note**: By default, the Kubernetes Service maps incoming port `` to the port the Worker is listening on `()`. If you want to map the Worker's pod port to a different incoming port of the Kubernetes Service, use the following `service.ports[0].port` and `service.ports[0].targetPort` values: + ``` + --set service.ports[0].protocol=TCP,service.ports[0].port=8088,service.ports[0].targetPort=8282 + ``` +1. Click **Navigate Back** to go back to the Observability Pipelines edit pipeline page. +1. Click **Deploy Changes**. + +[4001]: /resources/yaml/observability_pipelines/v2/setup/aws_eks.yaml \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/azure_aks.md b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/azure_aks.md new file mode 100644 index 0000000000000..9821fa7bf63db --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/azure_aks.md @@ -0,0 +1,29 @@ +1. Download the [Helm chart values file][5001] for Azure AKS. +1. Click **Select API key** to choose the Datadog API key you want to use. +1. Add the Datadog chart repository to Helm: + ```shell + helm repo add datadog https://helm.datadoghq.com + ``` + If you already have Datadog chart repository, run the following command to make sure it is up to date: + ```shell + helm repo update + ``` +1. Run the command provided in the UI to install the Worker. The command is automatically populated with the environment variables you entered earlier. + ```shell + helm upgrade --install opw \ + -f azure_aks.yaml \ + --set datadog.apiKey= \ + --set datadog.pipelineId= \ + --set \ + --set \ + --set service.ports[0].protocol=TCP,service.ports[0].port=,service.ports[0].targetPort= \ + datadog/observability-pipelines-worker + ``` + **Note**: By default, the Kubernetes Service maps incoming port `` to the port the Worker is listening on (``). If you want to map the Worker's pod port to a different incoming port of the Kubernetes Service, use the following `service.ports[0].port` and `service.ports[0].targetPort` values: + ``` + --set service.ports[0].protocol=TCP,service.ports[0].port=8088,service.ports[0].targetPort=8282 + ``` +1. Click **Navigate Back** to go back to the Observability Pipelines edit pipeline page. +1. Click **Deploy Changes**. + +[5001]: /resources/yaml/observability_pipelines/v2/setup/azure_aks.yaml \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/cloudformation.md b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/cloudformation.md new file mode 100644 index 0000000000000..d83c4893d1aef --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/cloudformation.md @@ -0,0 +1,10 @@ + +1. Select the expected log volume for the pipeline from the dropdown. +1. Select the AWS region you want to use to install the Worker. +1. Click **Select API key** to choose the Datadog API key you want to use. +1. Click **Launch CloudFormation Template** to navigate to the AWS Console to review the stack configuration and then launch it. Make sure the CloudFormation parameters are set as expected. +1. Select the VPC and subnet that you want to use to install the Worker. +1. Review and check the necessary permissions checkboxes for IAM. Click **Submit** to create the stack. CloudFormation handles the installation at this point; the Worker instances are launched, the necessary software is downloaded, and the Worker starts automatically. +1. Delete the previous CloudFormation stack and resources associated with it. +1. Click **Navigate Back** to go back to the Observability Pipelines edit pipeline page. +1. Click **Deploy Changes**. \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/docker.md b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/docker.md new file mode 100644 index 0000000000000..a625871c7515b --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/docker.md @@ -0,0 +1,17 @@ +1. Click **Select API key** to choose the Datadog API key you want to use. +1. Run the command provided in the UI to install the Worker. The command is automatically populated with the environment variables you entered earlier. + ```shell + docker run -i -e DD_API_KEY= \ + -e DD_OP_PIPELINE_ID= \ + -e DD_SITE= \ + -e \ + -e \ + -p 8088:8088 \ + datadog/observability-pipelines-worker run + ``` + **Note**: By default, the `docker run` command exposes the same port the Worker is listening on. If you want to map the Worker's container port to a different port on the Docker host, use the `-p | --publish` option: + ``` + -p 8282:8088 datadog/observability-pipelines-worker run + ``` +1. Click **Navigate Back** to go back to the Observability Pipelines edit pipeline page. +1. Click **Deploy Changes**. \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/google_gke.md b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/google_gke.md new file mode 100644 index 0000000000000..aeb16bfa45474 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/google_gke.md @@ -0,0 +1,29 @@ +1. Download the [Helm chart values file][6001] for Google GKE. +1. Click **Select API key** to choose the Datadog API key you want to use. +1. Add the Datadog chart repository to Helm: + ```shell + helm repo add datadog https://helm.datadoghq.com + ``` + If you already have the Datadog chart repository, run the following command to make sure it is up to date: + ```shell + helm repo update + ``` +1. Run the command provided in the UI to install the Worker. The command is automatically populated with the environment variables you entered earlier. + ```shell + helm upgrade --install opw \ + -f google_gke.yaml \ + --set datadog.apiKey= \ + --set datadog.pipelineId= \ + --set \ + --set \ + --set service.ports[0].protocol=TCP,service.ports[0].port=,service.ports[0].targetPort= \ + datadog/observability-pipelines-worker + ``` + **Note**: By default, the Kubernetes Service maps incoming port `` to the port the Worker is listening on (``). If you want to map the Worker's pod port to a different incoming port of the Kubernetes Service, use the following `service.ports[0].port` and `service.ports[0].targetPort` values: + ``` + --set service.ports[0].protocol=TCP,service.ports[0].port=8088,service.ports[0].targetPort=8282 + ``` +1. Click **Navigate Back** to go back to the Observability Pipelines edit pipeline page. +1. Click **Deploy Changes**. + +[6001]: /resources/yaml/observability_pipelines/v2/setup/google_gke.yaml diff --git a/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/linux_apt.md b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/linux_apt.md new file mode 100644 index 0000000000000..6cba8c7ccc96b --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/linux_apt.md @@ -0,0 +1,29 @@ + +1. Click **Select API key** to choose the Datadog API key you want to use. +1. Run the one-step command provided in the UI to re-install the Worker: + ```shell + DD_API_KEY= DD_OP_PIPELINE_ID= DD_SITE= bash -c "$(curl -L https://s3.amazonaws.com/dd-agent/scripts/install_script_op_worker2.sh)" + ``` + +If you prefer not to use the one-line installation script, follow these step-by-step instructions: +1. Run the following commands to update your local `apt` repo and install the latest Worker version: + ```shell + sudo apt-get update + sudo apt-get install observability-pipelines-worker datadog-signing-keys + ``` +1. Add your keys, site (for example `datadoghq.com` for US1), source, and destination environment variables to the Worker's environment file: + ```shell + sudo cat < /etc/default/observability-pipelines-worker + DD_API_KEY= + DD_OP_PIPELINE_ID= + DD_SITE= + + + EOF + ``` +1. Restart the worker: + ```shell + sudo systemctl restart observability-pipelines-worker + ``` +1. Click **Navigate Back** to go back to the Observability Pipelines edit pipeline page. +1. Click **Deploy Changes**. \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/linux_rpm.md b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/linux_rpm.md new file mode 100644 index 0000000000000..f60ef0cf7d109 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/linux_rpm.md @@ -0,0 +1,28 @@ +1. Click **Select API key** to choose the Datadog API key you want to use. +1. Run the one-step command provided in the UI to re-install the Worker: + ```shell + DD_API_KEY= DD_OP_PIPELINE_ID= DD_SITE= bash -c "$(curl -L https://s3.amazonaws.com/dd-agent/scripts/install_script_op_worker2.sh)" + ``` + +If you prefer not to use the one-line installation script, follow these step-by-step instructions: +1. Update your packages and install the latest version of Worker: + ```shell + sudo yum makecache + sudo yum install observability-pipelines-worker + ``` +1. Add your keys, site (for example `datadoghq.com` for US1), source, and destination updated environment variables to the Worker's environment file: + ```shell + sudo cat <<-EOF > /etc/default/observability-pipelines-worker + DD_API_KEY= + DD_OP_PIPELINE_ID= + DD_SITE= + + + EOF + ``` +1. Restart the worker: + ```shell + sudo systemctl restart observability-pipelines-worker + ``` +1. Click **Navigate Back** to go back to the Observability Pipelines edit pipeline page. +1. Click **Deploy Changes**. \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/source_env_vars/datadog_agent.md b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/source_env_vars/datadog_agent.md new file mode 100644 index 0000000000000..1446a6dd3e187 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/source_env_vars/datadog_agent.md @@ -0,0 +1,5 @@ +- Datadog Agent address + - The Observability Pipelines Worker listens to this socket address to receive logs from the Datadog Agent. + - Stored in the environment variable`DD_OP_SOURCE_DATADOG_AGENT_ADDRESS`. + + diff --git a/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/source_env_vars/splunk_hec.md b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/source_env_vars/splunk_hec.md new file mode 100644 index 0000000000000..c1163d65450a2 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/source_env_vars/splunk_hec.md @@ -0,0 +1,4 @@ +- Splunk HEC address: + - The bind address that your Observability Pipelines Worker listens on to receive logs originally intended for the Splunk indexer. For example, `0.0.0.0:8088` + **Note**: `/services/collector/event` is automatically appended to the endpoint. + - Stored in the environment variable `DD_OP_SOURCE_SPLUNK_HEC_ADDRESS`. \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/source_env_vars/splunk_tcp.md b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/source_env_vars/splunk_tcp.md new file mode 100644 index 0000000000000..0addac832e3ad --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/source_env_vars/splunk_tcp.md @@ -0,0 +1,3 @@ +- Splunk TCP address + - The Observability Pipelines Worker listens to this socket address to receive logs from the Splunk Forwarder. For example, `0.0.0.0:9997`. + - Stored in the environment variable `DD_OP_SOURCE_SPLUNK_TCP_ADDRESS`. \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/source_env_vars/sumo_logic.md b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/source_env_vars/sumo_logic.md new file mode 100644 index 0000000000000..2830ca8a79556 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/source_env_vars/sumo_logic.md @@ -0,0 +1,4 @@ +- Sumo Logic address + - The bind address that your Observability Pipelines Worker listens on to receive logs originally intended for the Sumo Logic HTTP Source. For example, `0.0.0.0:80`. + **Note**: `/receiver/v1/http/` path is automatically appended to the endpoint. + - Stored in the environment variable `DD_OP_SOURCE_SUMO_LOGIC_ADDRESS`. \ No newline at end of file From dc41b06c8503619b28ffd66bf11b54a3a67cdbbb Mon Sep 17 00:00:00 2001 From: May Lee Date: Wed, 10 Apr 2024 09:49:30 -0400 Subject: [PATCH 73/88] remove sources list and add further reading to landing --- content/en/observability_pipelines/_index.md | 24 ++++++++++++++------ 1 file changed, 17 insertions(+), 7 deletions(-) diff --git a/content/en/observability_pipelines/_index.md b/content/en/observability_pipelines/_index.md index aedd277490a0a..3e2657b717f25 100644 --- a/content/en/observability_pipelines/_index.md +++ b/content/en/observability_pipelines/_index.md @@ -2,6 +2,19 @@ title: Observability Pipelines kind: documentation disable_toc: false +further_reading: +- link: "/logs/log_collection/" + tag: "documentation" + text: "Log collection and integrations" +- link: "data_security/logs/" + tag: "documentation" + text: "Log Management data security" +- link: "/sensitive_data_scanner/" + tag: "documentation" + text: "Sensitive Data Scanner" +- link: "/agent/configuration/dual-shipping/#yaml-configuration" + tag: "documentation" + text: "Dual shipping with Observability Pipelines" --- {{< site-region region="gov" >}} @@ -26,13 +39,6 @@ The Observability Pipelines Worker is the software that runs in your infrastruct The Datadog UI provides a control plane to manage your Observability Pipelines Workers. You can build and edit pipelines, deploy pipeline changes to your Workers, and monitor your pipelines to evaluate the health of your pipelines. -The following sources are available: - -- Datadog Agent -- Splunk HTTP Event Collector (HEC) -- Splunk Heavy and Universal Forwarders (TCP) -- Sumo Logic Hosted Collector - ## Get started 1. Navigate to [Observability Pipelines][1]. @@ -44,6 +50,10 @@ The following sources are available: - [Sensitive data redaction][6] 1. Enable monitors. +## Further Reading + +{{< partial name="whats-next/whats-next.html" >}} + [1]: https://app.datadoghq.com/observability-pipelines [2]: /observability_pipelines/log_volume_control/ [3]: /observability_pipelines/dual_ship_logs/ From f188eaeae704e3e8762d64fa88e4722a0b147a9e Mon Sep 17 00:00:00 2001 From: May Lee Date: Wed, 10 Apr 2024 10:58:57 -0400 Subject: [PATCH 74/88] add split logs images --- .../split_logs/_index.md | 2 ++ .../split_logs/datadog_agent.md | 2 ++ .../split_logs/splunk_hec.md | 2 ++ .../split_logs/splunk_tcp.md | 2 ++ .../split_logs/sumo_logic_hosted_collector.md | 2 ++ .../use_case_images/archive_logs.md | 1 + .../use_case_images/dual_ship_logs.md | 1 + .../use_case_images/log_volume_control.md | 1 + .../use_case_images/sensitive_data_scanner.md | 1 + .../use_case_images/split_logs.md | 1 + .../use_cases/archive_logs.png | Bin 0 -> 320561 bytes .../use_cases/dual_ship.png | Bin 0 -> 197194 bytes .../use_cases/log_volume_control.png | Bin 0 -> 122163 bytes .../observability_pipelines/use_cases/sds.png | Bin 0 -> 171882 bytes .../use_cases/split_logs.png | Bin 0 -> 275043 bytes 15 files changed, 15 insertions(+) create mode 100644 layouts/shortcodes/observability_pipelines/use_case_images/archive_logs.md create mode 100644 layouts/shortcodes/observability_pipelines/use_case_images/dual_ship_logs.md create mode 100644 layouts/shortcodes/observability_pipelines/use_case_images/log_volume_control.md create mode 100644 layouts/shortcodes/observability_pipelines/use_case_images/sensitive_data_scanner.md create mode 100644 layouts/shortcodes/observability_pipelines/use_case_images/split_logs.md create mode 100644 static/images/observability_pipelines/use_cases/archive_logs.png create mode 100644 static/images/observability_pipelines/use_cases/dual_ship.png create mode 100644 static/images/observability_pipelines/use_cases/log_volume_control.png create mode 100644 static/images/observability_pipelines/use_cases/sds.png create mode 100644 static/images/observability_pipelines/use_cases/split_logs.png diff --git a/content/en/observability_pipelines/split_logs/_index.md b/content/en/observability_pipelines/split_logs/_index.md index 773bcde3f71c0..9712b30b5a4e5 100644 --- a/content/en/observability_pipelines/split_logs/_index.md +++ b/content/en/observability_pipelines/split_logs/_index.md @@ -8,6 +8,8 @@ disable_toc: false Often, organizations need to send their logs to multiple products for different use cases. For example, you might send your security logs to your SIEM application and your DevOps logs to Datadog. Use Observability Pipelines to send your logs to different destinations based on your use case. +{{% observability_pipelines/use_case_images/split_logs %}} + Select your log source to get started: - [Datadog Agent][1] diff --git a/content/en/observability_pipelines/split_logs/datadog_agent.md b/content/en/observability_pipelines/split_logs/datadog_agent.md index b4a54be694dd8..0ba593924c7e7 100644 --- a/content/en/observability_pipelines/split_logs/datadog_agent.md +++ b/content/en/observability_pipelines/split_logs/datadog_agent.md @@ -8,6 +8,8 @@ disable_toc: false Configure your Datadog Agent to send logs to the Observability Pipelines Worker and then process and route them to different destinations based on your use case. +{{% observability_pipelines/use_case_images/split_logs %}} + This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) diff --git a/content/en/observability_pipelines/split_logs/splunk_hec.md b/content/en/observability_pipelines/split_logs/splunk_hec.md index 051b129250fba..1285d1f5dcf16 100644 --- a/content/en/observability_pipelines/split_logs/splunk_hec.md +++ b/content/en/observability_pipelines/split_logs/splunk_hec.md @@ -8,6 +8,8 @@ disable_toc: false Configure your Splunk HTTP Event Collectors (HEC) to send logs to the Observability Pipelines Worker and then to different destinations based on your use case. +{{% observability_pipelines/use_case_images/split_logs %}} + This document walks you through the following setup steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) diff --git a/content/en/observability_pipelines/split_logs/splunk_tcp.md b/content/en/observability_pipelines/split_logs/splunk_tcp.md index fd029d0b4ef52..f23d964f40a01 100644 --- a/content/en/observability_pipelines/split_logs/splunk_tcp.md +++ b/content/en/observability_pipelines/split_logs/splunk_tcp.md @@ -8,6 +8,8 @@ disable_toc: false Configure your Splunk Heavy and Universal Forwarders to send logs to the Observability Pipelines Worker and then process and route them to different destinations based on your use case. +{{% observability_pipelines/use_case_images/split_logs %}} + This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) diff --git a/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md index 7b7e888380bfa..9b59e4bda2078 100644 --- a/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md @@ -8,6 +8,8 @@ disable_toc: false Configure you Sumo Logic Hosted Collector HTTP Logs source to send logs to the Observability Pipelines Worker and then to different destinations based on your use case. +{{% observability_pipelines/use_case_images/split_logs %}} + This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) diff --git a/layouts/shortcodes/observability_pipelines/use_case_images/archive_logs.md b/layouts/shortcodes/observability_pipelines/use_case_images/archive_logs.md new file mode 100644 index 0000000000000..fb918f13ee129 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/use_case_images/archive_logs.md @@ -0,0 +1 @@ +Alt text \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/use_case_images/dual_ship_logs.md b/layouts/shortcodes/observability_pipelines/use_case_images/dual_ship_logs.md new file mode 100644 index 0000000000000..cb173636303c5 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/use_case_images/dual_ship_logs.md @@ -0,0 +1 @@ +Alt text \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/use_case_images/log_volume_control.md b/layouts/shortcodes/observability_pipelines/use_case_images/log_volume_control.md new file mode 100644 index 0000000000000..047f5bc5ff0b5 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/use_case_images/log_volume_control.md @@ -0,0 +1 @@ +Alt text \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/use_case_images/sensitive_data_scanner.md b/layouts/shortcodes/observability_pipelines/use_case_images/sensitive_data_scanner.md new file mode 100644 index 0000000000000..07eb3bf98a104 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/use_case_images/sensitive_data_scanner.md @@ -0,0 +1 @@ +Alt text \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/use_case_images/split_logs.md b/layouts/shortcodes/observability_pipelines/use_case_images/split_logs.md new file mode 100644 index 0000000000000..23150933e1b6c --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/use_case_images/split_logs.md @@ -0,0 +1 @@ +Alt text \ No newline at end of file diff --git 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static/images/observability_pipelines/processors/general_processors.png diff --git a/content/en/observability_pipelines/split_logs/datadog_agent.md b/content/en/observability_pipelines/split_logs/datadog_agent.md index 0ba593924c7e7..ac276b06fa940 100644 --- a/content/en/observability_pipelines/split_logs/datadog_agent.md +++ b/content/en/observability_pipelines/split_logs/datadog_agent.md @@ -68,6 +68,8 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/intro %}} +{{% observability_pipelines/processor_images/general_processors %}} + {{% observability_pipelines/processors/filter_syntax %}} {{% observability_pipelines/processors/add_processors %}} diff --git a/layouts/shortcodes/observability_pipelines/processor_images/general_processors.md b/layouts/shortcodes/observability_pipelines/processor_images/general_processors.md new file mode 100644 index 0000000000000..4c652c76e5328 --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/processor_images/general_processors.md @@ -0,0 +1 @@ +The log sources, processors, and destinations available for the archive logs to Datadog Archives use case \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/processor_images/sensitive_data_scanner.md b/layouts/shortcodes/observability_pipelines/processor_images/sensitive_data_scanner.md new file mode 100644 index 0000000000000..e69de29bb2d1d diff --git a/layouts/shortcodes/observability_pipelines/use_case_images/archive_logs.md b/layouts/shortcodes/observability_pipelines/use_case_images/archive_logs.md index fb918f13ee129..5368107701c25 100644 --- a/layouts/shortcodes/observability_pipelines/use_case_images/archive_logs.md +++ b/layouts/shortcodes/observability_pipelines/use_case_images/archive_logs.md @@ -1 +1 @@ -Alt text \ No newline at end of file +The log sources, processors, and destinations available for the archive logs to Datadog Archives use case \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/use_case_images/dual_ship_logs.md b/layouts/shortcodes/observability_pipelines/use_case_images/dual_ship_logs.md index cb173636303c5..cdbd39f8a7254 100644 --- a/layouts/shortcodes/observability_pipelines/use_case_images/dual_ship_logs.md +++ b/layouts/shortcodes/observability_pipelines/use_case_images/dual_ship_logs.md @@ -1 +1 @@ -Alt text \ No newline at end of file +The log sources, processors, and destinations available for the dual ship logs use case \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/use_case_images/log_volume_control.md b/layouts/shortcodes/observability_pipelines/use_case_images/log_volume_control.md index 047f5bc5ff0b5..fd9b5dbbcdad7 100644 --- a/layouts/shortcodes/observability_pipelines/use_case_images/log_volume_control.md +++ b/layouts/shortcodes/observability_pipelines/use_case_images/log_volume_control.md @@ -1 +1 @@ -Alt text \ No newline at end of file +The log sources, processors, and destinations available for the log volume control use case \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/use_case_images/sensitive_data_scanner.md b/layouts/shortcodes/observability_pipelines/use_case_images/sensitive_data_scanner.md index 07eb3bf98a104..05663c9cc9293 100644 --- a/layouts/shortcodes/observability_pipelines/use_case_images/sensitive_data_scanner.md +++ b/layouts/shortcodes/observability_pipelines/use_case_images/sensitive_data_scanner.md @@ -1 +1 @@ -Alt text \ No newline at end of file +The log sources, processors, and destinations available for the sensitive data scanner use case \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/use_case_images/split_logs.md b/layouts/shortcodes/observability_pipelines/use_case_images/split_logs.md index 23150933e1b6c..36b3385683738 100644 --- 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.../observability_pipelines/use_case_images/split_logs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/layouts/shortcodes/observability_pipelines/use_case_images/split_logs.md b/layouts/shortcodes/observability_pipelines/use_case_images/split_logs.md index 36b3385683738..eb3e6ed8b74f6 100644 --- a/layouts/shortcodes/observability_pipelines/use_case_images/split_logs.md +++ b/layouts/shortcodes/observability_pipelines/use_case_images/split_logs.md @@ -1 +1 @@ -The log sources, processors, and destinations available for the split logs use case \ No newline at end of file +The log sources, processors, and destinations available for the split logs use case \ No newline at end of file From f3a0d08900156fa9edcc67afb6ed6dbc93b6eb27 Mon Sep 17 00:00:00 2001 From: May Lee Date: Wed, 10 Apr 2024 12:16:35 -0400 Subject: [PATCH 77/88] try again to fix --- .../observability_pipelines/use_case_images/split_logs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/layouts/shortcodes/observability_pipelines/use_case_images/split_logs.md b/layouts/shortcodes/observability_pipelines/use_case_images/split_logs.md index eb3e6ed8b74f6..90a106b7775b3 100644 --- a/layouts/shortcodes/observability_pipelines/use_case_images/split_logs.md +++ b/layouts/shortcodes/observability_pipelines/use_case_images/split_logs.md @@ -1 +1 @@ -The log sources, processors, and destinations available for the split logs use case \ No newline at end of file +The log sources, processors, and destinations available for the split logs use case \ No newline at end of file From 7441a6137bc9aedb7cf32cd0744b67ee98cd6b00 Mon Sep 17 00:00:00 2001 From: May Lee Date: Wed, 10 Apr 2024 12:36:07 -0400 Subject: [PATCH 78/88] desperately try to fix images --- .../use_case_images/split_logs.md | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/layouts/shortcodes/observability_pipelines/use_case_images/split_logs.md b/layouts/shortcodes/observability_pipelines/use_case_images/split_logs.md index 90a106b7775b3..91bf0851715af 100644 --- a/layouts/shortcodes/observability_pipelines/use_case_images/split_logs.md +++ b/layouts/shortcodes/observability_pipelines/use_case_images/split_logs.md @@ -1 +1,9 @@ -The log sources, processors, and destinations available for the split logs use case \ No newline at end of file +The log sources, processors, and destinations available for the split logs use case + +The log sources, processors, and destinations available for the split logs use case +The log sources, processors, and destinations available for the split logs use case + +![Alt text](observability_pipelines/use_cases/split_logs.png) +![Alt text](/observability_pipelines/use_cases/split_logs.png) + +![Alt text](/images/observability_pipelines/use_cases/split_logs.png) \ No newline at end of file From 2c26ff834230c37be0013ccbcdc1d98267ad8e3c Mon Sep 17 00:00:00 2001 From: May Lee Date: Wed, 10 Apr 2024 13:26:49 -0400 Subject: [PATCH 79/88] add images to md --- content/en/observability_pipelines/split_logs/_index.md | 2 +- .../observability_pipelines/split_logs/datadog_agent.md | 4 ++-- .../en/observability_pipelines/split_logs/splunk_hec.md | 2 +- .../en/observability_pipelines/split_logs/splunk_tcp.md | 2 +- .../split_logs/sumo_logic_hosted_collector.md | 2 +- .../processor_images/general_processors.md | 1 - .../processor_images/sensitive_data_scanner.md | 0 .../use_case_images/archive_logs.md | 1 - .../use_case_images/dual_ship_logs.md | 1 - .../use_case_images/log_volume_control.md | 1 - .../use_case_images/sensitive_data_scanner.md | 1 - .../use_case_images/split_logs.md | 9 --------- 12 files changed, 6 insertions(+), 20 deletions(-) delete mode 100644 layouts/shortcodes/observability_pipelines/processor_images/general_processors.md delete mode 100644 layouts/shortcodes/observability_pipelines/processor_images/sensitive_data_scanner.md delete mode 100644 layouts/shortcodes/observability_pipelines/use_case_images/archive_logs.md delete mode 100644 layouts/shortcodes/observability_pipelines/use_case_images/dual_ship_logs.md delete mode 100644 layouts/shortcodes/observability_pipelines/use_case_images/log_volume_control.md delete mode 100644 layouts/shortcodes/observability_pipelines/use_case_images/sensitive_data_scanner.md delete mode 100644 layouts/shortcodes/observability_pipelines/use_case_images/split_logs.md diff --git a/content/en/observability_pipelines/split_logs/_index.md b/content/en/observability_pipelines/split_logs/_index.md index 9712b30b5a4e5..9f0a77503365b 100644 --- a/content/en/observability_pipelines/split_logs/_index.md +++ b/content/en/observability_pipelines/split_logs/_index.md @@ -8,7 +8,7 @@ disable_toc: false Often, organizations need to send their logs to multiple products for different use cases. For example, you might send your security logs to your SIEM application and your DevOps logs to Datadog. Use Observability Pipelines to send your logs to different destinations based on your use case. -{{% observability_pipelines/use_case_images/split_logs %}} +{{< img src="observability_pipelines/use_cases/split_logs.png" alt="The log sources, processors, and destinations available for the split logs use case" width="100%" >}} Select your log source to get started: diff --git a/content/en/observability_pipelines/split_logs/datadog_agent.md b/content/en/observability_pipelines/split_logs/datadog_agent.md index ac276b06fa940..b799c041d94c5 100644 --- a/content/en/observability_pipelines/split_logs/datadog_agent.md +++ b/content/en/observability_pipelines/split_logs/datadog_agent.md @@ -8,7 +8,7 @@ disable_toc: false Configure your Datadog Agent to send logs to the Observability Pipelines Worker and then process and route them to different destinations based on your use case. -{{% observability_pipelines/use_case_images/split_logs %}} +{{< img src="observability_pipelines/use_cases/split_logs.png" alt="The log sources, processors, and destinations available for the split logs use case" width="100%" >}} This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines @@ -68,7 +68,7 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/intro %}} -{{% observability_pipelines/processor_images/general_processors %}} +{{< img src="observability_pipelines/processors/general_processors.png" alt="The log processors available" width="40%" style="center" >}} {{% observability_pipelines/processors/filter_syntax %}} diff --git a/content/en/observability_pipelines/split_logs/splunk_hec.md b/content/en/observability_pipelines/split_logs/splunk_hec.md index 1285d1f5dcf16..0ea9165870682 100644 --- a/content/en/observability_pipelines/split_logs/splunk_hec.md +++ b/content/en/observability_pipelines/split_logs/splunk_hec.md @@ -8,7 +8,7 @@ disable_toc: false Configure your Splunk HTTP Event Collectors (HEC) to send logs to the Observability Pipelines Worker and then to different destinations based on your use case. -{{% observability_pipelines/use_case_images/split_logs %}} +{{< img src="observability_pipelines/use_cases/split_logs.png" alt="The log sources, processors, and destinations available for the split logs use case" width="100%" >}} This document walks you through the following setup steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines diff --git a/content/en/observability_pipelines/split_logs/splunk_tcp.md b/content/en/observability_pipelines/split_logs/splunk_tcp.md index f23d964f40a01..de6d031429af3 100644 --- a/content/en/observability_pipelines/split_logs/splunk_tcp.md +++ b/content/en/observability_pipelines/split_logs/splunk_tcp.md @@ -8,7 +8,7 @@ disable_toc: false Configure your Splunk Heavy and Universal Forwarders to send logs to the Observability Pipelines Worker and then process and route them to different destinations based on your use case. -{{% observability_pipelines/use_case_images/split_logs %}} +{{< img src="observability_pipelines/use_cases/split_logs.png" alt="The log sources, processors, and destinations available for the split logs use case" width="100%" >}} This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines diff --git a/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md index 9b59e4bda2078..b13b7fc9b54ef 100644 --- a/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md @@ -8,7 +8,7 @@ disable_toc: false Configure you Sumo Logic Hosted Collector HTTP Logs source to send logs to the Observability Pipelines Worker and then to different destinations based on your use case. -{{% observability_pipelines/use_case_images/split_logs %}} +{{< img src="observability_pipelines/use_cases/split_logs.png" alt="The log sources, processors, and destinations available for the split logs use case" width="100%" >}} This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines diff --git a/layouts/shortcodes/observability_pipelines/processor_images/general_processors.md b/layouts/shortcodes/observability_pipelines/processor_images/general_processors.md deleted file mode 100644 index 4c652c76e5328..0000000000000 --- a/layouts/shortcodes/observability_pipelines/processor_images/general_processors.md +++ /dev/null @@ -1 +0,0 @@ -The log sources, processors, and destinations available for the archive logs to Datadog Archives use case \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/processor_images/sensitive_data_scanner.md b/layouts/shortcodes/observability_pipelines/processor_images/sensitive_data_scanner.md deleted file mode 100644 index e69de29bb2d1d..0000000000000 diff --git a/layouts/shortcodes/observability_pipelines/use_case_images/archive_logs.md b/layouts/shortcodes/observability_pipelines/use_case_images/archive_logs.md deleted file mode 100644 index 5368107701c25..0000000000000 --- a/layouts/shortcodes/observability_pipelines/use_case_images/archive_logs.md +++ /dev/null @@ -1 +0,0 @@ -The log sources, processors, and destinations available for the archive logs to Datadog Archives use case \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/use_case_images/dual_ship_logs.md b/layouts/shortcodes/observability_pipelines/use_case_images/dual_ship_logs.md deleted file mode 100644 index cdbd39f8a7254..0000000000000 --- a/layouts/shortcodes/observability_pipelines/use_case_images/dual_ship_logs.md +++ /dev/null @@ -1 +0,0 @@ -The log sources, processors, and destinations available for the dual ship logs use case \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/use_case_images/log_volume_control.md b/layouts/shortcodes/observability_pipelines/use_case_images/log_volume_control.md deleted file mode 100644 index fd9b5dbbcdad7..0000000000000 --- a/layouts/shortcodes/observability_pipelines/use_case_images/log_volume_control.md +++ /dev/null @@ -1 +0,0 @@ -The log sources, processors, and destinations available for the log volume control use case \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/use_case_images/sensitive_data_scanner.md b/layouts/shortcodes/observability_pipelines/use_case_images/sensitive_data_scanner.md deleted file mode 100644 index 05663c9cc9293..0000000000000 --- a/layouts/shortcodes/observability_pipelines/use_case_images/sensitive_data_scanner.md +++ /dev/null @@ -1 +0,0 @@ -The log sources, processors, and destinations available for the sensitive data scanner use case \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/use_case_images/split_logs.md b/layouts/shortcodes/observability_pipelines/use_case_images/split_logs.md deleted file mode 100644 index 91bf0851715af..0000000000000 --- a/layouts/shortcodes/observability_pipelines/use_case_images/split_logs.md +++ /dev/null @@ -1,9 +0,0 @@ -The log sources, processors, and destinations available for the split logs use case - -The log sources, processors, and destinations available for the split logs use case -The log sources, processors, and destinations available for the split logs use case - -![Alt text](observability_pipelines/use_cases/split_logs.png) -![Alt text](/observability_pipelines/use_cases/split_logs.png) - -![Alt text](/images/observability_pipelines/use_cases/split_logs.png) \ No newline at end of file From 592cb3bc69d21f0484af94ce3854260132f49ede Mon Sep 17 00:00:00 2001 From: May Lee Date: Wed, 10 Apr 2024 14:17:59 -0400 Subject: [PATCH 80/88] add images --- .../observability_pipelines/archive_logs/_index.md | 2 ++ .../archive_logs/datadog_agent.md | 4 ++++ .../archive_logs/splunk_hec.md | 4 ++++ .../archive_logs/splunk_tcp.md | 4 ++++ .../archive_logs/sumo_logic_hosted_collector.md | 4 ++++ .../dual_ship_logs/_index.md | 2 ++ .../dual_ship_logs/datadog_agent.md | 4 ++++ .../dual_ship_logs/splunk_hec.md | 4 ++++ .../dual_ship_logs/splunk_tcp.md | 4 ++++ .../dual_ship_logs/sumo_logic_hosted_collector.md | 4 ++++ .../log_volume_control/_index.md | 2 ++ .../log_volume_control/splunk_hec.md | 4 ++++ .../log_volume_control/splunk_tcp.md | 4 ++++ .../sumo_logic_hosted_collector.md | 4 ++++ .../sensitive_data_redaction/_index.md | 2 ++ .../sensitive_data_redaction/datadog_agent.md | 4 ++++ .../sensitive_data_redaction/splunk_hec.md | 4 ++++ .../sensitive_data_redaction/splunk_tcp.md | 4 ++++ .../sumo_logic_hosted_collector.md | 4 ++++ .../split_logs/datadog_agent.md | 3 +-- .../split_logs/splunk_hec.md | 2 ++ .../split_logs/splunk_tcp.md | 2 ++ .../split_logs/sumo_logic_hosted_collector.md | 2 ++ .../use_cases/{dual_ship.png => dual_ship_logs.png} | Bin .../{sds.png => sensitive_data_scanner.png} | Bin 25 files changed, 75 insertions(+), 2 deletions(-) rename static/images/observability_pipelines/use_cases/{dual_ship.png => dual_ship_logs.png} (100%) rename static/images/observability_pipelines/use_cases/{sds.png => sensitive_data_scanner.png} (100%) diff --git a/content/en/observability_pipelines/archive_logs/_index.md b/content/en/observability_pipelines/archive_logs/_index.md index 0300ed1b7ef8c..e0fe0202aa697 100644 --- a/content/en/observability_pipelines/archive_logs/_index.md +++ b/content/en/observability_pipelines/archive_logs/_index.md @@ -12,6 +12,8 @@ Use Observability Pipelines to route ingested logs to a Amazon S3 bucket in Data - You have a high volume of noisy logs, but you may need to index them in Log Management ad hoc. - You have a retention policy. +{{< img src="observability_pipelines/use_cases/archive_logs.png" alt="The log sources, processors, and destinations available for this use case" width="100%" >}} + Select a source to get started: - [Datadog Agent][1] diff --git a/content/en/observability_pipelines/archive_logs/datadog_agent.md b/content/en/observability_pipelines/archive_logs/datadog_agent.md index 793e4a75d570b..3035e82f4a7ba 100644 --- a/content/en/observability_pipelines/archive_logs/datadog_agent.md +++ b/content/en/observability_pipelines/archive_logs/datadog_agent.md @@ -8,6 +8,8 @@ disable_toc: false Configure your Datadog Agent so that the Observability Pipelines Worker formats the logs collected into a Datadog-rehydratable format before routing them to Datadog Log Archives. +{{< img src="observability_pipelines/use_cases/archive_logs.png" alt="The log sources, processors, and destinations available for this use case" width="100%" >}} + This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Configuring a Log Archive](#configure-a-log-archive) @@ -89,6 +91,8 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/filter_syntax %}} +{{< img src="observability_pipelines/processors/general_processors.png" alt="The log processors available" width="40%" >}} + {{% observability_pipelines/processors/add_processors %}} {{< tabs >}} {{% tab "Filter" %}} diff --git a/content/en/observability_pipelines/archive_logs/splunk_hec.md b/content/en/observability_pipelines/archive_logs/splunk_hec.md index 20c3afe734ca5..6efeeb8ba99b8 100644 --- a/content/en/observability_pipelines/archive_logs/splunk_hec.md +++ b/content/en/observability_pipelines/archive_logs/splunk_hec.md @@ -8,6 +8,8 @@ disable_toc: false Configure your Splunk HTTP Event Collector (HEC) so that the Observability Pipelines Worker formats the logs collected into a Datadog-rehydratable format before routing them to Datadog Log Archives. +{{< img src="observability_pipelines/use_cases/archive_logs.png" alt="The log sources, processors, and destinations available for this use case" width="100%" >}} + This document walks through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Configuring a Log Archive](#configure-a-log-archive) @@ -89,6 +91,8 @@ Enter the following information based on your selected logs destinations. {{% observability_pipelines/processors/filter_syntax %}} +{{< img src="observability_pipelines/processors/general_processors.png" alt="The log processors available" width="40%">}} + {{% observability_pipelines/processors/add_processors %}} {{< tabs >}} diff --git a/content/en/observability_pipelines/archive_logs/splunk_tcp.md b/content/en/observability_pipelines/archive_logs/splunk_tcp.md index 5424606949410..bc22edd46a512 100644 --- a/content/en/observability_pipelines/archive_logs/splunk_tcp.md +++ b/content/en/observability_pipelines/archive_logs/splunk_tcp.md @@ -8,6 +8,8 @@ disable_toc: false Configure your Splunk Heavy and Universal Forwarder so that the Observability Pipelines Worker formats the logs collected into a Datadog-rehydratable format before routing them to Datadog Log Archives. +{{< img src="observability_pipelines/use_cases/archive_logs.png" alt="The log sources, processors, and destinations available for this use case" width="100%" >}} + This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Configuring a Log Archive](#configure-a-log-archive) @@ -89,6 +91,8 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/filter_syntax %}} +{{< img src="observability_pipelines/processors/general_processors.png" alt="The log processors available" width="40%" >}} + {{% observability_pipelines/processors/add_processors %}} {{< tabs >}} diff --git a/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md index 3bf97fd96b224..e3de6434662ff 100644 --- a/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md @@ -8,6 +8,8 @@ disable_toc: false Configure your Sumo Logic Hosted Collector HTTP Logs source so that the Observability Pipelines Worker formats the logs collected into a Datadog-rehydratable format before routing them to Datadog Log Archives. +{{< img src="observability_pipelines/use_cases/archive_logs.png" alt="The log sources, processors, and destinations available for this use case" width="100%" >}} + This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Configuring a Log Archive](#configure-a-log-archive) @@ -89,6 +91,8 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/filter_syntax %}} +{{< img src="observability_pipelines/processors/general_processors.png" alt="The log processors available" width="40%" >}} + {{% observability_pipelines/processors/add_processors %}} {{< tabs >}} diff --git a/content/en/observability_pipelines/dual_ship_logs/_index.md b/content/en/observability_pipelines/dual_ship_logs/_index.md index 4394255708f7f..7a1c31ebfb410 100644 --- a/content/en/observability_pipelines/dual_ship_logs/_index.md +++ b/content/en/observability_pipelines/dual_ship_logs/_index.md @@ -8,6 +8,8 @@ disable_toc: false As your infrastructure and your organization scales, so does your log volume, the complexity of your data, and your observability architecture. To optimize how you manage your logs, you might need to experiment with different log management tools and routing workflows. Use Observability Pipelines to send your logs to different destinations, so you can evaluate different tools and workflows with minimal disruption to your production environment. +{{< img src="observability_pipelines/use_cases/dual_ship_logs.png" alt="The log sources, processors, and destinations available for this use case" width="100%" >}} + Select a source to get started: - [Datadog Agent][1] diff --git a/content/en/observability_pipelines/dual_ship_logs/datadog_agent.md b/content/en/observability_pipelines/dual_ship_logs/datadog_agent.md index fa130930bb6b7..ad21aecbe3950 100644 --- a/content/en/observability_pipelines/dual_ship_logs/datadog_agent.md +++ b/content/en/observability_pipelines/dual_ship_logs/datadog_agent.md @@ -8,6 +8,8 @@ disable_toc: false Configure the Datadog Agent and set up Observability Pipelines so that the Observability Pipelines Worker aggregates and processes the logs coming from your upstream sources before routing them to various applications. +{{< img src="observability_pipelines/use_cases/dual_ship_logs.png" alt="The log sources, processors, and destinations available for this use case" width="100%" >}} + This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) @@ -55,6 +57,8 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/filter_syntax %}} +{{< img src="observability_pipelines/processors/general_processors.png" alt="The log processors available" width="40%" >}} + {{% observability_pipelines/processors/add_processors %}} {{< tabs >}} {{% tab "Filter" %}} diff --git a/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md b/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md index 7c445a701e3ac..e59ff104ad9bf 100644 --- a/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md +++ b/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md @@ -10,6 +10,8 @@ Configure your Splunk HTTP Event Collectors (HEC) and set up Observability Pipel See [Dual Ship Logs from Splunk TCP][1] if you want to ingest logs from Splunk Heavy or Splunk Universal Forwarders. +{{< img src="observability_pipelines/use_cases/dual_ship_logs.png" alt="The log sources, processors, and destinations available for this use case" width="100%" >}} + This document walks you through the following steps to set up dual shipping: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines @@ -63,6 +65,8 @@ Enter the following information based on your selected logs destinations. {{% observability_pipelines/processors/filter_syntax %}} +{{< img src="observability_pipelines/processors/general_processors.png" alt="The log processors available" width="40%" >}} + {{% observability_pipelines/processors/add_processors %}} {{< tabs >}} diff --git a/content/en/observability_pipelines/dual_ship_logs/splunk_tcp.md b/content/en/observability_pipelines/dual_ship_logs/splunk_tcp.md index cdeb55b1b8229..f24519f150cb7 100644 --- a/content/en/observability_pipelines/dual_ship_logs/splunk_tcp.md +++ b/content/en/observability_pipelines/dual_ship_logs/splunk_tcp.md @@ -8,6 +8,8 @@ disable_toc: false Configure your Splunk Heavy or Universal Forwarders to send logs to the Observability Pipelines Worker to process and route them to downstream destinations. +{{< img src="observability_pipelines/use_cases/dual_ship_logs.png" alt="The log sources, processors, and destinations available for this use case" width="100%" >}} + This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) @@ -61,6 +63,8 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/filter_syntax %}} +{{< img src="observability_pipelines/processors/general_processors.png" alt="The log processors available" width="40%" >}} + {{% observability_pipelines/processors/add_processors %}} {{< tabs >}} diff --git a/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md index 4b34ff4951f3b..11bb7dbc01272 100644 --- a/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md @@ -8,6 +8,8 @@ disable_toc: false Configure Sumo Logic Hosted Collector the HTTP Logs source to send logs to the Observability Pipelines Worker so that Observability Pipelines receives and routes logs from the Sumo Logic Hosted Collector to downstream destinations. +{{< img src="observability_pipelines/use_cases/dual_ship_logs.png" alt="The log sources, processors, and destinations available for this use case" width="100%" >}} + This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) @@ -61,6 +63,8 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/filter_syntax %}} +{{< img src="observability_pipelines/processors/general_processors.png" alt="The log processors available" width="40%" >}} + {{% observability_pipelines/processors/add_processors %}} {{< tabs >}} diff --git a/content/en/observability_pipelines/log_volume_control/_index.md b/content/en/observability_pipelines/log_volume_control/_index.md index 08ad10bfbee81..fc8fe6ded572d 100644 --- a/content/en/observability_pipelines/log_volume_control/_index.md +++ b/content/en/observability_pipelines/log_volume_control/_index.md @@ -14,6 +14,8 @@ As your infrastructure and applications grow, so does your log volume and the co - Dedupe: Drop duplicate copies of your logs, for example, due to retries because of network issues. - Remap: Add, drop, or rename a field in your logs. +{{< img src="observability_pipelines/use_cases/log_volume_control.png" alt="The log sources, processors, and destinations available for the split logs use case" width="100%" >}} + Select a log source to get started: - [Splunk HTTP Event Collector (HEC)][1] diff --git a/content/en/observability_pipelines/log_volume_control/splunk_hec.md b/content/en/observability_pipelines/log_volume_control/splunk_hec.md index 07c8f8bb00995..64c8c16a46898 100644 --- a/content/en/observability_pipelines/log_volume_control/splunk_hec.md +++ b/content/en/observability_pipelines/log_volume_control/splunk_hec.md @@ -13,6 +13,8 @@ This document walks you through the following steps: 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) 1. [Sending logs to the Worker over Splunk HEC](#send-logs-to-the-observability-pipelines-worker-over-splunk-hec) +{{< img src="observability_pipelines/use_cases/log_volume_control.png" alt="The log sources, processors, and destinations available for the split logs use case" width="100%" >}} + ## Prerequisites {{% observability_pipelines/prerequisites/splunk_hec %}} @@ -50,6 +52,8 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/filter_syntax %}} +{{< img src="observability_pipelines/processors/general_processors.png" alt="The log processors available" width="40%" >}} + {{% observability_pipelines/processors/add_processors %}} {{< tabs >}} diff --git a/content/en/observability_pipelines/log_volume_control/splunk_tcp.md b/content/en/observability_pipelines/log_volume_control/splunk_tcp.md index 3a41cd48fc52d..490ca79ba7215 100644 --- a/content/en/observability_pipelines/log_volume_control/splunk_tcp.md +++ b/content/en/observability_pipelines/log_volume_control/splunk_tcp.md @@ -12,6 +12,8 @@ This document walks you through the following steps to set up the Observability 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) 1. [Connecting Splunk Forwarder to the Observability Pipelines Worker](#connect-splunk-forwarder-to-the-observability-pipelines-worker) +{{< img src="observability_pipelines/use_cases/log_volume_control.png" alt="The log sources, processors, and destinations available for the split logs use case" width="100%" >}} + ## Prerequisites {{% observability_pipelines/prerequisites/splunk_tcp %}} @@ -54,6 +56,8 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/filter_syntax %}} +{{< img src="observability_pipelines/processors/general_processors.png" alt="The log processors available" width="40%" >}} + {{% observability_pipelines/processors/add_processors %}} {{< tabs >}} diff --git a/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md index 4344d3679d32c..2eb9e3ea7a2e9 100644 --- a/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md @@ -12,6 +12,8 @@ This document walks you through the following steps to set up the Observability 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) 1. [Sending logs to the Observability Pipelines Worker over Sumo Logic HTTP Source](#send-logs-to-the-observability-pipelines-worker-over-sumo-logic-http-source) +{{< img src="observability_pipelines/use_cases/log_volume_control.png" alt="The log sources, processors, and destinations available for the split logs use case" width="100%" >}} + ## Prerequisites {{% observability_pipelines/prerequisites/sumo_logic %}} @@ -54,6 +56,8 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/filter_syntax %}} +{{< img src="observability_pipelines/processors/general_processors.png" alt="The log processors available" width="40%" >}} + {{% observability_pipelines/processors/add_processors %}} {{< tabs >}} diff --git a/content/en/observability_pipelines/sensitive_data_redaction/_index.md b/content/en/observability_pipelines/sensitive_data_redaction/_index.md index 1ccf439673ec3..c6c49f05969b6 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/_index.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/_index.md @@ -10,6 +10,8 @@ Sensitive data, such as credit card numbers, bank routing numbers, and API keys, Use the Observability Pipelines Worker to identify, tag, and optionally redact or hash sensitive information before routing logs to different destinations and outside of your infrastructure. You can use out-of-the-box scanning rules to detect common patterns such as email addresses, credit card numbers, API keys, authorization tokens, and more. Or, create custom scanning rules using regex patterns to match sensitive information. +{{< img src="observability_pipelines/use_cases/sensitive_data_scanner.png" alt="The log sources, processors, and destinations available for this use case" width="100%" >}} + Select a log source to get started: - [Datadog Agent][1] diff --git a/content/en/observability_pipelines/sensitive_data_redaction/datadog_agent.md b/content/en/observability_pipelines/sensitive_data_redaction/datadog_agent.md index 3f06fba7af1d1..827ce59e896be 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/datadog_agent.