From 41ba832c5ad8c3b450dc60ce7c012348afb4180e Mon Sep 17 00:00:00 2001 From: sandersn130 Date: Mon, 7 Oct 2024 16:16:30 +0100 Subject: [PATCH 01/50] Work in progress for GCP Guide --- content/en/getting_started/integrations/google_cloud.md | 0 content/en/serverless/aws_lambda/logs.md | 6 ++++-- 2 files changed, 4 insertions(+), 2 deletions(-) create mode 100644 content/en/getting_started/integrations/google_cloud.md diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md new file mode 100644 index 0000000000000..e69de29bb2d1d diff --git a/content/en/serverless/aws_lambda/logs.md b/content/en/serverless/aws_lambda/logs.md index cd919d9a157fd..881de0e05dc9f 100644 --- a/content/en/serverless/aws_lambda/logs.md +++ b/content/en/serverless/aws_lambda/logs.md @@ -1,5 +1,5 @@ --- -title: Log Collection for AWS Lambda +title: Log Collection for AWS Lambda$$$ --- ### Collect logs from non-Lambda resources @@ -9,7 +9,9 @@ Logs generated by managed resources besides AWS Lambda functions can be valuable - Queues & Streams: SQS, SNS, Kinesis - Data Stores: DynamoDB, S3, RDS -## Configuration +###### Configuration + +Testytesteroooooooo ### Enable log collection From 55fb9b4ca093245a4390c75a575d2abe65bdab01 Mon Sep 17 00:00:00 2001 From: sandersn130 Date: Mon, 7 Oct 2024 16:19:28 +0100 Subject: [PATCH 02/50] Take 2 of GCP Guide attempt.1 --- .../integrations/google_cloud.md | 209 ++++++++++++++++++ 1 file changed, 209 insertions(+) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index e69de29bb2d1d..76996ac030615 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -0,0 +1,209 @@ +--- +title: Getting Started with Google Cloud +--- + +## Overview +This guide provides an overview how to get started with the Google Cloud (GCP) integration with Datadog. +Integrating your Google Cloud projects with Datadog allows you to: + +- Monitor your GCE infrastructure directly within Datadog +- Search through GCP hosts using automatically imported GCE host tags & GCE labels +- View metrics from your GCP projects +- Manage and view logs from GCP in Datadog + +## Prerequisites +- Create a [Datadog account][1] +- Set up a [Service Account][2] in GCP +- Review these GCP [Prerequisites][3] + +## Setup + +You can integrate Datadog with [Google Cloud][4] using [service account impersonation][5] and project discovery. Service account impersonation enables Datadog to automatically discover and monitor new projects as they are created within the assigned scope, providing seamless monitoring as your Google Cloud environment grows. + +Service account impersonation and automatic project discovery require specific APIs to be enabled to monitor your projects. + +Before setting up the integration, enable the below APIs for **each of the projects** you want to monitor: + +[Cloud Monitoring API][7] +: Allows Datadog to query your Google Cloud Metric data. + +[Compute Engine API][8] +: Allows Datadog to discover Compute instance data. + +[Cloud Asset API][9] +: Allows Datadog to request Google Cloud resources and link them to relevant metric tags. + +[Cloud Resource Manager API][10] +: Allows Datadog to append metrics with the correct resources and tags. + +[IAM API][11] +: Required to allow Datadog to authenticate with Google Cloud. + +[Google Cloud Billing API][12] +: Enables accurate billing for API calls. + +
You can confirm if these APIs are enabled by heading to Enabled APIs & Services under each project on Google Cloud.
+ +After these APIs have been enabled, follow the step-by-step instructions described in the [**Google Cloud Platform guide**][6] to set up the Google Cloud integration. + + +### Metric collection + +The GCP integration is designed to collect [**all Google Cloud metrics**][17]. +While Datadog provides detailed documentation for most GCP services, newly released services may not yet have detailed documentation. Metrics for such services are still collected through the integration. + +{{% collapse-content title="Click here for a sample of the GCP services Datadog supports" level="h4" %}} +| Integration | Description | +|-------------------------------------|---------------------------------------------------------------------------------------| +| [App Engine][1] | PaaS (platform as a service) to build scalable applications | +| [Big Query][2] | Enterprise data warehouse | +| [Bigtable][3] | NoSQL Big Data database service | +| [Cloud SQL][4] | MySQL database service | +| [Cloud APIs][5] | Programmatic interfaces for all Google Cloud Platform services | +| [Cloud Armor][6] | Network security service to help protect against denial of service and web attacks | +| [Cloud Composer][7] | A fully managed workflow orchestration service | +| [Cloud Dataproc][8] | A cloud service for running Apache Spark and Apache Hadoop clusters | +| [Cloud Dataflow][9] | A fully-managed service for transforming and enriching data in stream and batch modes | +| [Cloud Filestore][10] | High-performance, fully managed file storage | +| [Cloud Firestore][11] | A flexible, scalable database for mobile, web, and server development | +| [Cloud Interconnect][12] | Hybrid connectivity | +| [Cloud IoT][13] | Secure device connection and management | +| [Cloud Load Balancing][14] | Distribute load-balanced compute resources | +| [Cloud Logging][15] | Real-time log management and analysis | +| [Cloud Memorystore for Redis][16] | A fully managed in-memory data store service | +| [Cloud Router][17] | Exchange routes between your VPC and on-premises networks by using BGP | +| [Cloud Run][18] | Managed compute platform that runs stateless containers through HTTP | +| [Cloud Security Command Center][19] | Security Command Center is a threat reporting service. | +| [Cloud Tasks][20] | Distributed task queues | +| [Cloud TPU][21] | Train and run machine learning models | +| [Compute Engine][22] | High performance virtual machines | +| [Container Engine][23] | Kubernetes, managed by google | +| [Datastore][24] | NoSQL database | +| [Firebase][25] | Mobile platform for application development | +| [Functions][26] | Serverless platform for building event-based microservices | +| [Kubernetes Engine][27] | Cluster manager and orchestration system | +| [Machine Learning][28] | Machine learning services | +| [Private Service Connect][29] | Access managed services with private VPC connections | +| [Pub/Sub][30] | Real-time messaging service | +| [Spanner][31] | Horizontally scalable, globally consistent, relational database service | +| [Storage][32] | Unified object storage | +| [Vertex AI][33] | Build, train and deploy custom machine learning (ML) models. | +| [VPN][34] | Managed network functionality | +{{% /collapse-content %}} + +Datadog crawls GCP metrics from your projects on a default **5 minute schedule**. +For more details on the crawler schedule, see [Cloud Metric Delay][18]. + + +You can find your GCP metrics in the Metrics Summary page in the Datadog platform. +To view your metrics, navigate to `Metrics > Summary` and search for `gcp`: + +{{NEED TO INSERT IMAGE}} + +### Filtering metric collection + +You can limit the GCE/GKE instances & Cloud Run Revisions that are pulled into Datadog by entering tags in the **Limit Metric Collection Filters** text boxes under the **General** tab. +Only resources that match one of the defined tags are imported into Datadog. + +You can use wildcards (`?` for single character, `*` for multi-character) to match many hosts, or `!` to exclude certain hosts. +This example includes all c1* sized instances, but excludes staging hosts: + +```text +datadog:monitored,env:production,!env:staging,instance-type:c1.* +``` + +See Google's documentation on [Creating and managing labels][19] for more details on adding labels to your GCP hosts. + +For more information on how to control your resource costs, see the [Google Cloud Integration Billing page][20]. + + +## Log collection + +Forward logs from your Google Cloud services to Datadog using [Google Cloud Dataflow][21] and the [Datadog template][22]. This method provides both compression and batching of events before they are forwarded to Datadog. +Follow [the instructions listed here][23] to set up Log Collection. + +
Note: The Dataflow API must be enabled to use Google Cloud Dataflow. See Enabling APIs in the Google Cloud documentation for more information.
+ +**Note**: The **Dataflow API** must be enabled to use Google Cloud Dataflow. See [Enabling APIs][24] in the Google Cloud documentation for more information. + +Alternatively, to collect logs from applications running in GCE or GKE, you can also use the [Datadog Agent][32]. + +## GCP integrations + +Our [Integrations page][26] provides a full listing of the available sub-integrations for GCP. +Many of these integrations are installed by default when Datadog recognizes data being ingested in from your GCP account. + +## Leveraging the Datadog Agent for greater visibility + +After the GCP integration is configured, Datadog automatically starts collecting GCP metrics. However, you can leverage the Datadog Agent to gather deeper insights into your infrastructure. + +The [Datadog Agent][25] provides the most granular, low-latency metrics from your infrastructure, delivering real-time insights into CPU, memory, disk usage, and more for your GCP hosts. +The Agent can be installed on any host, including GKE - [Google Kubernetes Engine, Agent][28]. + +The Agent also supports [a wide range of integrations][29], enabling you to extend visibility into specific services and databases running on your hosts. +For even deeper customization, you can implement [custom Agent checks][30] which can be tailored to your unique monitoring needs. +[Traces collected through the Trace Agent][31] enable comprehensive Application Performance Monitoring (APM), helping you understand end-to-end service performance. + +For a full list of the benefits of installing the Agent on your cloud instances, see [Why should I install the Datadog Agent on my Cloud Instances?][27] + + + +## Explore related products + +### Google Cloud Run + +To begin monitoring serverless functions running on Google Cloud Platform, enable the Google Cloud Platform integration. +The Google Cloud Run page provides a list of out-of-the-box metrics collected by the GCP integration, along with instructions for Log Collection through Dataflow. + +Datadog also provides a solution, currently in public beta, for instrumenting your Cloud Run applications with a purpose-built Agent to enable tracing, custom metrics, and direct log collection. + +### Security + +### Cloud SIEM + +Review the Getting Started with Cloud SIEM guide to learn how to evaluate your logs using out-of-the-box Log Detection Rules. These rules are customizable, and generate security signals when threats are detected. These security signals can be accessed on the Security Signals Explorer. +To ensure that the correct team is notified, use Notification Rules to configure notification preferences across multiple detection rules. +Additionally, to view security findings from Google Cloud Security Command Center in Cloud SIEM, toggle the Enable collection of security findings option under the Security Findings tab & follow the setup instructions on the Google Cloud Security Command Center guide. + +### Cloud Security Management (CSM) + +Use the Setting up Cloud Security Management guide to learn about detecting and assessing misconfigurations in your cloud environment. Resource configuration data is evaluated against the out-of-the-box Cloud and Infrastructure compliance rules to flag attacker techniques and potential misconfigurations, allowing for fast response and remediation. +Toggle the Enable Resource Collection option under the Resource Collection tab to begin collecting configuration information for use in the Resource Catalog and in CSM. + +### Database Monitoring (DBM) +Use Database Monitoring (DBM) to gain increased insight on performance metrics, host health and query samples for your Google Cloud SQL databases. + +{{< partial name="whats-next/whats-next.html" >}} + +[1]: https://www.datadoghq.com/ +[2]: https://cloud.google.com/iam/docs/service-accounts-create +[3]: https://docs.datadoghq.com/integrations/google_cloud_platform/?tab=project#prerequisites +[4]: https://cloud.google.com/gcp?utm_source=google&utm_medium=cpc&utm_campaign=emea-ie-all-en-bkws-all-all-trial-b-gcp-1707574&utm_content=text-ad-none-any-DEV_c-CRE_669760174288-ADGP_Hybrid+%7C+BKWS+-+BRO+%7C+Txt+-+GCP+-+General+-+v3-KWID_43700077708210645-kwd-14471151-userloc_1007850&utm_term=KW_gcp-NET_g-PLAC_&&gad_source=1&gclid=Cj0KCQjwjY64BhCaARIsAIfc7YbR2kdAZ5vGSkq1FDDHkHRnzAX7KcFTlFxIfOUnS86LyRc9Y1TerXEaAmOMEALw_wcB&gclsrc=aw.ds&hl=en +[5]: https://cloud.google.com/iam/docs/service-account-overview#impersonation +[6]: https://docs.datadoghq.com/integrations/google_cloud_platform/?tab=project#setup +[7]: https://console.cloud.google.com/apis/library/monitoring.googleapis.com +[8]: https://console.cloud.google.com/apis/library/compute.googleapis.com +[9]: https://console.cloud.google.com/apis/library/cloudasset.googleapis.com +[10]: https://console.cloud.google.com/apis/library/cloudresourcemanager.googleapis.com +[11]: https://console.cloud.google.com/apis/library/iam.googleapis.com +[12]: https://console.cloud.google.com/apis/library/cloudbilling.googleapis.com +[13]: https://cloud.google.com/iam/docs/understanding-roles#browser +[14]: https://cloud.google.com/iam/docs/understanding-roles#monitoring.viewer +[15]: https://cloud.google.com/iam/docs/understanding-roles#compute.viewer +[16]: https://cloud.google.com/iam/docs/understanding-roles#cloudasset.viewer +[17]: https://cloud.google.com/monitoring/api/metrics_gcp +[18]: https://docs.datadoghq.com/integrations/guide/cloud-metric-delay/ +[19]: https://cloud.google.com/compute/docs/labeling-resources +[20]: https://docs.datadoghq.com/account_management/billing/google_cloud/ +[21]: https://cloud.google.com/dataflow +[22]: https://cloud.google.com/dataflow/docs/guides/templates/provided/pubsub-to-datadog +[23]: https://cloud.google.com/dataflow/docs/guides/templates/provided/pubsub-to-datadog +[24]: https://cloud.google.com/apis/docs/getting-started#enabling_apis +[25]: https://docs.datadoghq.com/agent/ +[26]: https://docs.datadoghq.com/integrations/?q=google#all +[27]: https://docs.datadoghq.com/agent/guide/why-should-i-install-the-agent-on-my-cloud-instances/ +[28]: https://docs.datadoghq.com/integrations/gke/?tab=standard +[29]: https://docs.datadoghq.com/integrations/ +[30]: https://docs.datadoghq.com/developers/custom_checks/ +[31]: https://docs.datadoghq.com/tracing/ +[32]: https://docs.datadoghq.com/agent/logs/?tab=tailfiles \ No newline at end of file From 355ae0065ad5432f4900314afad5df6f7922fbda Mon Sep 17 00:00:00 2001 From: sandersn130 Date: Thu, 10 Oct 2024 10:52:09 +0100 Subject: [PATCH 03/50] Images & Nav for GCP file --- config/_default/menus/main.en.yaml | 9 +- .../integrations/google_cloud.md | 130 +++++++++++++----- .../gcp_metric_summary.png | Bin 0 -> 491860 bytes .../gcp_resource_collection.png | Bin 0 -> 197297 bytes .../security_findings.png | Bin 0 -> 74595 bytes 5 files changed, 105 insertions(+), 34 deletions(-) create mode 100644 static/images/integrations/google_cloud_platform/gcp_metric_summary.png create mode 100644 static/images/integrations/google_cloud_platform/gcp_resource_collection.png create mode 100644 static/images/integrations/google_cloud_platform/security_findings.png diff --git a/config/_default/menus/main.en.yaml b/config/_default/menus/main.en.yaml index c1bfd9dc73b68..850ff45a4085f 100644 --- a/config/_default/menus/main.en.yaml +++ b/config/_default/menus/main.en.yaml @@ -74,15 +74,20 @@ menu: url: getting_started/integrations/aws/ weight: 601 parent: getting_started_integrations + - name: Google Cloud + identifier: getting_started_with_google_cloud + url: getting_started/integrations/google_cloud/ + weight: 602 + parent: getting_started_integrations - name: Terraform identifier: getting_started_with_terraform url: getting_started/integrations/terraform/ - weight: 602 + weight: 603 parent: getting_started_integrations - name: Azure identifier: getting_started_with_azure url: getting_started/integrations/azure/ - weight: 603 + weight: 604 parent: getting_started_integrations - name: Containers identifier: getting_started_containers diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index 76996ac030615..a703a46bfab2e 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -3,7 +3,7 @@ title: Getting Started with Google Cloud --- ## Overview -This guide provides an overview how to get started with the Google Cloud (GCP) integration with Datadog. +This guide provides an overview of how to get started with the Google Cloud (GCP) integration with Datadog. Integrating your Google Cloud projects with Datadog allows you to: - Monitor your GCE infrastructure directly within Datadog @@ -11,17 +11,17 @@ Integrating your Google Cloud projects with Datadog allows you to: - View metrics from your GCP projects - Manage and view logs from GCP in Datadog -## Prerequisites -- Create a [Datadog account][1] -- Set up a [Service Account][2] in GCP -- Review these GCP [Prerequisites][3] - -## Setup +See [Explore related products][48] at the end of this guide to discover more ways to monitor your GCP infrastructure. -You can integrate Datadog with [Google Cloud][4] using [service account impersonation][5] and project discovery. Service account impersonation enables Datadog to automatically discover and monitor new projects as they are created within the assigned scope, providing seamless monitoring as your Google Cloud environment grows. +## Prerequisites +1) Create a [Datadog account][1] +2) Set up a [Service Account][2] in GCP +3) Review these GCP [Prerequisites][3]: -Service account impersonation and automatic project discovery require specific APIs to be enabled to monitor your projects. +- If your organization restricts identities by domain, you must add Datadog's customer identity `C0147pk0i` as an allowed value in your policy. +- Ensure that any projects being monitored are **not** configured as [**scoping projects**][42] that pull in metrics from multiple other projects. +- The GCP integration requires specific APIs to be enabled to monitor your projects. Before setting up the integration, enable the below APIs for **each of the projects** you want to monitor: [Cloud Monitoring API][7] @@ -37,22 +37,27 @@ Before setting up the integration, enable the below APIs for **each of the proje : Allows Datadog to append metrics with the correct resources and tags. [IAM API][11] -: Required to allow Datadog to authenticate with Google Cloud. +: Allows Datadog to authenticate with Google Cloud. [Google Cloud Billing API][12] : Enables accurate billing for API calls. -
You can confirm if these APIs are enabled by heading to Enabled APIs & Services under each project on Google Cloud.
+
You can confirm if these APIs are enabled by heading to Enabled APIs & Services under each project in your Google Cloud workspace.
-After these APIs have been enabled, follow the step-by-step instructions described in the [**Google Cloud Platform guide**][6] to set up the Google Cloud integration. + +## Setup + +You can integrate Datadog with [Google Cloud][4] using [service account impersonation][5] and project discovery. Service account impersonation enables Datadog to automatically discover and monitor new projects as they are created within the assigned scope, providing seamless monitoring as your Google Cloud environment grows. + +After reviewing the above [Prerequisites][52], follow the step-by-step instructions described in the [**Google Cloud Platform guide**][6] to set up the Google Cloud integration. ### Metric collection The GCP integration is designed to collect [**all Google Cloud metrics**][17]. -While Datadog provides detailed documentation for most GCP services, newly released services may not yet have detailed documentation. Metrics for such services are still collected through the integration. +While Datadog provides detailed documentation for most GCP services, newly released services may not yet have detailed documentation. Metrics for new services are still collected through the integration. -{{% collapse-content title="Click here for a sample of the GCP services Datadog supports" level="h4" %}} +{{% collapse-content title="Click here for a sample of the GCP services Datadog supports" level="h5" %}} | Integration | Description | |-------------------------------------|---------------------------------------------------------------------------------------| | [App Engine][1] | PaaS (platform as a service) to build scalable applications | @@ -98,7 +103,7 @@ For more details on the crawler schedule, see [Cloud Metric Delay][18]. You can find your GCP metrics in the Metrics Summary page in the Datadog platform. To view your metrics, navigate to `Metrics > Summary` and search for `gcp`: -{{NEED TO INSERT IMAGE}} +{{< img src="integrations/google_cloud_platform/gcp_metric_summary.png" style="width:100%;" >}} ### Filtering metric collection @@ -120,11 +125,10 @@ For more information on how to control your resource costs, see the [Google Clou ## Log collection Forward logs from your Google Cloud services to Datadog using [Google Cloud Dataflow][21] and the [Datadog template][22]. This method provides both compression and batching of events before they are forwarded to Datadog. -Follow [the instructions listed here][23] to set up Log Collection. -
Note: The Dataflow API must be enabled to use Google Cloud Dataflow. See Enabling APIs in the Google Cloud documentation for more information.
+Follow [the instructions listed here][33] to set up Log Collection. -**Note**: The **Dataflow API** must be enabled to use Google Cloud Dataflow. See [Enabling APIs][24] in the Google Cloud documentation for more information. +
Note: The Dataflow API must be enabled to use Google Cloud Dataflow. See Enabling APIs in the Google Cloud documentation for more information.