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/datadog_agent.md @@ -10,6 +10,8 @@ Sensitive data, such as credit card numbers, bank routing numbers, and API keys, Use the Observability Pipelines to identify, tag, and optionally redact or hash sensitive information before routing logs to different destinations and outside of your infrastructure. You can use out-of-the-box scanning rules to detect common patterns such as email addresses, credit card numbers, API keys, authorization tokens, and more. Or, create custom scanning rules using regex patterns to match sensitive information. +{{< img src="observability_pipelines/use_cases/sensitive_data_scanner.png" alt="The log sources, processors, and destinations available for this use case" width="100%" >}} + This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) @@ -57,6 +59,8 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/filter_syntax %}} +{{< img src="observability_pipelines/processors/general_processors.png" alt="The log processors available" width="40%" >}} + {{% observability_pipelines/processors/add_processors %}} {{< tabs >}} diff --git a/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md b/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md index 962edb0342f1c..f2ad2fd4a5060 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md @@ -10,6 +10,8 @@ Sensitive data, such as credit card numbers, bank routing numbers, and API keys, Use the Observability Pipelines to identify, tag, and optionally redact or hash sensitive information before routing logs to different destinations and outside of your infrastructure. You can use out-of-the-box scanning rules to detect common patterns such as email addresses, credit card numbers, API keys, authorization tokens, and more. Or, create custom scanning rules using regex patterns to match sensitive information. +{{< img src="observability_pipelines/use_cases/sensitive_data_scanner.png" alt="The log sources, processors, and destinations available for this use case" width="100%" >}} + This document walks through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) @@ -57,6 +59,8 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/filter_syntax %}} +{{< img src="observability_pipelines/processors/general_processors.png" alt="The log processors available" width="40%" >}} + {{% observability_pipelines/processors/add_processors %}} {{< tabs >}} diff --git a/content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md b/content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md index 39e31f8b08d64..d4bbfa9ebb932 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md @@ -10,6 +10,8 @@ Sensitive data, such as credit card numbers, bank routing numbers, and API keys, Use the Observability Pipelines to identify, tag, and optionally redact or hash sensitive information before routing logs to different destinations and outside of your infrastructure. You can use out-of-the-box scanning rules to detect common patterns such as email addresses, credit card numbers, API keys, authorization tokens, and more. Or, create custom scanning rules using regex patterns to match sensitive information. +{{< img src="observability_pipelines/use_cases/sensitive_data_scanner.png" alt="The log sources, processors, and destinations available for this use case" width="100%" >}} + This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) @@ -57,6 +59,8 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/filter_syntax %}} +{{< img src="observability_pipelines/processors/general_processors.png" alt="The log processors available" width="40%" >}} + {{% observability_pipelines/processors/add_processors %}} {{< tabs >}} diff --git a/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md index 5f2e9b8a044a5..11e8519cec448 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md @@ -12,6 +12,8 @@ Use the Observability Pipelines to identify, tag, and optionally redact or hash Observability Pipelines supports Sumo Logic Collector HTTP Logs source. +{{< img src="observability_pipelines/use_cases/sensitive_data_scanner.png" alt="The log sources, processors, and destinations available for this use case" width="100%" >}} + This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines 1. [Setting up Observability Pipelines](#set-up-observability-pipelines) @@ -59,6 +61,8 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/filter_syntax %}} +{{< img src="observability_pipelines/processors/general_processors.png" alt="The log processors available" width="40%" >}} + {{% observability_pipelines/processors/add_processors %}} {{< tabs >}} diff --git a/content/en/observability_pipelines/split_logs/datadog_agent.md b/content/en/observability_pipelines/split_logs/datadog_agent.md index b799c041d94c5..566214d3b646b 100644 --- a/content/en/observability_pipelines/split_logs/datadog_agent.md +++ b/content/en/observability_pipelines/split_logs/datadog_agent.md @@ -68,8 +68,7 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/intro %}} -{{< img src="observability_pipelines/processors/general_processors.png" alt="The log processors available" width="40%" style="center" >}} - +{{< img src="observability_pipelines/processors/general_processors.png" alt="The log processors available" width="40%" >}} {{% observability_pipelines/processors/filter_syntax %}} {{% observability_pipelines/processors/add_processors %}} diff --git a/content/en/observability_pipelines/split_logs/splunk_hec.md b/content/en/observability_pipelines/split_logs/splunk_hec.md index 0ea9165870682..c8598c59b90f8 100644 --- a/content/en/observability_pipelines/split_logs/splunk_hec.md +++ b/content/en/observability_pipelines/split_logs/splunk_hec.md @@ -63,6 +63,8 @@ Enter the following information based on your selected logs destinations. {{% observability_pipelines/processors/filter_syntax %}} +{{< img src="observability_pipelines/processors/general_processors.png" alt="The log processors available" width="40%" >}} + {{% observability_pipelines/processors/add_processors %}} {{< tabs >}} diff --git a/content/en/observability_pipelines/split_logs/splunk_tcp.md b/content/en/observability_pipelines/split_logs/splunk_tcp.md index de6d031429af3..f7d51d8c6fcce 100644 --- a/content/en/observability_pipelines/split_logs/splunk_tcp.md +++ b/content/en/observability_pipelines/split_logs/splunk_tcp.md @@ -63,6 +63,8 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/filter_syntax %}} +{{< img src="observability_pipelines/processors/general_processors.png" alt="The log processors available" width="40%" >}} + {{% observability_pipelines/processors/add_processors %}} {{< tabs >}} diff --git a/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md index b13b7fc9b54ef..523ea1dbce21c 100644 --- a/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md @@ -63,6 +63,8 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/filter_syntax %}} +{{< img src="observability_pipelines/processors/general_processors.png" alt="The log processors available" width="40%" >}} + {{% observability_pipelines/processors/add_processors %}} {{< tabs >}} diff --git a/static/images/observability_pipelines/use_cases/dual_ship.png b/static/images/observability_pipelines/use_cases/dual_ship_logs.png similarity index 100% rename from static/images/observability_pipelines/use_cases/dual_ship.png rename to static/images/observability_pipelines/use_cases/dual_ship_logs.png diff --git a/static/images/observability_pipelines/use_cases/sds.png b/static/images/observability_pipelines/use_cases/sensitive_data_scanner.png similarity index 100% rename from static/images/observability_pipelines/use_cases/sds.png rename to static/images/observability_pipelines/use_cases/sensitive_data_scanner.png From 00d4f522400d67da765ad775fdcec4b3e31b81e8 Mon Sep 17 00:00:00 2001 From: May Lee Date: Wed, 10 Apr 2024 16:34:27 -0400 Subject: [PATCH 81/88] update images --- .../sensitive_data_redaction/_index.md | 2 +- .../sensitive_data_redaction/datadog_agent.md | 4 ++-- .../sensitive_data_redaction/splunk_hec.md | 4 ++-- .../sensitive_data_redaction/splunk_tcp.md | 4 ++-- .../sumo_logic_hosted_collector.md | 4 ++-- .../processors/sdr_processors.png | Bin 0 -> 39759 bytes .../use_cases/archive_logs.png | Bin 320561 -> 318778 bytes .../use_cases/dual_ship_logs.png | Bin 197194 -> 201786 bytes .../use_cases/log_volume_control.png | Bin 122163 -> 120658 bytes .../use_cases/sensitive_data_redaction.png | Bin 0 -> 171443 bytes .../use_cases/sensitive_data_scanner.png | Bin 171882 -> 0 bytes .../use_cases/split_logs.png | Bin 275043 -> 278156 bytes 12 files changed, 9 insertions(+), 9 deletions(-) create mode 100644 static/images/observability_pipelines/processors/sdr_processors.png create mode 100644 static/images/observability_pipelines/use_cases/sensitive_data_redaction.png delete mode 100644 static/images/observability_pipelines/use_cases/sensitive_data_scanner.png diff --git a/content/en/observability_pipelines/sensitive_data_redaction/_index.md b/content/en/observability_pipelines/sensitive_data_redaction/_index.md index c6c49f05969b6..ae3356cb0b284 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/_index.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/_index.md @@ -10,7 +10,7 @@ Sensitive data, such as credit card numbers, bank routing numbers, and API keys, Use the Observability Pipelines Worker to identify, tag, and optionally redact or hash sensitive information before routing logs to different destinations and outside of your infrastructure. You can use out-of-the-box scanning rules to detect common patterns such as email addresses, credit card numbers, API keys, authorization tokens, and more. Or, create custom scanning rules using regex patterns to match sensitive information. -{{< img src="observability_pipelines/use_cases/sensitive_data_scanner.png" alt="The log sources, processors, and destinations available for this use case" width="100%" >}} +{{< img src="observability_pipelines/use_cases/sensitive_data_redaction.png" alt="The log sources, processors, and destinations available for this use case" width="100%" >}} Select a log source to get started: diff --git a/content/en/observability_pipelines/sensitive_data_redaction/datadog_agent.md b/content/en/observability_pipelines/sensitive_data_redaction/datadog_agent.md index 827ce59e896be..a3d36a21a7a8c 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/datadog_agent.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/datadog_agent.md @@ -10,7 +10,7 @@ Sensitive data, such as credit card numbers, bank routing numbers, and API keys, Use the Observability Pipelines to identify, tag, and optionally redact or hash sensitive information before routing logs to different destinations and outside of your infrastructure. You can use out-of-the-box scanning rules to detect common patterns such as email addresses, credit card numbers, API keys, authorization tokens, and more. Or, create custom scanning rules using regex patterns to match sensitive information. -{{< img src="observability_pipelines/use_cases/sensitive_data_scanner.png" alt="The log sources, processors, and destinations available for this use case" width="100%" >}} +{{< img src="observability_pipelines/use_cases/sensitive_data_redaction.png" alt="The log sources, processors, and destinations available for this use case" width="100%" >}} This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines @@ -59,7 +59,7 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/filter_syntax %}} -{{< img src="observability_pipelines/processors/general_processors.png" alt="The log processors available" width="40%" >}} +{{< img src="observability_pipelines/processors/sdr_processors.png" alt="The log processors available" width="40%" >}} {{% observability_pipelines/processors/add_processors %}} diff --git a/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md b/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md index f2ad2fd4a5060..3a795aaa6c68f 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md @@ -10,7 +10,7 @@ Sensitive data, such as credit card numbers, bank routing numbers, and API keys, Use the Observability Pipelines to identify, tag, and optionally redact or hash sensitive information before routing logs to different destinations and outside of your infrastructure. You can use out-of-the-box scanning rules to detect common patterns such as email addresses, credit card numbers, API keys, authorization tokens, and more. Or, create custom scanning rules using regex patterns to match sensitive information. -{{< img src="observability_pipelines/use_cases/sensitive_data_scanner.png" alt="The log sources, processors, and destinations available for this use case" width="100%" >}} +{{< img src="observability_pipelines/use_cases/sensitive_data_redaction.png" alt="The log sources, processors, and destinations available for this use case" width="100%" >}} This document walks through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines @@ -59,7 +59,7 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/filter_syntax %}} -{{< img src="observability_pipelines/processors/general_processors.png" alt="The log processors available" width="40%" >}} +{{< img src="observability_pipelines/processors/sdr_processors.png" alt="The log processors available" width="40%" >}} {{% observability_pipelines/processors/add_processors %}} diff --git a/content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md b/content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md index d4bbfa9ebb932..abec10fb2c0e0 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md @@ -10,7 +10,7 @@ Sensitive data, such as credit card numbers, bank routing numbers, and API keys, Use the Observability Pipelines to identify, tag, and optionally redact or hash sensitive information before routing logs to different destinations and outside of your infrastructure. You can use out-of-the-box scanning rules to detect common patterns such as email addresses, credit card numbers, API keys, authorization tokens, and more. Or, create custom scanning rules using regex patterns to match sensitive information. -{{< img src="observability_pipelines/use_cases/sensitive_data_scanner.png" alt="The log sources, processors, and destinations available for this use case" width="100%" >}} +{{< img