Alternatively, to collect logs from applications running in GCE or GKE, you can also use the [Datadog Agent][32]. @@ -137,41 +141,83 @@ Many of these integrations are installed by default when Datadog recognizes data After the GCP integration is configured, Datadog automatically starts collecting GCP metrics. However, you can leverage the Datadog Agent to gather deeper insights into your infrastructure. -The [Datadog Agent][25] provides the most granular, low-latency metrics from your infrastructure, delivering real-time insights into CPU, memory, disk usage, and more for your GCP hosts. +The [Datadog Agent][25] provides the [most granular, low-latency metrics from your infrastructure][47], delivering real-time insights into CPU, memory, disk usage, and more for your GCP hosts. The Agent can be installed on any host, including GKE - [Google Kubernetes Engine, Agent][28]. The Agent also supports [a wide range of integrations][29], enabling you to extend visibility into specific services and databases running on your hosts. -For even deeper customization, you can implement [custom Agent checks][30] which can be tailored to your unique monitoring needs. + [Traces collected through the Trace Agent][31] enable comprehensive Application Performance Monitoring (APM), helping you understand end-to-end service performance. -For a full list of the benefits of installing the Agent on your cloud instances, see [Why should I install the Datadog Agent on my Cloud Instances?][27] +For a full list of benefits with installing the Agent on your cloud instances, see [Why should I install the Datadog Agent on my cloud instances?][27] ## Explore related products +### Private Service Connect +**(Only available in US5 & US1)** + +[Private Service Connect (PSC)][45] is a Google Cloud networking product that enables you to access [Google Cloud services][43], [third-party partner services][44], and company-owned applications directly from your Virtual Private Cloud (VPC). + +Get started with the [Google Cloud Private Service Connect guide.][46] + ### Google Cloud Run -To begin monitoring serverless functions running on Google Cloud Platform, enable the Google Cloud Platform integration. -The Google Cloud Run page provides a list of out-of-the-box metrics collected by the GCP integration, along with instructions for Log Collection through Dataflow. +To begin monitoring serverless functions running on Google Cloud Platform, enable the [Google Cloud Platform][6] integration. + +The [Google Cloud Run][34] page provides a list of out-of-the-box metrics collected by the GCP integration, along with instructions for [Log Collection through Dataflow][35]. + +--- +**DO WE WANT TO REMOVE THIS?** Datadog also provides a solution, currently in public beta, for instrumenting your Cloud Run applications with a purpose-built Agent to enable tracing, custom metrics, and direct log collection. +--- + + +### Cloud Cost Management (CCM) + +[Cloud Cost Management][50] provides insights for engineering and finance teams to understand how infrastructure changes impact costs, allocate spend across your organization, and identify potential improvements. + +To use Google Cloud Cost Management in Datadog, [follow these steps][51]. + ### Security -### Cloud SIEM +{{< tabs >}} +{{% tab "Cloud SIEM" %}} + +With Cloud SIEM, you can analyze operational and security logs in real time, while utilizing out-of-the-box integrations and rules to detect threats and investigate them. +To set this feature up, see [Getting Started with Cloud SIEM][36]. + +To view security findings from [Google Cloud Security Command Center][37] in Cloud SIEM, toggle the **Enable collection of security findings** option under the **Security Findings** tab & follow the setup instructions on the [Google Cloud Security Command Center guide][38]. + +{{< img src="integrations/google_cloud_platform/security_findings.png" style="width:100%;" >}} + +[36]: https://docs.datadoghq.com/getting_started/cloud_siem/ +[37]: https://console.cloud.google.com/projectselector2/security/command-center/overview?supportedpurview=organizationId,folder,project +[38]: https://docs.datadoghq.com/integrations/google_cloud_security_command_center/#installation + +{{% /tab %}} +{{% tab "Cloud Security Management" %}} + + +Datadog Cloud Security Management (CSM) delivers real-time threat detection and continuous configuration audits across your entire cloud infrastructure. + +Check out the [Setting up Cloud Security Management guide][39] to get started. + +After setting up CSM, toggle the **Enable Resource Collection** option under the **Resource Collection** tab to start collecting configuration data for the [Resource Catalog][41] and CSM. Then, follow these instructions to enable [Misconfigurations and Identity Risks (CIEM)][40] on GCP. -Review the Getting Started with Cloud SIEM guide to learn how to evaluate your logs using out-of-the-box Log Detection Rules. These rules are customizable, and generate security signals when threats are detected. These security signals can be accessed on the Security Signals Explorer. -To ensure that the correct team is notified, use Notification Rules to configure notification preferences across multiple detection rules. -Additionally, to view security findings from Google Cloud Security Command Center in Cloud SIEM, toggle the Enable collection of security findings option under the Security Findings tab & follow the setup instructions on the Google Cloud Security Command Center guide. +{{< img src="integrations/google_cloud_platform/gcp_resource_collection.png" style="width:100%;" >}} -### Cloud Security Management (CSM) +[39]: https://docs.datadoghq.com/security/cloud_security_management/setup/ +[40]: https://docs.datadoghq.com/security/cloud_security_management/setup/cloud_integrations/?tab=googlecloud +[41]: https://docs.datadoghq.com/infrastructure/resource_catalog/ -Use the Setting up Cloud Security Management guide to learn about detecting and assessing misconfigurations in your cloud environment. Resource configuration data is evaluated against the out-of-the-box Cloud and Infrastructure compliance rules to flag attacker techniques and potential misconfigurations, allowing for fast response and remediation. -Toggle the Enable Resource Collection option under the Resource Collection tab to begin collecting configuration information for use in the Resource Catalog and in CSM. +{{% /tab %}} +{{< /tabs >}} ### Database Monitoring (DBM) -Use Database Monitoring (DBM) to gain increased insight on performance metrics, host health and query samples for your Google Cloud SQL databases. +Use [Database Monitoring (DBM)][49] to gain increased insight on performance metrics, host health and query samples for your Google Cloud SQL databases. {{< partial name="whats-next/whats-next.html" >}} @@ -206,4 +252,24 @@ Use Database Monitoring (DBM) to gain increased insight on performance metrics, [29]: https://docs.datadoghq.com/integrations/ [30]: https://docs.datadoghq.com/developers/custom_checks/ [31]: https://docs.datadoghq.com/tracing/ -[32]: https://docs.datadoghq.com/agent/logs/?tab=tailfiles \ No newline at end of file +[32]: https://docs.datadoghq.com/agent/logs/?tab=tailfiles +[33]: https://docs.datadoghq.com/integrations/google_cloud_platform/?tab=dataflowmethodrecommended#log-collection +[34]: https://docs.datadoghq.com/integrations/google_cloud_run/ +[35]: https://docs.datadoghq.com/integrations/google_cloud_run/#log-collection +[36]: https://docs.datadoghq.com/getting_started/cloud_siem/ +[37]: https://console.cloud.google.com/projectselector2/security/command-center/overview?supportedpurview=organizationId,folder,project +[38]: https://docs.datadoghq.com/integrations/google_cloud_security_command_center/#installation +[39]: https://docs.datadoghq.com/security/cloud_security_management/setup/ +[40]: https://docs.datadoghq.com/security/cloud_security_management/setup/cloud_integrations/?tab=googlecloud +[41]: https://docs.datadoghq.com/infrastructure/resource_catalog/ +[42]: https://cloud.google.com/monitoring/settings#:~:text=A%20scoping%20project%20hosts%20a,is%20also%20a%20scoping%20project. +[43]: https://cloud.google.com/vpc/docs/private-service-connect-compatibility#google-services +[44]: https://cloud.google.com/vpc/docs/private-service-connect-compatibility#third-party-services +[45]: https://cloud.google.com/vpc/docs/private-service-connect +[46]: https://docs.datadoghq.com/integrations/google_cloud_private_service_connect/ +[47]: https://docs.datadoghq.com/developers/guide/data-collection-resolution-retention/#pagetitle:~:text=n/a-,Infrastructure,-Agent%20integrations +[48]: http://localhost:1313/getting_started/integrations/google_cloud/#explore-related-products +[49]: https://docs.datadoghq.com/database_monitoring/ +[50]: https://docs.datadoghq.com/cloud_cost_management/ +[51]: https://docs.datadoghq.com/cloud_cost_management/google_cloud/ +[52]: 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zpoDr25O6|~T{al^$>+UKshYZvoxy<`t-tgSwAlA}?>b(H25c42N#{*J$36@VWVGmG zV6y|y1OTEp{!!l_wcetn+ZI~EF5&);ga4{;{x3p4OL0iE=eOs+vOqeVtuFt1Zd;$p z)cu{6r2n^sKcdqB=sk$-oy43!A?Y7%x)lb%KhpHO&z*m%>AaBb7O=>P3))lk|JyAo zTZ93w1 Date: Mon, 14 Oct 2024 15:15:36 +0100 Subject: [PATCH 04/50] added changes to installation --- .../integrations/google_cloud.md | 148 +++++++++++++----- 1 file changed, 106 insertions(+), 42 deletions(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index a703a46bfab2e..dfd9bbcf05069 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -3,26 +3,19 @@ title: Getting Started with Google Cloud --- ## Overview -This guide provides an overview of how to get started with the Google Cloud (GCP) integration with Datadog. -Integrating your Google Cloud projects with Datadog allows you to: +This guide provides an overview of how to get started with the Google Cloud integration with Datadog. -- Monitor your GCE infrastructure directly within Datadog -- Search through GCP hosts using automatically imported GCE host tags & GCE labels -- View metrics from your GCP projects -- Manage and view logs from GCP in Datadog - -See [Explore related products][48] at the end of this guide to discover more ways to monitor your GCP infrastructure. +Integrating your Google Cloud projects with Datadog allows you to monitor real-time metrics & logs from your GCE and GKE compute instances. ## Prerequisites 1) Create a [Datadog account][1] -2) Set up a [Service Account][2] in GCP -3) Review these GCP [Prerequisites][3]: +2) Set up a [Service Account][2] in Google Cloud +3) Review these Google Cloud [Prerequisites][3]: - If your organization restricts identities by domain, you must add Datadog's customer identity `C0147pk0i` as an allowed value in your policy. -- Ensure that any projects being monitored are **not** configured as [**scoping projects**][42] that pull in metrics from multiple other projects. +- Ensure that any projects being monitored are **not** configured as [scoping projects][42] that pull in metrics from multiple other projects. -- The GCP integration requires specific APIs to be enabled to monitor your projects. -Before setting up the integration, enable the below APIs for **each of the projects** you want to monitor: +- The Google Cloud integration requires the below APIs to be enabled **for each of the projects** you want to monitor: [Cloud Monitoring API][7] : Allows Datadog to query your Google Cloud Metric data. @@ -42,22 +35,102 @@ Before setting up the integration, enable the below APIs for **each of the proje [Google Cloud Billing API][12] : Enables accurate billing for API calls. -

    + ## Setup You can integrate Datadog with [Google Cloud][4] using [service account impersonation][5] and project discovery. Service account impersonation enables Datadog to automatically discover and monitor new projects as they are created within the assigned scope, providing seamless monitoring as your Google Cloud environment grows. -After reviewing the above [Prerequisites][52], follow the step-by-step instructions described in the [**Google Cloud Platform guide**][6] to set up the Google Cloud integration. +After reviewing the above [Prerequisites][52], follow these step-by-step instructions to set up the Google Cloud integration: + +{{% collapse-content title=" 1. Create your Google Cloud service account" level="h5" %}} +1. Open your [Google Cloud console][53]. + +2. Navigate to **IAM & Admin** > **Service Accounts**. + +3. Click on Create service account at the top. + +4. Give the service account a unique name, then click **Create and continue**. + +5. Add the following roles to the service account: +- Monitoring Viewer + +- Compute Viewer + +- Cloud Asset Viewer + +- Browser + +6. Click **Continue**, then **Done** to complete creating the service account. + +{{< img src="integrations/google_cloud_platform/create-service-account.png" alt="Google Cloud console interface, showing the 'Create service account' flow. Under 'Grant this service account access to project', the four roles in the instructions are added." style="width:70%;">}} +{{% /collapse-content %}} + +{{% collapse-content title="2. Add the Datadog principal to your service account" level="h5" %}} +1. In Datadog, navigate to the [**Integrations** > **Google Cloud Platform**][54]. + +2. Click on **Add Google Cloud Account**. +If you have no configured projects, you are automatically redirected to this page. + +3. If you have not generated a Datadog principal for your org, click the **Generate Principal** button. + +4. Copy your Datadog principal and keep it for the next section. + +{{< img src="integrations/google_cloud_platform/principal-2.png" alt="Datadog interface, showing the 'Add New GCP Account' flow. The first step, 'Add Datadog Principal to Google,' features a text box where a user can generate a Datadog Principal and copy it to their clipboard. The second step, 'Add Service Account Email,' features a text box that the user can complete in section 3." style="width:70%;">}} + +Keep this window open for Section 3. + +5. In the [Google Cloud console][55], under the **Service Accounts** menu, find the service account you created in Section 1. + +6. Go to the **Permissions** tab and click on **Grant Access**. + {{< img src="integrations/google_cloud_platform/grant-access.png" alt="Google Cloud console interface, showing the Permissions tab under Service Accounts." style="width:70%;">}} -### Metric collection +7. Paste your Datadog principal into the **New principals** text box. -The GCP integration is designed to collect [**all Google Cloud metrics**][17]. -While Datadog provides detailed documentation for most GCP services, newly released services may not yet have detailed documentation. Metrics for new services are still collected through the integration. +8. Assign the role of **Service Account Token Creator** and click **Save**. + {{< img src="integrations/google_cloud_platform/add-principals-blurred.png" alt="Google Cloud console interface, showing an 'Add principals' box and an 'Assign roles' interface." style="width:70%;">}} -{{% collapse-content title="Click here for a sample of the GCP services Datadog supports" level="h5" %}} +**Note**: If you previously configured access using a shared Datadog principal, you can revoke the permission for that principal after you complete these steps. +{{% /collapse-content %}} + +{{% collapse-content title="3. Complete the integration setup in Datadog" level="h5" %}} +1. In your Google Cloud console, navigate to the **Service Account** > **Details** tab. There, you can find the email associated with this Google service account. It resembles `@.iam.gserviceaccount.com`. + +2. Copy this email. + +3. Return to the integration configuration tile in Datadog (where you copied your Datadog principal in the previous section). + +4. In the box under **Add Service Account Email**, paste the email you previously copied. + +5. Click on **Verify and Save Account**. +{{% /collapse-content %}} + +After finishing these steps, metrics will appear in Datadog after approximately **15 minutes**. + +{{% collapse-content title="(Optional) Assign roles to other projects" level="h5" %}} +Automatic project discovery simplifies the process of adding additional projects to be monitored. If you grant your service account access to other projects, folders, or orgs, Datadog discovers these projects (and any projects nested in the folders or orgs) and automatically adds them to your integration tile. + +1. Make sure you have the appropriate permissions to assign roles at the desired scope: +- Project IAM Admin (or higher) +- Folder Admin +- Organization Admin +2. In the Google Cloud console, go to the **IAM** page. +3. Select a project, folder, or organization. +4. To grant a role to a principal that does not already have other roles on the resource, click **Grant Access**, then enter the email of the service account you created earlier. +5. Assign the following roles: +- Compute Viewer +- Monitoring Viewer +- Cloud Asset Viewer (**Note**: The Browser role is only required in the default project of the service account). +6. Click **Save**. +{{% /collapse-content %}} + +## Metric collection + +The Google Cloud integration collects [**all GA Google Cloud metrics**][17] from your projects through the Google Cloud Monitoring API. + +{{% collapse-content title="Click here for a sample of the Google Cloud metrics Datadog collects" level="h5" %}} | Integration | Description | |-------------------------------------|---------------------------------------------------------------------------------------| | [App Engine][1] | PaaS (platform as a service) to build scalable applications | @@ -96,11 +169,7 @@ While Datadog provides detailed documentation for most GCP services, newly relea | [VPN][34] | Managed network functionality | {{% /collapse-content %}} -Datadog crawls GCP metrics from your projects on a default **5 minute schedule**. -For more details on the crawler schedule, see [Cloud Metric Delay][18]. - - -You can find your GCP metrics in the Metrics Summary page in the Datadog platform. +You can find your Google Cloud metrics in the Metrics Summary page in the Datadog platform. To view your metrics, navigate to `Metrics > Summary` and search for `gcp`: {{< img src="integrations/google_cloud_platform/gcp_metric_summary.png" style="width:100%;" >}} @@ -117,7 +186,7 @@ This example includes all c1* sized instances, but excludes staging hosts: datadog:monitored,env:production,!env:staging,instance-type:c1.* ``` -See Google's documentation on [Creating and managing labels][19] for more details on adding labels to your GCP hosts. +See Google's documentation on [Creating and managing labels][19] for more details on adding labels to your Google Cloud hosts. For more information on how to control your resource costs, see the [Google Cloud Integration Billing page][20]. @@ -132,16 +201,16 @@ Follow [the instructions listed here][33] to set up Log Collection. Alternatively, to collect logs from applications running in GCE or GKE, you can also use the [Datadog Agent][32]. -## GCP integrations +## Google Cloud integrations -Our [Integrations page][26] provides a full listing of the available sub-integrations for GCP. -Many of these integrations are installed by default when Datadog recognizes data being ingested in from your GCP account. +Our [Integrations page][26] provides a full listing of the available sub-integrations for Google Cloud. +Many of these integrations are installed by default when Datadog recognizes data being ingested in from your Google Cloud account. ## Leveraging the Datadog Agent for greater visibility -After the GCP integration is configured, Datadog automatically starts collecting GCP metrics. However, you can leverage the Datadog Agent to gather deeper insights into your infrastructure. +After the Google Cloud integration is configured, Datadog automatically starts collecting Google Cloud metrics. However, you can leverage the Datadog Agent to gather deeper insights into your infrastructure. -The [Datadog Agent][25] provides the [most granular, low-latency metrics from your infrastructure][47], delivering real-time insights into CPU, memory, disk usage, and more for your GCP hosts. +The [Datadog Agent][25] provides the [most granular, low-latency metrics from your infrastructure][47], delivering real-time insights into CPU, memory, disk usage, and more for your Google Cloud hosts. The Agent can be installed on any host, including GKE - [Google Kubernetes Engine, Agent][28]. The Agent also supports [a wide range of integrations][29], enabling you to extend visibility into specific services and databases running on your hosts. @@ -152,7 +221,7 @@ For a full list of benefits with installing the Agent on your cloud instances, s -## Explore related products +## Explore related services ### Private Service Connect **(Only available in US5 & US1)** @@ -165,15 +234,7 @@ Get started with the [Google Cloud Private Service Connect guide.][46] To begin monitoring serverless functions running on Google Cloud Platform, enable the [Google Cloud Platform][6] integration. -The [Google Cloud Run][34] page provides a list of out-of-the-box metrics collected by the GCP integration, along with instructions for [Log Collection through Dataflow][35]. - ---- -**DO WE WANT TO REMOVE THIS?** - -Datadog also provides a solution, currently in public beta, for instrumenting your Cloud Run applications with a purpose-built Agent to enable tracing, custom metrics, and direct log collection. - ---- - +The [Google Cloud Run][34] page provides a list of out-of-the-box metrics collected by the Google Cloud integration, along with instructions for [Log Collection through Dataflow][35]. ### Cloud Cost Management (CCM) @@ -205,7 +266,7 @@ Datadog Cloud Security Management (CSM) delivers real-time threat detection and Check out the [Setting up Cloud Security Management guide][39] to get started. -After setting up CSM, toggle the **Enable Resource Collection** option under the **Resource Collection** tab to start collecting configuration data for the [Resource Catalog][41] and CSM. Then, follow these instructions to enable [Misconfigurations and Identity Risks (CIEM)][40] on GCP. +After setting up CSM, toggle the **Enable Resource Collection** option under the **Resource Collection** tab to start collecting configuration data for the [Resource Catalog][41] and CSM. Then, follow these instructions to enable [Misconfigurations and Identity Risks (CIEM)][40] on Google Cloud. {{< img src="integrations/google_cloud_platform/gcp_resource_collection.png" style="width:100%;" >}} @@ -272,4 +333,7 @@ Use [Database Monitoring (DBM)][49] to gain increased insight on performance met [49]: https://docs.datadoghq.com/database_monitoring/ [50]: https://docs.datadoghq.com/cloud_cost_management/ [51]: https://docs.datadoghq.com/cloud_cost_management/google_cloud/ -[52]: https://docs.datadoghq.com/getting_started/integrations/google_cloud/#prerequisites \ No newline at end of file +[52]: https://docs.datadoghq.com/getting_started/integrations/google_cloud/#prerequisites +[53]: https://console.cloud.google.com/ +[54]: https://app.datadoghq.com/integrations/google-cloud-platform +[55]: https://console.cloud.google.com/ \ No newline at end of file From 1c3d0d06649c72f47deec8b4e648e41fccb801b7 Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Tue, 15 Oct 2024 12:37:54 +0100 Subject: [PATCH 05/50] Update content/en/getting_started/integrations/google_cloud.md Co-authored-by: Ursula Chen <58821586+urseberry@users.noreply.github.com> --- content/en/getting_started/integrations/google_cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index dfd9bbcf05069..01ee42b4d6650 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -3,7 +3,7 @@ title: Getting Started with Google Cloud --- ## Overview -This guide provides an overview of how to get started with the Google Cloud integration with Datadog. +This guide provides an overview of how to get started with the Datadog Google Cloud integration. Integrating your Google Cloud projects with Datadog allows you to monitor real-time metrics & logs from your GCE and GKE compute instances. From de056a83fca6baf70845eed0e11cf26234526943 Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Tue, 15 Oct 2024 12:38:02 +0100 Subject: [PATCH 06/50] Update content/en/getting_started/integrations/google_cloud.md Co-authored-by: Ursula Chen <58821586+urseberry@users.noreply.github.com> --- content/en/getting_started/integrations/google_cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index 01ee42b4d6650..f04eebf514241 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -21,7 +21,7 @@ Integrating your Google Cloud projects with Datadog allows you to monitor real-t : Allows Datadog to query your Google Cloud Metric data. [Compute Engine API][8] -: Allows Datadog to discover Compute instance data. +: Allows Datadog to discover compute instance data. [Cloud Asset API][9] : Allows Datadog to request Google Cloud resources and link them to relevant metric tags. From 2cbb9c55cdea0fd675dec1b5bdcf3efd26205753 Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Tue, 15 Oct 2024 12:38:10 +0100 Subject: [PATCH 07/50] Update content/en/getting_started/integrations/google_cloud.md Co-authored-by: Ursula Chen <58821586+urseberry@users.noreply.github.com> --- content/en/getting_started/integrations/google_cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index f04eebf514241..eef84221892fd 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -18,7 +18,7 @@ Integrating your Google Cloud projects with Datadog allows you to monitor real-t - The Google Cloud integration requires the below APIs to be enabled **for each of the projects** you want to monitor: [Cloud Monitoring API][7] -: Allows Datadog to query your Google Cloud Metric data. +: Allows Datadog to query your Google Cloud metric data. [Compute Engine API][8] : Allows Datadog to discover compute instance data. From c8f7a022f55f41d6a06571ea1a00b23595671f1d Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Tue, 15 Oct 2024 12:38:27 +0100 Subject: [PATCH 08/50] Update content/en/getting_started/integrations/google_cloud.md Co-authored-by: Ursula Chen <58821586+urseberry@users.noreply.github.com> --- content/en/getting_started/integrations/google_cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index eef84221892fd..9b2ad25cd8cea 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -49,7 +49,7 @@ After reviewing the above [Prerequisites][52], follow these step-by-step instruc 2. Navigate to **IAM & Admin** > **Service Accounts**. -3. Click on Create service account at the top. +3. Click on **Create service account** at the top. 4. Give the service account a unique name, then click **Create and continue**. From 629114be7a4078eedf15439dfa87b516d5016ff4 Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Tue, 15 Oct 2024 12:38:39 +0100 Subject: [PATCH 09/50] Update