src="observability_pipelines/use_cases/sensitive_data_redaction.png" alt="The log sources, processors, and destinations available for this use case" width="100%" >}} This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines @@ -59,7 +59,7 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/filter_syntax %}} -{{< img src="observability_pipelines/processors/general_processors.png" alt="The log processors available" width="40%" >}} +{{< img src="observability_pipelines/processors/sdr_processors.png" alt="The log processors available" width="40%" >}} {{% observability_pipelines/processors/add_processors %}} diff --git a/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md index 11e8519cec448..bd7a7a5e90d89 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md @@ -12,7 +12,7 @@ Use the Observability Pipelines to identify, tag, and optionally redact or hash Observability Pipelines supports Sumo Logic Collector HTTP Logs source. -{{< img src="observability_pipelines/use_cases/sensitive_data_scanner.png" alt="The log sources, processors, and destinations available for this use case" width="100%" >}} +{{< img src="observability_pipelines/use_cases/sensitive_data_redaction.png" alt="The log sources, processors, and destinations available for this use case" width="100%" >}} This document walks you through the following steps: 1. The [prerequisites](#prerequisites) needed to set up Observability Pipelines @@ -61,7 +61,7 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/filter_syntax %}} -{{< img src="observability_pipelines/processors/general_processors.png" alt="The log processors available" width="40%" >}} +{{< img src="observability_pipelines/processors/sdr_processors.png" alt="The log processors available" width="40%" >}} {{% observability_pipelines/processors/add_processors %}} diff --git a/static/images/observability_pipelines/processors/sdr_processors.png b/static/images/observability_pipelines/processors/sdr_processors.png new file mode 100644 index 0000000000000000000000000000000000000000..13fe8e86c5ab5d81b03999dfd3ff38908c835acc GIT binary patch literal 39759 zcmd4(WmMGP_XZ3DqJT()C^a+)0tVgP-HjmK-NT49NSAbjbax4Ylyv6+(%m^Q_xKZ) z@AF^JtNYFETC-*t&u5?7d!N1cb)5;4mlZ>MOz;>E4h~I1Tv!nf?g2U+9DD`xBiJ`G zwzaCETG$Z&}81aJ?3HG#c&;R*kK7KNvUd+@*S z5#Zng%-|63+Q`D*fBlPqy?#CO`~5*W{9S9dCxsT-WpgCOf~&F|Tx^?j0eZozZabm!PhZtz1g*~ z>IlSgp44%f&X$Pg4tH5_>+(AA0jN7UImHa7xGb1m@7AUPk2crOHrL-4mzNI*2L~sH zi$})B#b|1{)yKxGscUHDi;#Ej1*!`O2ry$XlET3w^TQ!vcJmF0ncb;V}Z9JQ?D9+FCQPpr0p+WDp?2aH~bv<}T zxDw|5015V;Uo37sJDI{pC&I@JG+yhwE;yv%mLe);#M;OrI1ns~%Kdo`zCNhATub6= zleZXbK8R|*ZpDD0hH)Qtvog7#O`Gh-s_B+5FB@o?b>dlWlr71!i*qvr9z1$tyPPp6 zDM?8}uBzS*GM<53d4z!Z0S=KgA`9^XbV6js9*pKKjXec|-dGhD*BoU%VQRhdSD74} z-YH#I*U@PP*nNJbFL>gVxa>IZGemSu2`RxN;xdQG%MsXq^z=P3+h}y4%{20CQ_R1Sy|6 z9CDKiRv^zMrJCev?Y*85_zjVzJqmgh%KAzrAC2?>F3AuOAwx-TRruRB6gWvRr-(u& zi`;FJ(SAwyAJBbtjB#@8Dbr38Tv2-+iC57;g3XQ7H8y!tXVJ z^G>FbX9vzGj}Gflq=lihBk>aBY+RU8gZQAHS1-WjlcxNUTm>mOCtT3$Za zI$7MrIKCL3oYX^yN?v>io1gi+-Xi zGsHXXxfDzP030ylSc~KsFMY)>+N^qFb~lS@8JG>s?+R^_M%W>2 zZCH#6h()8j?B_A{tY;WeQTjzR0n8n5m>TPiS` zTt$`~XQ0CSZ(T&vFQfIn#)D>HYD$b5A&%Ua&B{?uit2^IiKLXgY{2$-N!YvN>)a)( z<<4h?8rxxm>!Uu6v(w~y-ln3WAH8#_XuM#AI6X87yU=e%KMIATK);;G9795QPM(g1 zQXHqOp<<+>61&$h6ZD|6-eLW^f1VO|MP6qw&MKCon$kuw=E}hXAtnNRiD1!LR zt~>L4IxS{5H3IgdnX%&R>?wjRDaaT#hYAJ}dpGKXAb&-+8Pan3t>l6bEeM5y7(+!q zZ_L9#dc23l&+Zrw$R~@aMTCq|$f((WOwXUY6sX(25>EkxGrp8{lY7OR)@oIG=uRyY zV&(F$GT_oZ`t8m(x)3qZZ|V;7IT1N2Fo~UPu~rY}rqs8h#Yu5FL61Vk5zD`d3z;yx zq2IYbD+J_#Icq*i3~v%DOi|*;a~p#C@3$o-9*6U|S7937HT%G?ipkGzDDqYw8QGA@ zn-tU5bzp%t)9`=p2hMwebg1d+dz+>pmph;Fe_Y?4xBcaT4L{4n76-~a29e;%mc>Gj_Mc|KD zx%*FkF~kb%^^II=M`1y=HNEIDt*0Y4G=0`Zb)0JVeNpV2JpT z1i1h-+V)`bv9g$kiAnPda(5MW#5PP{!Q=X20>Y%Z42P@-!&mehGML3StB>#W=zk*z zN|Bx<0beAG(!P9Y$w5i_SW84$>a|A}c+LVgTyk*-|# z$9PP{^mSO7!{T zW=(TlELA*4dWM>)sK8iUd<|iK$Ept-+uwiQ{MMG=OS*xE5L&Wd6uy1B_odjPY-Yy2 zuq5BY&B>dket*vi&1phj{hf#i78B{?kl;+E&mSYY9W^{0IVN89V&;;KPja;_cKF~b zmK{}K7t-4B3O+OWw4|NM46dw zD1Pq5vdrBef#XU;Y*e2|ao59srv3GIig2gMoRsMbfjNBzO@Z>l`!qWcQrPJ$D=aR4 z;_JGBwM06M$<-^br?&5}kSO*%m_mfrQQR*rZj20zMDU(+!y!nZm|l%!cE+lzffs)= z*M*-(8qkm|ivpsIhdPm-@Oo#*uCxu9GF*O5ht7s~1@V!vf5vB`QFjl(bA-Gb}WrM`}}x-bOuJQvWe1 z(uha!z|TzfmF`cO@=pLeNjiv$$?r@DUMekBPm8eNRjD0WbaR$dg(o{D$=oRr9H z3ztb23Wk@s8^r(iaOed*Fx@5O<+LE1lLTOIdwZTvT9yMBzm`+d#bt$zqMeM6Kr@$S ze0*HfF1tfbo&qh4&UC8Ak#?8!RH&#r} zN)z|CN>#3)u-M5wZyHOJ7fo8O7f!q4{s!?sMjSg=1!(8;)?ck{WnIU{D~f{^VysaE zHcWkdeF(9K{qgKOhPEWw1zmhoP44&K%?*FrHjb~BrVVrei@5+#hiv4|L;XhcWLStd z)m`gZojk7cX?8D7(wwf}Fv}^7L>2x$e10#&HKL%NHt?8}L30HXK5l|>b1qD^C5>-r z*pbop;u%A0!&X7zK_#Yvg25j1_F`jX#sHtgaxFw_! 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t4~P|}{}+({f}e*00@sxPpT!7U(5!afaL2Xuz9YcDd(w)x({36*`!6WLFI@lt From f29018cdaebfd4ff634cb75cdc2bcfe38b8c474f Mon Sep 17 00:00:00 2001 From: May Lee Date: Wed, 10 Apr 2024 18:29:22 -0400 Subject: [PATCH 82/88] remap to edit fields --- .../en/observability_pipelines/archive_logs/datadog_agent.md | 2 +- content/en/observability_pipelines/archive_logs/splunk_hec.md | 2 +- content/en/observability_pipelines/archive_logs/splunk_tcp.md | 2 +- .../archive_logs/sumo_logic_hosted_collector.md | 2 +- .../en/observability_pipelines/dual_ship_logs/datadog_agent.md | 2 +- content/en/observability_pipelines/dual_ship_logs/splunk_hec.md | 2 +- content/en/observability_pipelines/dual_ship_logs/splunk_tcp.md | 2 +- .../dual_ship_logs/sumo_logic_hosted_collector.md | 2 +- .../en/observability_pipelines/log_volume_control/splunk_hec.md | 2 +- .../en/observability_pipelines/log_volume_control/splunk_tcp.md | 2 +- .../log_volume_control/sumo_logic_hosted_collector.md | 2 +- .../sensitive_data_redaction/datadog_agent.md | 2 +- .../sensitive_data_redaction/splunk_hec.md | 2 +- .../sensitive_data_redaction/splunk_tcp.md | 2 +- .../sensitive_data_redaction/sumo_logic_hosted_collector.md | 2 +- content/en/observability_pipelines/split_logs/datadog_agent.md | 2 +- content/en/observability_pipelines/split_logs/splunk_hec.md | 2 +- content/en/observability_pipelines/split_logs/splunk_tcp.md | 2 +- .../split_logs/sumo_logic_hosted_collector.md | 2 +- 19 files changed, 19 insertions(+), 19 deletions(-) diff --git a/content/en/observability_pipelines/archive_logs/datadog_agent.md b/content/en/observability_pipelines/archive_logs/datadog_agent.md index 3035e82f4a7ba..5ec605e66ed43 100644 --- a/content/en/observability_pipelines/archive_logs/datadog_agent.md +++ b/content/en/observability_pipelines/archive_logs/datadog_agent.md @@ -115,7 +115,7 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/dedupe %}} {{% /tab %}} -{{% tab "Remap" %}} +{{% tab "Edit fields" %}} {{% observability_pipelines/processors/remap %}} diff --git a/content/en/observability_pipelines/archive_logs/splunk_hec.md b/content/en/observability_pipelines/archive_logs/splunk_hec.md index 6efeeb8ba99b8..fb766963731ba 100644 --- a/content/en/observability_pipelines/archive_logs/splunk_hec.md +++ b/content/en/observability_pipelines/archive_logs/splunk_hec.md @@ -116,7 +116,7 @@ Enter the following information based on your selected logs destinations. {{% observability_pipelines/processors/dedupe %}} {{% /tab %}} -{{% tab "Remap" %}} +{{% tab "Edit fields" %}} {{% observability_pipelines/processors/remap %}} diff --git a/content/en/observability_pipelines/archive_logs/splunk_tcp.md b/content/en/observability_pipelines/archive_logs/splunk_tcp.md index bc22edd46a512..fd7c728e60a32 100644 --- a/content/en/observability_pipelines/archive_logs/splunk_tcp.md +++ b/content/en/observability_pipelines/archive_logs/splunk_tcp.md @@ -116,7 +116,7 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/dedupe %}} {{% /tab %}} -{{% tab "Remap" %}} +{{% tab "Edit fields" %}} {{% observability_pipelines/processors/remap %}} diff --git a/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md index e3de6434662ff..8755b05b6bab1 100644 --- a/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/archive_logs/sumo_logic_hosted_collector.md @@ -116,7 +116,7 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/dedupe %}} {{% /tab %}} -{{% tab "Remap" %}} +{{% tab "Edit fields" %}} {{% observability_pipelines/processors/remap %}} diff --git a/content/en/observability_pipelines/dual_ship_logs/datadog_agent.md b/content/en/observability_pipelines/dual_ship_logs/datadog_agent.md index ad21aecbe3950..dd723bd9bf9fe 100644 --- a/content/en/observability_pipelines/dual_ship_logs/datadog_agent.md +++ b/content/en/observability_pipelines/dual_ship_logs/datadog_agent.md @@ -81,7 +81,7 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/dedupe %}} {{% /tab %}} -{{% tab "Remap" %}} +{{% tab "Edit fields" %}} {{% observability_pipelines/processors/remap %}} diff --git a/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md b/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md index e59ff104ad9bf..8c89212b63826 100644 --- a/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md +++ b/content/en/observability_pipelines/dual_ship_logs/splunk_hec.md @@ -90,7 +90,7 @@ Enter the following information based on your selected logs destinations. {{% observability_pipelines/processors/dedupe %}} {{% /tab %}} -{{% tab "Remap" %}} +{{% tab "Edit fields" %}} {{% observability_pipelines/processors/remap %}} diff --git a/content/en/observability_pipelines/dual_ship_logs/splunk_tcp.md b/content/en/observability_pipelines/dual_ship_logs/splunk_tcp.md index f24519f150cb7..912609442fa89 100644 --- a/content/en/observability_pipelines/dual_ship_logs/splunk_tcp.md +++ b/content/en/observability_pipelines/dual_ship_logs/splunk_tcp.md @@ -88,7 +88,7 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/dedupe %}} {{% /tab %}} -{{% tab "Remap" %}} +{{% tab "Edit fields" %}} {{% observability_pipelines/processors/remap %}} diff --git a/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md index 11bb7dbc01272..596cd62bf1be0 100644 --- a/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/dual_ship_logs/sumo_logic_hosted_collector.md @@ -88,7 +88,7 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/dedupe %}} {{% /tab %}} -{{% tab "Remap" %}} +{{% tab "Edit fields" %}} {{% observability_pipelines/processors/remap %}} diff --git a/content/en/observability_pipelines/log_volume_control/splunk_hec.md b/content/en/observability_pipelines/log_volume_control/splunk_hec.md index 64c8c16a46898..1648ea509dc9e 100644 --- a/content/en/observability_pipelines/log_volume_control/splunk_hec.md +++ b/content/en/observability_pipelines/log_volume_control/splunk_hec.md @@ -77,7 +77,7 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/dedupe %}} {{% /tab %}} -{{% tab "Remap" %}} +{{% tab "Edit fields" %}} {{% observability_pipelines/processors/remap %}} diff --git a/content/en/observability_pipelines/log_volume_control/splunk_tcp.md b/content/en/observability_pipelines/log_volume_control/splunk_tcp.md index 490ca79ba7215..79450e75fc646 100644 --- a/content/en/observability_pipelines/log_volume_control/splunk_tcp.md +++ b/content/en/observability_pipelines/log_volume_control/splunk_tcp.md @@ -81,7 +81,7 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/dedupe %}} {{% /tab %}} -{{% tab "Remap" %}} +{{% tab "Edit fields" %}} {{% observability_pipelines/processors/remap %}} diff --git a/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md index 2eb9e3ea7a2e9..12f2c3d6cd14d 100644 --- a/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md @@ -81,7 +81,7 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/dedupe %}} {{% /tab %}} -{{% tab "Remap" %}} +{{% tab "Edit fields" %}} {{% observability_pipelines/processors/remap %}} diff --git a/content/en/observability_pipelines/sensitive_data_redaction/datadog_agent.md b/content/en/observability_pipelines/sensitive_data_redaction/datadog_agent.md index a3d36a21a7a8c..52d4adace80c2 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/datadog_agent.