content/en/getting_started/integrations/google_cloud.md Co-authored-by: Ursula Chen <58821586+urseberry@users.noreply.github.com> --- content/en/getting_started/integrations/google_cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index 9b2ad25cd8cea..99148cd584c53 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -211,7 +211,7 @@ Many of these integrations are installed by default when Datadog recognizes data After the Google Cloud integration is configured, Datadog automatically starts collecting Google Cloud metrics. However, you can leverage the Datadog Agent to gather deeper insights into your infrastructure. The [Datadog Agent][25] provides the [most granular, low-latency metrics from your infrastructure][47], delivering real-time insights into CPU, memory, disk usage, and more for your Google Cloud hosts. -The Agent can be installed on any host, including GKE - [Google Kubernetes Engine, Agent][28]. +The Agent can be installed on any host, including [GKE][28]. The Agent also supports [a wide range of integrations][29], enabling you to extend visibility into specific services and databases running on your hosts. From ee269454d312e9b54c164510327cbea593fbf511 Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Tue, 15 Oct 2024 12:43:05 +0100 Subject: [PATCH 10/50] Update content/en/getting_started/integrations/google_cloud.md Co-authored-by: Ursula Chen <58821586+urseberry@users.noreply.github.com> --- content/en/getting_started/integrations/google_cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index 99148cd584c53..e8ab2ba8cf21d 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -213,7 +213,7 @@ After the Google Cloud integration is configured, Datadog automatically starts c The [Datadog Agent][25] provides the [most granular, low-latency metrics from your infrastructure][47], delivering real-time insights into CPU, memory, disk usage, and more for your Google Cloud hosts. The Agent can be installed on any host, including [GKE][28]. -The Agent also supports [a wide range of integrations][29], enabling you to extend visibility into specific services and databases running on your hosts. +The Agent also supports a wide range of [integrations][29], enabling you to extend visibility into specific services and databases running on your hosts. [Traces collected through the Trace Agent][31] enable comprehensive Application Performance Monitoring (APM), helping you understand end-to-end service performance. From af6289a3dc7b846f27f574a7feae8aec91ef4b3e Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Tue, 15 Oct 2024 12:43:36 +0100 Subject: [PATCH 11/50] Update content/en/getting_started/integrations/google_cloud.md Co-authored-by: Ursula Chen <58821586+urseberry@users.noreply.github.com> --- content/en/getting_started/integrations/google_cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index e8ab2ba8cf21d..f8705f4ca326a 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -215,7 +215,7 @@ The Agent can be installed on any host, including [GKE][28]. The Agent also supports a wide range of [integrations][29], enabling you to extend visibility into specific services and databases running on your hosts. -[Traces collected through the Trace Agent][31] enable comprehensive Application Performance Monitoring (APM), helping you understand end-to-end service performance. +[Traces][31] collected through the Trace Agent enable comprehensive Application Performance Monitoring (APM), helping you understand end-to-end service performance. For a full list of benefits with installing the Agent on your cloud instances, see [Why should I install the Datadog Agent on my cloud instances?][27] From 77e034a1c8c3645d42447e5f21aecdeb5bc1f97a Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Tue, 15 Oct 2024 12:43:47 +0100 Subject: [PATCH 12/50] Update content/en/getting_started/integrations/google_cloud.md Co-authored-by: Ursula Chen <58821586+urseberry@users.noreply.github.com> --- content/en/getting_started/integrations/google_cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index f8705f4ca326a..d2ed71d7db745 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -217,7 +217,7 @@ The Agent also supports a wide range of [integrations][29], enabling you to exte [Traces][31] collected through the Trace Agent enable comprehensive Application Performance Monitoring (APM), helping you understand end-to-end service performance. -For a full list of benefits with installing the Agent on your cloud instances, see [Why should I install the Datadog Agent on my cloud instances?][27] +For the full list of benefits of installing the Agent on your cloud instances, see [Why should I install the Datadog Agent on my cloud instances?][27] From 933cdd24a626b09ffce3546623b3f69c04c5ebef Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Tue, 15 Oct 2024 15:40:26 +0100 Subject: [PATCH 13/50] Removing tabs --- .../en/getting_started/integrations/google_cloud.md | 12 +++--------- 1 file changed, 3 insertions(+), 9 deletions(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index d2ed71d7db745..16e2809d1bad6 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -244,8 +244,7 @@ To use Google Cloud Cost Management in Datadog, [follow these steps][51]. ### Security -{{< tabs >}} -{{% tab "Cloud SIEM" %}} +### Cloud SIEM With Cloud SIEM, you can analyze operational and security logs in real time, while utilizing out-of-the-box integrations and rules to detect threats and investigate them. To set this feature up, see [Getting Started with Cloud SIEM][36]. @@ -258,9 +257,7 @@ To view security findings from [Google Cloud Security Command Center][37] in Clo [37]: https://console.cloud.google.com/projectselector2/security/command-center/overview?supportedpurview=organizationId,folder,project [38]: https://docs.datadoghq.com/integrations/google_cloud_security_command_center/#installation -{{% /tab %}} -{{% tab "Cloud Security Management" %}} - +### Cloud Security Management Datadog Cloud Security Management (CSM) delivers real-time threat detection and continuous configuration audits across your entire cloud infrastructure. @@ -274,9 +271,6 @@ After setting up CSM, toggle the **Enable Resource Collection** option under the [40]: https://docs.datadoghq.com/security/cloud_security_management/setup/cloud_integrations/?tab=googlecloud [41]: https://docs.datadoghq.com/infrastructure/resource_catalog/ -{{% /tab %}} -{{< /tabs >}} - ### Database Monitoring (DBM) Use [Database Monitoring (DBM)][49] to gain increased insight on performance metrics, host health and query samples for your Google Cloud SQL databases. @@ -336,4 +330,4 @@ Use [Database Monitoring (DBM)][49] to gain increased insight on performance met [52]: https://docs.datadoghq.com/getting_started/integrations/google_cloud/#prerequisites [53]: https://console.cloud.google.com/ [54]: https://app.datadoghq.com/integrations/google-cloud-platform -[55]: https://console.cloud.google.com/ \ No newline at end of file +[55]: https://console.cloud.google.com/ From 81251d21d1d6d151b9906655dfc69832742192da Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Tue, 15 Oct 2024 16:47:52 +0100 Subject: [PATCH 14/50] Update google_cloud.md From e9d0f9ae8eefebafb1558662c315b6873cfb0bc0 Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Tue, 15 Oct 2024 16:50:31 +0100 Subject: [PATCH 15/50] Update google_cloud.md --- content/en/getting_started/integrations/google_cloud.md | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index 16e2809d1bad6..f1829f73c5a4a 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -42,7 +42,7 @@ Integrating your Google Cloud projects with Datadog allows you to monitor real-t You can integrate Datadog with [Google Cloud][4] using [service account impersonation][5] and project discovery. Service account impersonation enables Datadog to automatically discover and monitor new projects as they are created within the assigned scope, providing seamless monitoring as your Google Cloud environment grows. -After reviewing the above [Prerequisites][52], follow these step-by-step instructions to set up the Google Cloud integration: +After reviewing the above [Prerequisites][3], follow these step-by-step instructions to set up the Google Cloud integration: {{% collapse-content title=" 1. Create your Google Cloud service account" level="h5" %}} 1. Open your [Google Cloud console][53]. @@ -278,7 +278,7 @@ Use [Database Monitoring (DBM)][49] to gain increased insight on performance met [1]: https://www.datadoghq.com/ [2]: https://cloud.google.com/iam/docs/service-accounts-create -[3]: https://docs.datadoghq.com/integrations/google_cloud_platform/?tab=project#prerequisites +[3]: https://docs.datadoghq.com/getting_started/integrations/google_cloud/#prerequisites [4]: https://cloud.google.com/gcp?utm_source=google&utm_medium=cpc&utm_campaign=emea-ie-all-en-bkws-all-all-trial-b-gcp-1707574&utm_content=text-ad-none-any-DEV_c-CRE_669760174288-ADGP_Hybrid+%7C+BKWS+-+BRO+%7C+Txt+-+GCP+-+General+-+v3-KWID_43700077708210645-kwd-14471151-userloc_1007850&utm_term=KW_gcp-NET_g-PLAC_&&gad_source=1&gclid=Cj0KCQjwjY64BhCaARIsAIfc7YbR2kdAZ5vGSkq1FDDHkHRnzAX7KcFTlFxIfOUnS86LyRc9Y1TerXEaAmOMEALw_wcB&gclsrc=aw.ds&hl=en [5]: https://cloud.google.com/iam/docs/service-account-overview#impersonation [6]: https://docs.datadoghq.com/integrations/google_cloud_platform/?tab=project#setup @@ -327,7 +327,6 @@ Use [Database Monitoring (DBM)][49] to gain increased insight on performance met [49]: https://docs.datadoghq.com/database_monitoring/ [50]: https://docs.datadoghq.com/cloud_cost_management/ [51]: https://docs.datadoghq.com/cloud_cost_management/google_cloud/ -[52]: https://docs.datadoghq.com/getting_started/integrations/google_cloud/#prerequisites [53]: https://console.cloud.google.com/ [54]: https://app.datadoghq.com/integrations/google-cloud-platform [55]: https://console.cloud.google.com/ From acefd72872dcc8eed4e5ad6379444592830784a8 Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Tue, 15 Oct 2024 16:53:05 +0100 Subject: [PATCH 16/50] Update logs.md --- content/en/serverless/aws_lambda/logs.md | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/content/en/serverless/aws_lambda/logs.md b/content/en/serverless/aws_lambda/logs.md index 881de0e05dc9f..cd919d9a157fd 100644 --- a/content/en/serverless/aws_lambda/logs.md +++ b/content/en/serverless/aws_lambda/logs.md @@ -1,5 +1,5 @@ --- -title: Log Collection for AWS Lambda$$$ +title: Log Collection for AWS Lambda --- ### Collect logs from non-Lambda resources @@ -9,9 +9,7 @@ Logs generated by managed resources besides AWS Lambda functions can be valuable - Queues & Streams: SQS, SNS, Kinesis - Data Stores: DynamoDB, S3, RDS -###### Configuration - -Testytesteroooooooo +## Configuration ### Enable log collection From 8008daf53390554246dca285a2d0ae5214c6926a Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Tue, 15 Oct 2024 16:53:18 +0100 Subject: [PATCH 17/50] Update content/en/getting_started/integrations/google_cloud.md Co-authored-by: Ursula Chen <58821586+urseberry@users.noreply.github.com> --- content/en/getting_started/integrations/google_cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index f1829f73c5a4a..98a577f1c9e8d 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -68,7 +68,7 @@ After reviewing the above [Prerequisites][3], follow these step-by-step instruct {{% /collapse-content %}} {{% collapse-content title="2. Add the Datadog principal to your service account" level="h5" %}} -1. In Datadog, navigate to the [**Integrations** > **Google Cloud Platform**][54]. +1. In Datadog, navigate to **Integrations** > [**Google Cloud Platform**][54]. 2. Click on **Add Google Cloud Account**. If you have no configured projects, you are automatically redirected to this page. From 636218a19bf7d276182ddc54232289cc877dc0d1 Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Tue, 15 Oct 2024 16:53:31 +0100 Subject: [PATCH 18/50] Update content/en/getting_started/integrations/google_cloud.md Co-authored-by: Ursula Chen <58821586+urseberry@users.noreply.github.com> --- content/en/getting_started/integrations/google_cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index 98a577f1c9e8d..e3b3817439ebd 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -155,7 +155,7 @@ The Google Cloud integration collects [**all GA Google Cloud metrics**][17] from | [Cloud Tasks][20] | Distributed task queues | | [Cloud TPU][21] | Train and run machine learning models | | [Compute Engine][22] | High performance virtual machines | -| [Container Engine][23] | Kubernetes, managed by google | +| [Container Engine][23] | Kubernetes, managed by Google | | [Datastore][24] | NoSQL database | | [Firebase][25] | Mobile platform for application development | | [Functions][26] | Serverless platform for building event-based microservices | From 8e641ce67305cb3faadf75c3c73d7aaa1b4e68aa Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Tue, 15 Oct 2024 16:53:42 +0100 Subject: [PATCH 19/50] Update content/en/getting_started/integrations/google_cloud.md Co-authored-by: Ursula Chen <58821586+urseberry@users.noreply.github.com> --- content/en/getting_started/integrations/google_cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index e3b3817439ebd..fcfe7627d2f17 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -170,7 +170,7 @@ The Google Cloud integration collects [**all GA Google Cloud metrics**][17] from {{% /collapse-content %}} You can find your Google Cloud metrics in the Metrics Summary page in the Datadog platform. -To view your metrics, navigate to `Metrics > Summary` and search for `gcp`: +To view your metrics, use the left menu to navigate to **Metrics** > **Summary** and search for `gcp`: {{< img src="integrations/google_cloud_platform/gcp_metric_summary.png" style="width:100%;" >}} From c2d15d35968eea51a1bde71f58b9a2e63d799fe7 Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Tue, 15 Oct 2024 16:53:55 +0100 Subject: [PATCH 20/50] Update content/en/getting_started/integrations/google_cloud.md Co-authored-by: Ursula Chen <58821586+urseberry@users.noreply.github.com> --- content/en/getting_started/integrations/google_cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index fcfe7627d2f17..7e9bd877b67a3 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -176,7 +176,7 @@ To view your metrics, use the left menu to navigate to **Metrics** > **Summary** ### Filtering metric collection -You can limit the GCE/GKE instances & Cloud Run Revisions that are pulled into Datadog by entering tags in the **Limit Metric Collection Filters** text boxes under the **General** tab. +You can limit the GCE/GKE instances and Cloud Run revisions that are pulled into Datadog by entering tags in the **Limit Metric Collection Filters** text boxes under the **General** tab. Only resources that match one of the defined tags are imported into Datadog. You can use wildcards (`?` for single character, `*` for multi-character) to match many hosts, or `!` to exclude certain hosts. From 446594116c0e8f0a90b61d7469eadb6dc7ae6939 Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Tue, 15 Oct 2024 16:54:03 +0100 Subject: [PATCH 21/50] Update content/en/getting_started/integrations/google_cloud.md Co-authored-by: Ursula Chen <58821586+urseberry@users.noreply.github.com> --- content/en/getting_started/integrations/google_cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index 7e9bd877b67a3..8d033437f1205 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -206,7 +206,7 @@ Alternatively, to collect logs from applications running in GCE or GKE, you can Our [Integrations page][26] provides a full listing of the available sub-integrations for Google Cloud. Many of these integrations are installed by default when Datadog recognizes data being ingested in from your Google Cloud account. -## Leveraging the Datadog Agent for greater visibility +## Leveraging the Datadog Agent After the Google Cloud integration is configured, Datadog automatically starts collecting Google Cloud metrics. However, you can leverage the Datadog Agent to gather deeper insights into your infrastructure. From 81f326a2e23848241a7c960b80757160c3fbbdc5 Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Tue, 15 Oct 2024 16:54:11 +0100 Subject: [PATCH 22/50] Update content/en/getting_started/integrations/google_cloud.md Co-authored-by: Ursula Chen <58821586+urseberry@users.noreply.github.com> --- content/en/getting_started/integrations/google_cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index 8d033437f1205..19995f7d8916a 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -203,7 +203,7 @@ Alternatively, to collect logs from applications running in GCE or GKE, you can ## Google Cloud integrations -Our [Integrations page][26] provides a full listing of the available sub-integrations for Google Cloud. +The [Integrations page][26] provides a full listing of the available sub-integrations for Google Cloud. Many of these integrations are installed by default when Datadog recognizes data being ingested in from your Google Cloud account. ## Leveraging the Datadog Agent From c0e865625c435367d4e69e0bde8abad3cb8e3e62 Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Tue, 15 Oct 2024 16:54:27 +0100 Subject: [PATCH 23/50] Update content/en/getting_started/integrations/google_cloud.md Co-authored-by: Ursula Chen <58821586+urseberry@users.noreply.github.com> --- content/en/getting_started/integrations/google_cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index 19995f7d8916a..b058f3223b208 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -210,7 +210,7 @@ Many of these integrations are installed by default when Datadog recognizes data After the Google Cloud integration is configured, Datadog automatically starts collecting Google Cloud metrics. However, you can leverage the Datadog Agent to gather deeper insights into your infrastructure. -The [Datadog Agent][25] provides the [most granular, low-latency metrics from your infrastructure][47], delivering real-time insights into CPU, memory, disk usage, and more for your Google Cloud hosts. +The [Datadog Agent][25] provides the [most granular, low-latency metrics][47] from your infrastructure, delivering real-time insights into CPU, memory, disk usage, and more for your Google Cloud hosts. The Agent can be installed on any host, including [GKE][28]. The Agent also supports a wide range of [integrations][29], enabling you to extend visibility into specific services and databases running on your hosts. From 54c73386dcf02d75919aa2ea45997ac8415a668f Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Tue, 15 Oct 2024 16:55:13 +0100 Subject: [PATCH 24/50] Update google_cloud.md --- content/en/getting_started/integrations/google_cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index b058f3223b208..605ef195eaa70 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -323,7 +323,7 @@ Use [Database Monitoring (DBM)][49] to gain increased insight on performance met [45]: https://cloud.google.com/vpc/docs/private-service-connect [46]: https://docs.datadoghq.com/integrations/google_cloud_private_service_connect/ [47]: https://docs.datadoghq.com/developers/guide/data-collection-resolution-retention/#pagetitle:~:text=n/a-,Infrastructure,-Agent%20integrations -[48]: http://localhost:1313/getting_started/integrations/google_cloud/#explore-related-products +[48]: http://docs.datadoghq.com/getting_started/integrations/google_cloud/#explore-related-products [49]: https://docs.datadoghq.com/database_monitoring/ [50]: https://docs.datadoghq.com/cloud_cost_management/ [51]: https://docs.datadoghq.com/cloud_cost_management/google_cloud/ From f3a68249a80b61e6da35a975b45f3f13f926ba36 Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Tue, 15 Oct 2024 16:58:58 +0100 Subject: [PATCH 25/50] Update google_cloud.md --- content/en/getting_started/integrations/google_cloud.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index 605ef195eaa70..621cec6c7ed10 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -10,7 +10,7 @@ Integrating your Google Cloud projects with Datadog allows you to monitor real-t ## Prerequisites 1) Create a [Datadog account][1] 2) Set up a [Service Account][2] in Google Cloud -3) Review these Google Cloud [Prerequisites][3]: +3) Review these Google Cloud Prerequisites: - If your organization restricts identities by domain, you must add Datadog's customer identity `C0147pk0i` as an allowed value in your policy. - Ensure that any projects being monitored are **not** configured as [scoping projects][42] that pull in metrics from multiple other projects. @@ -42,7 +42,7 @@ Integrating your Google Cloud projects with Datadog allows you to monitor real-t You can integrate Datadog with [Google Cloud][4] using [service account impersonation][5] and project discovery. Service account impersonation enables Datadog to automatically discover and monitor new projects as they are created within the assigned scope, providing seamless monitoring as your Google Cloud environment grows. -After reviewing the above [Prerequisites][3], follow these step-by-step instructions to set up the Google Cloud integration: +After reviewing the above [Prerequisites][52], follow these step-by-step instructions to set up the Google Cloud integration: {{% collapse-content title=" 1. Create your Google Cloud service account" level="h5" %}} 1. Open your [Google Cloud console][53]. @@ -278,7 +278,6 @@ Use [Database Monitoring (DBM)][49] to gain increased insight on performance met [1]: https://www.datadoghq.com/ [2]: https://cloud.google.com/iam/docs/service-accounts-create -[3]: https://docs.datadoghq.com/getting_started/integrations/google_cloud/#prerequisites [4]: https://cloud.google.com/gcp?utm_source=google&utm_medium=cpc&utm_campaign=emea-ie-all-en-bkws-all-all-trial-b-gcp-1707574&utm_content=text-ad-none-any-DEV_c-CRE_669760174288-ADGP_Hybrid+%7C+BKWS+-+BRO+%7C+Txt+-+GCP+-+General+-+v3-KWID_43700077708210645-kwd-14471151-userloc_1007850&utm_term=KW_gcp-NET_g-PLAC_&&gad_source=1&gclid=Cj0KCQjwjY64BhCaARIsAIfc7YbR2kdAZ5vGSkq1FDDHkHRnzAX7KcFTlFxIfOUnS86LyRc9Y1TerXEaAmOMEALw_wcB&gclsrc=aw.ds&hl=en [5]: https://cloud.google.com/iam/docs/service-account-overview#impersonation [6]: https://docs.datadoghq.com/integrations/google_cloud_platform/?tab=project#setup @@ -327,6 +326,7 @@ Use [Database Monitoring (DBM)][49] to gain increased insight on performance met [49]: https://docs.datadoghq.com/database_monitoring/ [50]: https://docs.datadoghq.com/cloud_cost_management/ [51]: https://docs.datadoghq.com/cloud_cost_management/google_cloud/ +[52]: https://docs.datadoghq.com/getting_started/integrations/google_cloud/#prerequisites [53]: https://console.cloud.google.com/ [54]: https://app.datadoghq.com/integrations/google-cloud-platform [55]: https://console.cloud.google.com/ From d530885f922052dcdc85eb905fc5589f3a544dc2 Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Tue, 15 Oct 2024 17:02:27 +0100 Subject: [PATCH 26/50] Update google_cloud.md --- content/en/getting_started/integrations/google_cloud.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index 621cec6c7ed10..1e990c91012bb 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -42,7 +42,7 @@ Integrating your Google Cloud projects with Datadog allows you to monitor real-t You can integrate Datadog with [Google Cloud][4] using [service account impersonation][5] and project discovery. Service account impersonation enables Datadog to automatically discover and monitor new projects as they are created within the assigned scope, providing seamless monitoring as your Google Cloud environment grows. -After reviewing the above [Prerequisites][52], follow these step-by-step instructions to set up the Google Cloud integration: +After reviewing the above [Prerequisites][3], follow these step-by-step instructions to set up the Google Cloud integration: {{% collapse-content title=" 1. Create your Google Cloud service account" level="h5" %}} 1. Open your [Google Cloud console][53]. @@ -278,6 +278,7 @@ Use [Database Monitoring (DBM)][49] to gain increased insight on performance met [1]: https://www.datadoghq.com/ [2]: https://cloud.google.com/iam/docs/service-accounts-create +[3]: https://docs.datadoghq.com/getting_started/integrations/google_cloud/#prerequisites [4]: https://cloud.google.com/gcp?utm_source=google&utm_medium=cpc&utm_campaign=emea-ie-all-en-bkws-all-all-trial-b-gcp-1707574&utm_content=text-ad-none-any-DEV_c-CRE_669760174288-ADGP_Hybrid+%7C+BKWS+-+BRO+%7C+Txt+-+GCP+-+General+-+v3-KWID_43700077708210645-kwd-14471151-userloc_1007850&utm_term=KW_gcp-NET_g-PLAC_&&gad_source=1&gclid=Cj0KCQjwjY64BhCaARIsAIfc7YbR2kdAZ5vGSkq1FDDHkHRnzAX7KcFTlFxIfOUnS86LyRc9Y1TerXEaAmOMEALw_wcB&gclsrc=aw.ds&hl=en [5]: https://cloud.google.com/iam/docs/service-account-overview#impersonation [6]: https://docs.datadoghq.com/integrations/google_cloud_platform/?tab=project#setup @@ -326,7 +327,6 @@ Use [Database Monitoring (DBM)][49] to gain increased insight on performance met [49]: https://docs.datadoghq.com/database_monitoring/ [50]: https://docs.datadoghq.com/cloud_cost_management/ [51]: https://docs.datadoghq.com/cloud_cost_management/google_cloud/ -[52]: https://docs.datadoghq.com/getting_started/integrations/google_cloud/#prerequisites [53]: https://console.cloud.google.com/ [54]: https://app.datadoghq.com/integrations/google-cloud-platform [55]: https://console.cloud.google.com/ From db69de65a64ba1125935e482147e0ebdb37cdcbd Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Tue, 15 Oct 2024 17:15:20 +0100 Subject: [PATCH 27/50] Removing 'you can' & adding more active voice --- .../getting_started/integrations/google_cloud.md | 15 +++++++-------- 1 file changed, 7 insertions(+), 8 deletions(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index 1e990c91012bb..fbaa810d57db5 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -40,7 +40,7 @@ Integrating your Google Cloud projects with Datadog allows you to monitor real-t ## Setup -You can integrate Datadog with [Google Cloud][4] using [service account impersonation][5] and project discovery. Service account impersonation enables Datadog to automatically discover and monitor new projects as they are created within the assigned scope, providing seamless monitoring as your Google Cloud environment grows. +Integrate Datadog with [Google Cloud][4] using [service account impersonation][5] and project discovery. Service account impersonation enables Datadog to automatically discover and monitor new projects as they are created within the assigned scope, providing seamless monitoring as your Google Cloud environment grows. After reviewing the above [Prerequisites][3], follow these step-by-step instructions to set up the Google Cloud integration: @@ -96,7 +96,7 @@ Keep this window open for Section 3. {{% /collapse-content %}} {{% collapse-content title="3. Complete the integration setup in Datadog" level="h5" %}} -1. In your Google Cloud console, navigate to the **Service Account** > **Details** tab. There, you can find the email associated with this Google service account. It resembles `@.iam.gserviceaccount.com`. +1. In your Google Cloud console, navigate to the **Service Account** > **Details** tab. On this page, find the email associated with this Google service account. It resembles `@.iam.gserviceaccount.com`. 