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/datadog_agent.md @@ -84,7 +84,7 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/dedupe %}} {{% /tab %}} -{{% tab "Remap" %}} +{{% tab "Edit fields" %}} {{% observability_pipelines/processors/remap %}} diff --git a/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md b/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md index 3a795aaa6c68f..845af5fb3c0a5 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/splunk_hec.md @@ -84,7 +84,7 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/dedupe %}} {{% /tab %}} -{{% tab "Remap" %}} +{{% tab "Edit fields" %}} {{% observability_pipelines/processors/remap %}} diff --git a/content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md b/content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md index abec10fb2c0e0..e04ff57ff581e 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/splunk_tcp.md @@ -84,7 +84,7 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/dedupe %}} {{% /tab %}} -{{% tab "Remap" %}} +{{% tab "Edit fields" %}} {{% observability_pipelines/processors/remap %}} diff --git a/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md index bd7a7a5e90d89..1705fb74ae2fd 100644 --- a/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/sensitive_data_redaction/sumo_logic_hosted_collector.md @@ -86,7 +86,7 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/dedupe %}} {{% /tab %}} -{{% tab "Remap" %}} +{{% tab "Edit fields" %}} {{% observability_pipelines/processors/remap %}} diff --git a/content/en/observability_pipelines/split_logs/datadog_agent.md b/content/en/observability_pipelines/split_logs/datadog_agent.md index 566214d3b646b..799d6edf07f1e 100644 --- a/content/en/observability_pipelines/split_logs/datadog_agent.md +++ b/content/en/observability_pipelines/split_logs/datadog_agent.md @@ -94,7 +94,7 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/dedupe %}} {{% /tab %}} -{{% tab "Remap" %}} +{{% tab "Edit fields" %}} {{% observability_pipelines/processors/remap %}} diff --git a/content/en/observability_pipelines/split_logs/splunk_hec.md b/content/en/observability_pipelines/split_logs/splunk_hec.md index c8598c59b90f8..8902cf30a2f9a 100644 --- a/content/en/observability_pipelines/split_logs/splunk_hec.md +++ b/content/en/observability_pipelines/split_logs/splunk_hec.md @@ -88,7 +88,7 @@ Enter the following information based on your selected logs destinations. {{% observability_pipelines/processors/dedupe %}} {{% /tab %}} -{{% tab "Remap" %}} +{{% tab "Edit fields" %}} {{% observability_pipelines/processors/remap %}} diff --git a/content/en/observability_pipelines/split_logs/splunk_tcp.md b/content/en/observability_pipelines/split_logs/splunk_tcp.md index f7d51d8c6fcce..ec877aed39d1b 100644 --- a/content/en/observability_pipelines/split_logs/splunk_tcp.md +++ b/content/en/observability_pipelines/split_logs/splunk_tcp.md @@ -88,7 +88,7 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/dedupe %}} {{% /tab %}} -{{% tab "Remap" %}} +{{% tab "Edit fields" %}} {{% observability_pipelines/processors/remap %}} diff --git a/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md index 523ea1dbce21c..0bc5f69af5c0d 100644 --- a/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/split_logs/sumo_logic_hosted_collector.md @@ -88,7 +88,7 @@ Enter the following information based on your selected logs destination. {{% observability_pipelines/processors/dedupe %}} {{% /tab %}} -{{% tab "Remap" %}} +{{% tab "Edit fields" %}} {{% observability_pipelines/processors/remap %}} From 777d42b14c8a052f777fd745e90a8ead23301d7c Mon Sep 17 00:00:00 2001 From: May Lee Date: Wed, 10 Apr 2024 18:36:27 -0400 Subject: [PATCH 83/88] remove datadog tab from destination env var --- .../observability_pipelines/log_volume_control/splunk_hec.md | 5 ----- .../observability_pipelines/log_volume_control/splunk_tcp.md | 5 ----- .../log_volume_control/sumo_logic_hosted_collector.md | 5 ----- .../destination_settings/splunk_hec.md | 3 +-- 4 files changed, 1 insertion(+), 17 deletions(-) diff --git a/content/en/observability_pipelines/log_volume_control/splunk_hec.md b/content/en/observability_pipelines/log_volume_control/splunk_hec.md index 1648ea509dc9e..ee8af75df690a 100644 --- a/content/en/observability_pipelines/log_volume_control/splunk_hec.md +++ b/content/en/observability_pipelines/log_volume_control/splunk_hec.md @@ -89,11 +89,6 @@ Enter the following information based on your selected logs destination. 1. Enter the Splunk HEC address. This is the address and port where your applications are sending their logging data to. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. {{< tabs >}} -{{% tab "Datadog" %}} - -{{% observability_pipelines/destination_env_vars/datadog %}} - -{{% /tab %}} {{% tab "Splunk HEC" %}} {{% observability_pipelines/destination_env_vars/splunk_hec %}} diff --git a/content/en/observability_pipelines/log_volume_control/splunk_tcp.md b/content/en/observability_pipelines/log_volume_control/splunk_tcp.md index 79450e75fc646..10cae8b41dc50 100644 --- a/content/en/observability_pipelines/log_volume_control/splunk_tcp.md +++ b/content/en/observability_pipelines/log_volume_control/splunk_tcp.md @@ -93,11 +93,6 @@ Enter the following information based on your selected logs destination. 1. Enter the Splunk TCP address. This is the address and port where your applications are sending their logging data. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. {{< tabs >}} -{{% tab "Datadog" %}} - -{{% observability_pipelines/destination_env_vars/datadog %}} - -{{% /tab %}} {{% tab "Splunk HEC" %}} {{% observability_pipelines/destination_env_vars/splunk_hec %}} diff --git a/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md b/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md index 12f2c3d6cd14d..cd1fa8f051974 100644 --- a/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md +++ b/content/en/observability_pipelines/log_volume_control/sumo_logic_hosted_collector.md @@ -93,11 +93,6 @@ Enter the following information based on your selected logs destination. 1. Enter the Sumo Logic address. This is the address and port where your applications are sending their logging data. The Observability Pipelines Worker listens to this address for incoming logs. 1. Provide the environment variables for each of your selected destinations. See [prerequisites](#prerequisites) for more information. {{< tabs >}} -{{% tab "Datadog" %}} - -{{% observability_pipelines/destination_env_vars/datadog %}} - -{{% /tab %}} {{% tab "Splunk HEC" %}} {{% observability_pipelines/destination_env_vars/splunk_hec %}} diff --git a/layouts/shortcodes/observability_pipelines/destination_settings/splunk_hec.md b/layouts/shortcodes/observability_pipelines/destination_settings/splunk_hec.md index f03a29108b599..2d2a802718143 100644 --- a/layouts/shortcodes/observability_pipelines/destination_settings/splunk_hec.md +++ b/layouts/shortcodes/observability_pipelines/destination_settings/splunk_hec.md @@ -1,6 +1,5 @@ -Enter the name of the Splunk index you want your data in. This has to be an allowed index for your HEC. - The following fields are optional: +1. Enter the name of the Splunk index you want your data in. This has to be an allowed index for your HEC. 1. In the **Encoding** dropdown menu, select whether you want to encode your pipeline's output in `JSON` or `Raw` text encodings. If no decoding is selected, the decoding defaults to JSON. 1. Select whether the timestamp should be auto-extracted. If set to `true`, Splunk extracts the timestamp from the message text with the expected format of `yyyy-mm-dd hh:mm:ss`. 1. Set the `sourcetype` to override Splunk's default value, which is `httpevent` for HEC data. From 58ea6042a2b397fdfff1b1a719a6f968ba1f5c22 Mon Sep 17 00:00:00 2001 From: May Lee Date: Wed, 10 Apr 2024 18:39:15 -0400 Subject: [PATCH 84/88] make us1-fed note red --- content/en/observability_pipelines/_index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/observability_pipelines/_index.md b/content/en/observability_pipelines/_index.md index 3e2657b717f25..fcac1397e8c35 100644 --- a/content/en/observability_pipelines/_index.md +++ b/content/en/observability_pipelines/_index.md @@ -18,7 +18,7 @@ further_reading: --- {{< site-region region="gov" >}} -
Observability Pipelines is not available on the US1-FED Datadog site.
+
Observability Pipelines is not available on the US1-FED Datadog site.
{{< /site-region >}}
From f6314613df9d054226f0aa50673ac5e1d6aabe12 Mon Sep 17 00:00:00 2001 From: May Lee Date: Wed, 10 Apr 2024 18:57:43 -0400 Subject: [PATCH 85/88] cloudformation contact support --- .../install_worker/cloudformation.md | 11 ++--------- .../cloudformation_instructions.md | 10 ++++++++++ .../install_worker/cloudformation.md | 16 ++-------------- .../cloudformation_instructions.md | 15 +++++++++++++++ 4 files changed, 29 insertions(+), 23 deletions(-) create mode 100644 layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/cloudformation_instructions.md create mode 100644 layouts/shortcodes/observability_pipelines/install_worker/cloudformation_instructions.md diff --git a/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/cloudformation.md b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/cloudformation.md index d83c4893d1aef..63a0c269b63d9 100644 --- a/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/cloudformation.md +++ b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/cloudformation.md @@ -1,10 +1,3 @@ +Contact [support][100001] if you are interested in installing the Worker for CloudFormation. -1. Select the expected log volume for the pipeline from the dropdown. -1. Select the AWS region you want to use to install the Worker. -1. Click **Select API key** to choose the Datadog API key you want to use. -1. Click **Launch CloudFormation Template** to navigate to the AWS Console to review the stack configuration and then launch it. Make sure the CloudFormation parameters are set as expected. -1. Select the VPC and subnet that you want to use to install the Worker. -1. Review and check the necessary permissions checkboxes for IAM. Click **Submit** to create the stack. CloudFormation handles the installation at this point; the Worker instances are launched, the necessary software is downloaded, and the Worker starts automatically. -1. Delete the previous CloudFormation stack and resources associated with it. -1. Click **Navigate Back** to go back to the Observability Pipelines edit pipeline page. -1. Click **Deploy Changes**. \ No newline at end of file +[100001]: /help/ \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/cloudformation_instructions.md b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/cloudformation_instructions.md new file mode 100644 index 0000000000000..d83c4893d1aef --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/configure_existing_pipelines/install_worker/cloudformation_instructions.md @@ -0,0 +1,10 @@ + +1. Select the expected log volume for the pipeline from the dropdown. +1. Select the AWS region you want to use to install the Worker. +1. Click **Select API key** to choose the Datadog API key you want to use. +1. Click **Launch CloudFormation Template** to navigate to the AWS Console to review the stack configuration and then launch it. Make sure the CloudFormation parameters are set as expected. +1. Select the VPC and subnet that you want to use to install the Worker. +1. Review and check the necessary permissions checkboxes for IAM. Click **Submit** to create the stack. CloudFormation handles the installation at this point; the Worker instances are launched, the necessary software is downloaded, and the Worker starts automatically. +1. Delete the previous CloudFormation stack and resources associated with it. +1. Click **Navigate Back** to go back to the Observability Pipelines edit pipeline page. +1. Click **Deploy Changes**. \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/install_worker/cloudformation.md b/layouts/shortcodes/observability_pipelines/install_worker/cloudformation.md index 7d26891718b2a..63a0c269b63d9 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/cloudformation.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/cloudformation.md @@ -1,15 +1,3 @@ -1. Select one of the options in the dropdown to provide the expected log volume for the pipeline: -| Option | Description | -| ---------- | ----------- | -| Unsure | Use this option if you are not able to project the log volume or you want to test the Worker. This option provisions the EC2 Auto Scaling group with a maximum of 2 general purpose `t4g.large` instances. | -| 1-5 TB/day | This option provisions the EC2 Auto Scaling group with a maximum of 2 compute optimized instances `c6g.large`. | -| 5-10 TB/day | This option provisions the EC2 Auto Scaling group with a minimum of 2 and a maximum of 5 compute optimized `c6g.large` instances. | -| >10 TB/day | Datadog recommends this option for large-scale production deployments. It provisions the EC2 Auto Scaling group with a minimum of 2 and a maximum of 10 compute optimized `c6g.xlarge` instances. | +Contact [support][100001] if you are interested in installing the Worker for CloudFormation. - **Note**: All other parameters are set to reasonable defaults for a Worker deployment, but you can adjust them for your use case as needed in the AWS Console before creating the stack. -1. Select the AWS region you want to use to install the Worker. -1. Click **Select API key** to choose the Datadog API key you want to use. -1. Click **Launch CloudFormation Template** to navigate to the AWS Console to review the stack configuration and then launch it. Make sure the CloudFormation parameters are as expected. -1. Select the VPC and subnet you want to use to install the Worker. -1. Review and check the necessary permissions checkboxes for IAM. Click **Submit** to create the stack. CloudFormation handles the installation at this point; the Worker instances are launched, the necessary software is downloaded, and the Worker starts automatically. -1. Navigate back to the Observability Pipelines installation page and click **Deploy**. +[100001]: /help/ \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/install_worker/cloudformation_instructions.md b/layouts/shortcodes/observability_pipelines/install_worker/cloudformation_instructions.md new file mode 100644 index 0000000000000..7d26891718b2a --- /dev/null +++ b/layouts/shortcodes/observability_pipelines/install_worker/cloudformation_instructions.md @@ -0,0 +1,15 @@ +1. Select one of the options in the dropdown to provide the expected log volume for the pipeline: +| Option | Description | +| ---------- | ----------- | +| Unsure | Use this option if you are not able to project the log volume or you want to test the Worker. This option provisions the EC2 Auto Scaling group with a maximum of 2 general purpose `t4g.large` instances. | +| 1-5 TB/day | This option provisions the EC2 Auto Scaling group with a maximum of 2 compute optimized instances `c6g.large`. | +| 5-10 TB/day | This option provisions the EC2 Auto Scaling group with a minimum of 2 and a maximum of 5 compute optimized `c6g.large` instances. | +| >10 TB/day | Datadog recommends this option for large-scale production deployments. It provisions the EC2 Auto Scaling