2. Copy this email. @@ -176,10 +176,10 @@ To view your metrics, use the left menu to navigate to **Metrics** > **Summary** ### Filtering metric collection -You can limit the GCE/GKE instances and Cloud Run revisions that are pulled into Datadog by entering tags in the **Limit Metric Collection Filters** text boxes under the **General** tab. +Limit the GCE/GKE instances and Cloud Run revisions that are pulled into Datadog by entering tags in the **Limit Metric Collection Filters** text boxes under the **General** tab. Only resources that match one of the defined tags are imported into Datadog. -You can use wildcards (`?` for single character, `*` for multi-character) to match many hosts, or `!` to exclude certain hosts. +Use wildcards (`?` for single character, `*` for multi-character) to match many hosts, or `!` to exclude certain hosts. This example includes all c1* sized instances, but excludes staging hosts: ```text @@ -246,8 +246,8 @@ To use Google Cloud Cost Management in Datadog, [follow these steps][51]. ### Cloud SIEM -With Cloud SIEM, you can analyze operational and security logs in real time, while utilizing out-of-the-box integrations and rules to detect threats and investigate them. -To set this feature up, see [Getting Started with Cloud SIEM][36]. +Cloud SIEM provides real-time analysis of operational and security logs, while using out-of-the-box integrations and rules to detect and investigate threats. +To use this feature, see [Getting Started with Cloud SIEM][36]. To view security findings from [Google Cloud Security Command Center][37] in Cloud SIEM, toggle the **Enable collection of security findings** option under the **Security Findings** tab & follow the setup instructions on the [Google Cloud Security Command Center guide][38]. @@ -259,8 +259,7 @@ To view security findings from [Google Cloud Security Command Center][37] in Clo ### Cloud Security Management -Datadog Cloud Security Management (CSM) delivers real-time threat detection and continuous configuration audits across your entire cloud infrastructure. - +Datadog Cloud Security Management (CSM) delivers real-time threat detection and continuous configuration audits across your entire cloud infrastructure.z Check out the [Setting up Cloud Security Management guide][39] to get started. After setting up CSM, toggle the **Enable Resource Collection** option under the **Resource Collection** tab to start collecting configuration data for the [Resource Catalog][41] and CSM. Then, follow these instructions to enable [Misconfigurations and Identity Risks (CIEM)][40] on Google Cloud. From ea1420d5dd1268fe9f40c5e3322ce3274bb5ea1a Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Tue, 15 Oct 2024 17:34:23 +0100 Subject: [PATCH 28/50] Updating metrics drop down links --- .../integrations/google_cloud.md | 102 ++++++++++++------ 1 file changed, 68 insertions(+), 34 deletions(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index fbaa810d57db5..2b9ed1ab623ea 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -133,40 +133,40 @@ The Google Cloud integration collects [**all GA Google Cloud metrics**][17] from {{% collapse-content title="Click here for a sample of the Google Cloud metrics Datadog collects" level="h5" %}} | Integration | Description | |-------------------------------------|---------------------------------------------------------------------------------------| -| [App Engine][1] | PaaS (platform as a service) to build scalable applications | -| [Big Query][2] | Enterprise data warehouse | -| [Bigtable][3] | NoSQL Big Data database service | -| [Cloud SQL][4] | MySQL database service | -| [Cloud APIs][5] | Programmatic interfaces for all Google Cloud Platform services | -| [Cloud Armor][6] | Network security service to help protect against denial of service and web attacks | -| [Cloud Composer][7] | A fully managed workflow orchestration service | -| [Cloud Dataproc][8] | A cloud service for running Apache Spark and Apache Hadoop clusters | -| [Cloud Dataflow][9] | A fully-managed service for transforming and enriching data in stream and batch modes | -| [Cloud Filestore][10] | High-performance, fully managed file storage | -| [Cloud Firestore][11] | A flexible, scalable database for mobile, web, and server development | -| [Cloud Interconnect][12] | Hybrid connectivity | -| [Cloud IoT][13] | Secure device connection and management | -| [Cloud Load Balancing][14] | Distribute load-balanced compute resources | -| [Cloud Logging][15] | Real-time log management and analysis | -| [Cloud Memorystore for Redis][16] | A fully managed in-memory data store service | -| [Cloud Router][17] | Exchange routes between your VPC and on-premises networks by using BGP | -| [Cloud Run][18] | Managed compute platform that runs stateless containers through HTTP | -| [Cloud Security Command Center][19] | Security Command Center is a threat reporting service. | -| [Cloud Tasks][20] | Distributed task queues | -| [Cloud TPU][21] | Train and run machine learning models | -| [Compute Engine][22] | High performance virtual machines | -| [Container Engine][23] | Kubernetes, managed by Google | -| [Datastore][24] | NoSQL database | -| [Firebase][25] | Mobile platform for application development | -| [Functions][26] | Serverless platform for building event-based microservices | -| [Kubernetes Engine][27] | Cluster manager and orchestration system | -| [Machine Learning][28] | Machine learning services | -| [Private Service Connect][29] | Access managed services with private VPC connections | -| [Pub/Sub][30] | Real-time messaging service | -| [Spanner][31] | Horizontally scalable, globally consistent, relational database service | -| [Storage][32] | Unified object storage | -| [Vertex AI][33] | Build, train and deploy custom machine learning (ML) models. | -| [VPN][34] | Managed network functionality | +| [App Engine][56] | PaaS (platform as a service) to build scalable applications | +| [Big Query][57] | Enterprise data warehouse | +| [Bigtable][58] | NoSQL Big Data database service | +| [Cloud SQL][59] | MySQL database service | +| [Cloud APIs][60] | Programmatic interfaces for all Google Cloud Platform services | +| [Cloud Armor][61] | Network security service to help protect against denial of service and web attacks | +| [Cloud Composer][62] | A fully managed workflow orchestration service | +| [Cloud Dataproc][63] | A cloud service for running Apache Spark and Apache Hadoop clusters | +| [Cloud Dataflow][64] | A fully-managed service for transforming and enriching data in stream and batch modes | +| [Cloud Filestore][65] | High-performance, fully managed file storage | +| [Cloud Firestore][66] | A flexible, scalable database for mobile, web, and server development | +| [Cloud Interconnect][67] | Hybrid connectivity | +| [Cloud IoT][68] | Secure device connection and management | +| [Cloud Load Balancing][69] | Distribute load-balanced compute resources | +| [Cloud Logging][70] | Real-time log management and analysis | +| [Cloud Memorystore for Redis][71] | A fully managed in-memory data store service | +| [Cloud Router][72] | Exchange routes between your VPC and on-premises networks by using BGP | +| [Cloud Run][73] | Managed compute platform that runs stateless containers through HTTP | +| [Cloud Security Command Center][74] | Security Command Center is a threat reporting service. | +| [Cloud Tasks][75] | Distributed task queues | +| [Cloud TPU][76] | Train and run machine learning models | +| [Compute Engine][77] | High performance virtual machines | +| [Container Engine][78] | Kubernetes, managed by Google | +| [Datastore][79] | NoSQL database | +| [Firebase][80] | Mobile platform for application development | +| [Functions][81] | Serverless platform for building event-based microservices | +| [Kubernetes Engine][82] | Cluster manager and orchestration system | +| [Machine Learning][83] | Machine learning services | +| [Private Service Connect][84] | Access managed services with private VPC connections | +| [Pub/Sub][85] | Real-time messaging service | +| [Spanner][86] | Horizontally scalable, globally consistent, relational database service | +| [Storage][87] | Unified object storage | +| [Vertex AI][88] | Build, train and deploy custom machine learning (ML) models. | +| [VPN][89] | Managed network functionality | {{% /collapse-content %}} You can find your Google Cloud metrics in the Metrics Summary page in the Datadog platform. @@ -329,3 +329,37 @@ Use [Database Monitoring (DBM)][49] to gain increased insight on performance met [53]: https://console.cloud.google.com/ [54]: https://app.datadoghq.com/integrations/google-cloud-platform [55]: https://console.cloud.google.com/ +[56]: https://docs.datadoghq.com/integrations/google_app_engine/ +[57]: https://docs.datadoghq.com/integrations/google_bigquery/ +[58]: https://docs.datadoghq.com/integrations/google_cloud_bigtable/ +[59]: https://docs.datadoghq.com/integrations/google_cloudsql/ +[60]: https://docs.datadoghq.com/integrations/google_cloud_apis/ +[61]: https://docs.datadoghq.com/integrations/google_cloud_armor/ +[62]: https://docs.datadoghq.com/integrations/google_cloud_composer/ +[63]: https://docs.datadoghq.com/integrations/google_cloud_dataproc/ +[64]: https://docs.datadoghq.com/integrations/google_cloud_dataflow/ +[65]: https://docs.datadoghq.com/integrations/google_cloud_filestore/ +[66]: https://docs.datadoghq.com/integrations/google_cloud_firestore/ +[67]: https://docs.datadoghq.com/integrations/google_cloud_interconnect/ +[68]: https://docs.datadoghq.com/integrations/google_cloud_iot/ +[69]: https://docs.datadoghq.com/integrations/google_cloud_loadbalancing/ +[70]: https://docs.datadoghq.com/integrations/google_stackdriver_logging/ +[71]: https://docs.datadoghq.com/integrations/google_cloud_redis/ +[72]: https://docs.datadoghq.com/integrations/google_cloud_router/ +[73]: https://docs.datadoghq.com/integrations/google_cloud_run/ +[74]: https://docs.datadoghq.com/integrations/google_cloud_security_command_center/ +[75]: https://docs.datadoghq.com/integrations/google_cloud_tasks/ +[76]: https://docs.datadoghq.com/integrations/google_cloud_tpu/ +[77]: https://docs.datadoghq.com/integrations/google_compute_engine/ +[78]: https://docs.datadoghq.com/integrations/google_container_engine/ +[79]: https://docs.datadoghq.com/integrations/google_cloud_datastore/ +[80]: https://docs.datadoghq.com/integrations/google_cloud_firebase/ +[81]: https://docs.datadoghq.com/integrations/google_cloud_functions/ +[82]: https://docs.datadoghq.com/integrations/google_kubernetes_engine/ +[83]: https://docs.datadoghq.com/integrations/google_cloud_ml/ +[84]: https://docs.datadoghq.com/integrations/google_cloud_private_service_connect/ +[85]: https://docs.datadoghq.com/integrations/google_cloud_pubsub/ +[86]: https://docs.datadoghq.com/integrations/google_cloud_spanner/ +[87]: https://docs.datadoghq.com/integrations/google_cloud_storage/ +[88]: https://docs.datadoghq.com/integrations/google_cloud_vertex_ai/ +[89]: https://docs.datadoghq.com/integrations/google_cloud_vpn/ From 294ccf1c41bb0764678183d44dbbf09fc0b08842 Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Wed, 16 Oct 2024 13:11:42 +0100 Subject: [PATCH 29/50] Update google_cloud.md --- .../integrations/google_cloud.md | 23 ++++++++----------- 1 file changed, 10 insertions(+), 13 deletions(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index 2b9ed1ab623ea..6a66a41698007 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -176,18 +176,23 @@ To view your metrics, use the left menu to navigate to **Metrics** > **Summary** ### Filtering metric collection -Limit the GCE/GKE instances and Cloud Run revisions that are pulled into Datadog by entering tags in the **Limit Metric Collection Filters** text boxes under the **General** tab. -Only resources that match one of the defined tags are imported into Datadog. +Limit the GCE/GKE instances and Cloud Run revisions that are pulled into Datadog by entering tags in the **Limit Metric Collection Filters** text boxes under the **General** tab of the Google Cloud Integration tile. +Only Google Cloud hosts with labels that match these defined tags are imported into Datadog. + +See Google's documentation on [Creating and managing labels][19] for more details on adding labels to your Google Cloud hosts. + +In the below example, only Google Cloud hosts with the label `datadog:true` will be monitored by Datadog: + +{{< img src="integrations/google_cloud_platform/limit_metric_collection.mp4" video=true style="width:100%;" >}} Use wildcards (`?` for single character, `*` for multi-character) to match many hosts, or `!` to exclude certain hosts. This example includes all c1* sized instances, but excludes staging hosts: ```text -datadog:monitored,env:production,!env:staging,instance-type:c1.* +datadog:true,env:production,!env:staging,instance-type:c1.