group with a minimum of 2 and a maximum of 10 compute optimized `c6g.xlarge` instances. | + + **Note**: All other parameters are set to reasonable defaults for a Worker deployment, but you can adjust them for your use case as needed in the AWS Console before creating the stack. +1. Select the AWS region you want to use to install the Worker. +1. Click **Select API key** to choose the Datadog API key you want to use. +1. Click **Launch CloudFormation Template** to navigate to the AWS Console to review the stack configuration and then launch it. Make sure the CloudFormation parameters are as expected. +1. Select the VPC and subnet you want to use to install the Worker. +1. Review and check the necessary permissions checkboxes for IAM. Click **Submit** to create the stack. CloudFormation handles the installation at this point; the Worker instances are launched, the necessary software is downloaded, and the Worker starts automatically. +1. Navigate back to the Observability Pipelines installation page and click **Deploy**. From 55edc0bc42871c2c5d6b3dcc8272855857d3fffa Mon Sep 17 00:00:00 2001 From: May Lee Date: Wed, 10 Apr 2024 19:23:06 -0400 Subject: [PATCH 86/88] update config existing pipelines title and add links to that doc --- ...e_existing_pipelines.md => update_existing_pipelines.md} | 2 +- .../observability_pipelines/install_worker/amazon_eks.md | 5 ++++- .../observability_pipelines/install_worker/azure_aks.md | 5 ++++- .../install_worker/cloudformation.md | 4 ++-- .../install_worker/cloudformation_instructions.md | 4 ++++ .../observability_pipelines/install_worker/docker.md | 4 ++++ .../observability_pipelines/install_worker/google_gke.md | 5 ++++- .../observability_pipelines/install_worker/linux_apt.md | 6 +++++- .../observability_pipelines/install_worker/linux_rpm.md | 6 +++++- 9 files changed, 33 insertions(+), 8 deletions(-) rename content/en/observability_pipelines/{configure_existing_pipelines.md => update_existing_pipelines.md} (98%) diff --git a/content/en/observability_pipelines/configure_existing_pipelines.md b/content/en/observability_pipelines/update_existing_pipelines.md similarity index 98% rename from content/en/observability_pipelines/configure_existing_pipelines.md rename to content/en/observability_pipelines/update_existing_pipelines.md index 5fdb47827d4d5..b564e2268b845 100644 --- a/content/en/observability_pipelines/configure_existing_pipelines.md +++ b/content/en/observability_pipelines/update_existing_pipelines.md @@ -1,5 +1,5 @@ --- -title: Configure Existing Pipelines +title: Update Existing Pipelines kind: documentation disable_toc: false --- diff --git a/layouts/shortcodes/observability_pipelines/install_worker/amazon_eks.md b/layouts/shortcodes/observability_pipelines/install_worker/amazon_eks.md index 6d739318e06db..46ba1d59c8608 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/amazon_eks.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/amazon_eks.md @@ -25,4 +25,7 @@ ``` 1. Navigate back to the Observability Pipelines installation page and click **Deploy**. -[601]: /resources/yaml/observability_pipelines/v2/setup/aws_eks.yaml \ No newline at end of file +See [Update Existing Pipelines][602] if you want to make changes to your pipeline's configuration. + +[601]: /resources/yaml/observability_pipelines/v2/setup/aws_eks.yaml +[602]: /observability_pipelines/update_existing_pipelines \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/install_worker/azure_aks.md b/layouts/shortcodes/observability_pipelines/install_worker/azure_aks.md index dcb4998252d37..7838321c9baf2 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/azure_aks.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/azure_aks.md @@ -25,4 +25,7 @@ ``` 1. Navigate back to the Observability Pipelines installation page and click **Deploy**. -[701]: /resources/yaml/observability_pipelines/v2/setup/azure_aks.yaml \ No newline at end of file +See [Update Existing Pipelines][702] if you want to make changes to your pipeline's configuration. + +[701]: /resources/yaml/observability_pipelines/v2/setup/azure_aks.yaml +[702]: /observability_pipelines/update_existing_pipelines \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/install_worker/cloudformation.md b/layouts/shortcodes/observability_pipelines/install_worker/cloudformation.md index 63a0c269b63d9..ba7d910e0f1d8 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/cloudformation.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/cloudformation.md @@ -1,3 +1,3 @@ -Contact [support][100001] if you are interested in installing the Worker for CloudFormation. +Contact [support][7001] if you are interested in installing the Worker for CloudFormation. -[100001]: /help/ \ No newline at end of file +[7001]: /help/ \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/install_worker/cloudformation_instructions.md b/layouts/shortcodes/observability_pipelines/install_worker/cloudformation_instructions.md index 7d26891718b2a..f0bdf8753d9bd 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/cloudformation_instructions.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/cloudformation_instructions.md @@ -13,3 +13,7 @@ 1. Select the VPC and subnet you want to use to install the Worker. 1. Review and check the necessary permissions checkboxes for IAM. Click **Submit** to create the stack. CloudFormation handles the installation at this point; the Worker instances are launched, the necessary software is downloaded, and the Worker starts automatically. 1. Navigate back to the Observability Pipelines installation page and click **Deploy**. + +See [Update Existing Pipelines][7001] if you want to make changes to your pipeline's configuration. + +[7001]: /observability_pipelines/update_existing_pipelines \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/install_worker/docker.md b/layouts/shortcodes/observability_pipelines/install_worker/docker.md index e786b01799339..a0fb1666eb66b 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/docker.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/docker.md @@ -14,3 +14,7 @@ -p 8282:8088 datadog/observability-pipelines-worker run ``` 1. Navigate back to the Observability Pipelines installation page and click **Deploy**. + +See [Update Existing Pipelines][8001] if you want to make changes to your pipeline's configuration. + +[8001]: /observability_pipelines/update_existing_pipelines \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/install_worker/google_gke.md b/layouts/shortcodes/observability_pipelines/install_worker/google_gke.md index 36fc55ee97f57..d610a41d1b3e7 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/google_gke.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/google_gke.md @@ -25,4 +25,7 @@ ``` 1. Navigate back to the Observability Pipelines installation page and click **Deploy**. -[801]: /resources/yaml/observability_pipelines/v2/setup/google_gke.yaml \ No newline at end of file +See [Update Existing Pipelines][802] if you want to make changes to your pipeline's configuration. + +[801]: /resources/yaml/observability_pipelines/v2/setup/google_gke.yaml +[802]: /observability_pipelines/update_existing_pipelines \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/install_worker/linux_apt.md b/layouts/shortcodes/observability_pipelines/install_worker/linux_apt.md index 1ee1a23d6b1ef..cff60e94aaf84 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/linux_apt.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/linux_apt.md @@ -37,4 +37,8 @@ If you prefer not to use the one-line installation script, follow these step-by- 1. Start the worker: ``` sudo systemctl restart observability-pipelines-worker - ``` \ No newline at end of file + ``` + +See [Update Existing Pipelines][9001] if you want to make changes to your pipeline's configuration. + +[9001]: /observability_pipelines/update_existing_pipelines \ No newline at end of file diff --git a/layouts/shortcodes/observability_pipelines/install_worker/linux_rpm.md b/layouts/shortcodes/observability_pipelines/install_worker/linux_rpm.md index 374ac162b62b0..4ccfa225d9551 100644 --- a/layouts/shortcodes/observability_pipelines/install_worker/linux_rpm.md +++ b/layouts/shortcodes/observability_pipelines/install_worker/linux_rpm.md @@ -37,4 +37,8 @@ If you prefer not to use the one-line installation script, follow these step-by- ```shell sudo systemctl restart observability-pipelines-worker ``` -1. Navigate back to the Observability Pipelines installation page and click **Deploy**. \ No newline at end of file +1. Navigate back to the Observability Pipelines installation page and click **Deploy**. + +See [Update Existing Pipelines][9001] if you want to make changes to your pipeline's configuration. + +[9001]: /observability_pipelines/update_existing_pipelines \ No newline at end of file From 10792c1e66c00ae6626064b57de90ea687ed9403 Mon Sep 17 00:00:00 2001 From: May Lee Date: Wed, 10 Apr 2024 19:52:28 -0400 Subject: [PATCH 87/88] update nav and architecture nav, title, and filename --- config/_default/menus/menus.en.yaml | 12 ++++++------ ..._practice_for_scaling_observability_pipelines.md} | 4 ++-- 2 files changed, 8 insertions(+), 8 deletions(-) rename content/en/observability_pipelines/{architecture.md => best_practice_for_scaling_observability_pipelines.md} (98%) diff --git a/config/_default/menus/menus.en.yaml b/config/_default/menus/menus.en.yaml index 22a57d3395fc7..ebc65a31fc602 100644 --- a/config/_default/menus/menus.en.yaml +++ b/config/_default/menus/menus.en.yaml @@ -3472,15 +3472,15 @@ main: parent: observability_pipelines_sensitive_data_redaction identifier: observability_pipelines_sensitive_data_redaction_sumo_logic_hosted_collector weight: 5004 - - name: Configure Existing Pipelines - url: observability_pipelines/configure_existing_pipelines/ + - name: Update Existing Pipelines + url: observability_pipelines/update_existing_pipelines/ parent: observability_pipelines - identifier: observability_pipelines_configure_existing_pipelines + identifier: observability_pipelines_update_existing_pipelines weight: 6 - - name: Architecture - url: observability_pipelines/architecture/ + - name: Best Practices for Scaling Observability Pipelines + url: observability_pipelines/best_practice_for_scaling_observability_pipelines/ parent: observability_pipelines - identifier: observability_pipelines_architecture + identifier: observability_pipelines_best_practice_for_scaling_observability_pipelines weight: 7 - name: Log Management url: logs/ diff --git a/content/en/observability_pipelines/architecture.md b/content/en/observability_pipelines/best_practice_for_scaling_observability_pipelines.md similarity index 98% rename from content/en/observability_pipelines/architecture.md rename to content/en/observability_pipelines/best_practice_for_scaling_observability_pipelines.md index a36050336c660..49a6d8744b625 100644 --- a/content/en/observability_pipelines/architecture.md +++ b/content/en/observability_pipelines/best_practice_for_scaling_observability_pipelines.md @@ -1,11 +1,11 @@ --- -title: Best Practices for OPW Aggregator Architecture +title: Best Practices for Scaling Observability Pipelines kind: Documentation aliases: --- {{< site-region region="gov" >}} -
Observability Pipelines is not available on the US1-FED Datadog site.
+
Observability Pipelines is not available on the US1-FED Datadog site.
{{< /site-region >}}
From 7def59f798ed61747b35c320156d5c53f5748da8 Mon Sep 17 00:00:00 2001 From: May Lee Date: Wed, 10 Apr 2024 20:57:39 -0400 Subject: [PATCH 88/88] Update content/en/observability_pipelines/log_volume_control/_index.md --- .../log_volume_control/_index.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/content/en/observability_pipelines/log_volume_control/_index.md b/content/en/observability_pipelines/log_volume_control/_index.md index fc8fe6ded572d..aeb90410321b5 100644 --- a/content/en/observability_pipelines/log_volume_control/_index.md +++ b/content/en/observability_pipelines/log_volume_control/_index.md @@ -8,11 +8,11 @@ disable_toc: false As your infrastructure and applications grow, so does your log volume and the complexity of the data. A large volume of logs can introduce a lot of noise and make it difficult to analyze and troubleshoot logs. Use Observability Pipelines's processors to decide which logs are valuable and which ones are noisy and uninteresting, before sending your logs to their destinations. You can use the following processors in the Observability Pipeline Worker to manage your logs: -- Filter: Add a query to send only a subset of logs based on your conditions. -- Sample: Define a sampling rate to send only a subset of your logs. -- Quota: Enforce soft or hard daily limits on either the volume of log data or the number of log events. -- Dedupe: Drop duplicate copies of your logs, for example, due to retries because of network issues. -- Remap: Add, drop, or rename a field in your logs. +- **Filter**: Add a query to send only a subset of logs based on your conditions. +- **Sample**: Define a sampling rate to send only a subset of your logs. +- **Quota**: Enforce daily limits on either the volume of log data or the number of log events. +- **Dedupe**: Drop duplicate copies of your logs, for example, due to retries because of network issues. +- **Remap**: Add, drop, or rename a field in your logs. {{< img src="observability_pipelines/use_cases/log_volume_control.png" alt="The log sources, processors, and destinations available for the split logs use case" width="100%" >}}

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