* ``` -See Google's documentation on [Creating and managing labels][19] for more details on adding labels to your Google Cloud hosts. - +Limiting your hosts also helps to control your resource costs. For more information on how to control your resource costs, see the [Google Cloud Integration Billing page][20]. @@ -253,10 +258,6 @@ To view security findings from [Google Cloud Security Command Center][37] in Clo {{< img src="integrations/google_cloud_platform/security_findings.png" style="width:100%;" >}} -[36]: https://docs.datadoghq.com/getting_started/cloud_siem/ -[37]: https://console.cloud.google.com/projectselector2/security/command-center/overview?supportedpurview=organizationId,folder,project -[38]: https://docs.datadoghq.com/integrations/google_cloud_security_command_center/#installation - ### Cloud Security Management Datadog Cloud Security Management (CSM) delivers real-time threat detection and continuous configuration audits across your entire cloud infrastructure.z @@ -266,10 +267,6 @@ After setting up CSM, toggle the **Enable Resource Collection** option under the {{< img src="integrations/google_cloud_platform/gcp_resource_collection.png" style="width:100%;" >}} -[39]: https://docs.datadoghq.com/security/cloud_security_management/setup/ -[40]: https://docs.datadoghq.com/security/cloud_security_management/setup/cloud_integrations/?tab=googlecloud -[41]: https://docs.datadoghq.com/infrastructure/resource_catalog/ - ### Database Monitoring (DBM) Use [Database Monitoring (DBM)][49] to gain increased insight on performance metrics, host health and query samples for your Google Cloud SQL databases. 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b/content/en/getting_started/integrations/google_cloud.md index 6a66a41698007..969de5da4250a 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -256,7 +256,7 @@ To use this feature, see [Getting Started with Cloud SIEM][36]. To view security findings from [Google Cloud Security Command Center][37] in Cloud SIEM, toggle the **Enable collection of security findings** option under the **Security Findings** tab & follow the setup instructions on the [Google Cloud Security Command Center guide][38]. -{{< img src="integrations/google_cloud_platform/security_findings.png" style="width:100%;" >}} +{{< img src="integrations/google_cloud_platform/security_findings.png" style="width:90%;" >}} ### Cloud Security Management From d16e7112d78a64b5b24961b1992c36fa828a3c77 Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Wed, 16 Oct 2024 14:03:33 +0100 Subject: [PATCH 32/50] Update google_cloud.md --- content/en/getting_started/integrations/google_cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index 969de5da4250a..cc80ef2ea3b91 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -177,7 +177,7 @@ To view your metrics, use the left menu to navigate to **Metrics** > **Summary** ### Filtering metric collection Limit the GCE/GKE instances and Cloud Run revisions that are pulled into Datadog by entering tags in the **Limit Metric Collection Filters** text boxes under the **General** tab of the Google Cloud Integration tile. -Only Google Cloud hosts with labels that match these defined tags are imported into Datadog. +Only Google Cloud hosts with **labels** that match these defined tags are imported into Datadog. See Google's documentation on [Creating and managing labels][19] for more details on adding labels to your Google Cloud hosts. 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zpoDr25O6|~T{al^$>+UKshYZvoxy<`t-tgSwAlA}?>b(H25c42N#{*J$36@VWVGmG zV6y|y1OTEp{!!l_wcetn+ZI~EF5&);ga4{;{x3p4OL0iE=eOs+vOqeVtuFt1Zd;$p z)cu{6r2n^sKcdqB=sk$-oy43!A?Y7%x)lb%KhpHO&z*m%>AaBb7O=>P3))lk|JyAo zTZ93w1 Date: Wed, 16 Oct 2024 15:34:03 +0100 Subject: [PATCH 34/50] Update google_cloud.md --- content/en/getting_started/integrations/google_cloud.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index cc80ef2ea3b91..65ac7f9d3a827 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -3,9 +3,9 @@ title: Getting Started with Google Cloud --- ## Overview -This guide provides an overview of how to get started with the Datadog Google Cloud integration. -Integrating your Google Cloud projects with Datadog allows you to monitor real-time metrics & logs from your GCE and GKE compute instances. +Integrating your Google Cloud projects with Datadog allows you to monitor metrics from your GCE and GKE compute instances within the Datadog platform. +This guide provides an overview of how to quickly get started with the Datadog Google Cloud integration. ## Prerequisites 1) Create a [Datadog account][1] From 7f50f0319542c807bb35ea0d478a3ddd24b12c28 Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Thu, 17 Oct 2024 11:51:42 +0100 Subject: [PATCH 35/50] Adding further reading section --- .../integrations/google_cloud.md | 30 +++++++++++++++++++ 1 file changed, 30 insertions(+) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index 65ac7f9d3a827..2c88e098176ae 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -1,5 +1,33 @@ --- title: Getting Started with Google Cloud +further_reading: + - link: 'https://docs.datadoghq.com/integrations/google_cloud_platform/?tab=dataflowmethodrecommended' + tag: 'Documentation' + text: 'Google Cloud integration' + - link: 'https://docs.datadoghq.com/account_management/billing/google_cloud/' + tag: 'Guide' + text: 'Google Cloud integration billing' + - link: 'https://docs.datadoghq.com/integrations/guide/cloud-metric-delay/' + tag: 'Guide' + text: 'Cloud Metric Delay' + - link: 'https://docs.datadoghq.com/agent/guide/why-should-i-install-the-agent-on-my-cloud-instances/' + tag: 'Guide' + text: 'Why should I install the Datadog Agent on my cloud instances?' + - link: 'https://www.datadoghq.com/blog/gke-dashboards-integration-improvements/' + tag: 'Blog' + text: 'New GKE dashboards and metrics provide deeper visibility into your environment' + - link: 'https://www.datadoghq.com/blog/google-cloud-private-service-connect/' + tag: 'Blog' + text: 'Access Datadog privately and monitor your Google Cloud Private Service Connect usage' + - link: 'https://www.datadoghq.com/blog/track-bigquery-costs-performance/' + tag: 'Blog' + text: 'Monitor BigQuery with Datadog' + - link: 'https://www.datadoghq.com/blog/google-cloud-cost-management/' + tag: 'Blog' + text: 'Empower engineers to take ownership of Google Cloud costs with Datadog' + - link: 'https://www.datadoghq.com/blog/collect-traces-logs-from-cloud-run-with-datadog/' + text: 'Collect traces, logs, and custom metrics from your Google Cloud Run services with Datadog' + tag: 'Blog' --- ## Overview @@ -270,6 +298,8 @@ After setting up CSM, toggle the **Enable Resource Collection** option under the ### Database Monitoring (DBM) Use [Database Monitoring (DBM)][49] to gain increased insight on performance metrics, host health and query samples for your Google Cloud SQL databases. +## Further reading + {{< partial name="whats-next/whats-next.html" >}} [1]: https://www.datadoghq.com/ From 55c629db023951b247a206b8d6c720dcdbfbda9c Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Thu, 17 Oct 2024 14:01:25 +0100 Subject: [PATCH 36/50] Removing Billing link --- content/en/getting_started/integrations/google_cloud.md | 5 ----- 1 file changed, 5 deletions(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index 2c88e098176ae..75d2e4199db10 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -220,10 +220,6 @@ This example includes all c1* sized instances, but excludes staging hosts: datadog:true,env:production,!env:staging,instance-type:c1.* ``` -Limiting your hosts also helps to control your resource costs. -For more information on how to control your resource costs, see the [Google Cloud Integration Billing page][20]. - - ## Log collection Forward logs from your Google Cloud services to Datadog using [Google Cloud Dataflow][21] and the [Datadog template][22]. This method provides both compression and batching of events before they are forwarded to Datadog. @@ -321,7 +317,6 @@ Use [Database Monitoring (DBM)][49] to gain increased insight on performance met [17]: https://cloud.google.com/monitoring/api/metrics_gcp [18]: https://docs.datadoghq.com/integrations/guide/cloud-metric-delay/ [19]: https://cloud.google.com/compute/docs/labeling-resources -[20]: https://docs.datadoghq.com/account_management/billing/google_cloud/ [21]: https://cloud.google.com/dataflow [22]: https://cloud.google.com/dataflow/docs/guides/templates/provided/pubsub-to-datadog [23]: https://cloud.google.com/dataflow/docs/guides/templates/provided/pubsub-to-datadog From b4edf4cb0d7d04628fe3ce82cda20bd54d42c763 Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Mon, 21 Oct 2024 13:41:55 +0100 Subject: [PATCH 37/50] Update content/en/getting_started/integrations/google_cloud.md Co-authored-by: Dan T <139813809+dtru-ddog@users.noreply.github.com> --- content/en/getting_started/integrations/google_cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index 75d2e4199db10..c4bcdb37d9b29 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -33,7 +33,7 @@ further_reading: ## Overview Integrating your Google Cloud projects with Datadog allows you to monitor metrics from your GCE and GKE compute instances within the Datadog platform. -This guide provides an overview of how to quickly get started with the Datadog Google Cloud integration. +This guide provides an overview of how to get started with the Datadog Google Cloud integration. ## Prerequisites 1) Create a [Datadog account][1] From b51495c0368effc0f6f3dc8113eb6ac530832cdf Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Mon, 21 Oct 2024 13:42:10 +0100 Subject: [PATCH 38/50] Update content/en/getting_started/integrations/google_cloud.md Co-authored-by: Dan T <139813809+dtru-ddog@users.noreply.github.com> --- content/en/getting_started/integrations/google_cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index c4bcdb37d9b29..608c255d80ccc 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -32,7 +32,7 @@ further_reading: ## Overview -Integrating your Google Cloud projects with Datadog allows you to monitor metrics from your GCE and GKE compute instances within the Datadog platform. +Integrating your Google Cloud projects with Datadog allows you to monitor your GCE and GKE compute instances within the Datadog platform. This guide provides an overview of how to get started with the Datadog Google Cloud integration. ## Prerequisites From 8acefd25abdb71c4538276c338ffd00a2f6f86a9 Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Mon, 21 Oct 2024 13:42:23 +0100 Subject: [PATCH 39/50] Update content/en/getting_started/integrations/google_cloud.md Co-authored-by: Dan T <139813809+dtru-ddog@users.noreply.github.com> --- content/en/getting_started/integrations/google_cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index 608c255d80ccc..a582b6b864cfe 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -68,7 +68,7 @@ This guide provides an overview of how to get started with the Datadog Google Cl ## Setup -Integrate Datadog with [Google Cloud][4] using [service account impersonation][5] and project discovery. Service account impersonation enables Datadog to automatically discover and monitor new projects as they are created within the assigned scope, providing seamless monitoring as your Google Cloud environment grows. +Integrate Datadog with [Google Cloud][4] using [service account impersonation][5] and project discovery. This enables Datadog to automatically discover and monitor new projects as they are created within the assigned scope, providing seamless monitoring as your Google Cloud environment grows. After reviewing the above [Prerequisites][3], follow these step-by-step instructions to set up the Google Cloud integration: From 50d2b1e02d6a47df986998c7a5dd600537bc8145 Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Mon, 21 Oct 2024 13:44:24 +0100 Subject: [PATCH 40/50] Update content/en/getting_started/integrations/google_cloud.md Co-authored-by: Dan T <139813809+dtru-ddog@users.noreply.github.com> --- content/en/getting_started/integrations/google_cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index a582b6b864cfe..b53101f2dcde9 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -52,7 +52,7 @@ This guide provides an overview of how to get started with the Datadog Google Cl : Allows Datadog to discover compute instance data. [Cloud Asset API][9] -: Allows Datadog to request Google Cloud resources and link them to relevant metric tags. +: Allows Datadog to request Google Cloud resources and link relevant labels to metrics as tags. [Cloud Resource Manager API][10] : Allows Datadog to append metrics with the correct resources and tags. From 80a5c50cc1100fa870c2fca8d9474a7ed8b94b8a Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Mon, 21 Oct 2024 14:24:18 +0100 Subject: [PATCH 41/50] Update google_cloud.md --- content/en/getting_started/integrations/google_cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index b53101f2dcde9..4ce8bacf61f6d 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -37,7 +37,7 @@ This guide provides an overview of how to get started with the Datadog Google Cl ## Prerequisites 1) Create a [Datadog account][1] -2) Set up a [Service Account][2] in Google Cloud +2) Set up a [Service Account][2] in your desired Google Cloud project 3) Review these Google Cloud Prerequisites: - If your organization restricts identities by domain, you must add Datadog's customer identity `C0147pk0i` as an allowed value in your policy. From fb696c96916bb259e0590a3819b216762cdc1240 Mon Sep 17 00:00:00 2001 From: sadhbh-a <75945629+sadhbh-a@users.noreply.github.com> Date: Tue, 22 Oct 2024 14:34:15 +0100 Subject: [PATCH 42/50] Adding region condition & removing 'z' typo --- content/en/getting_started/integrations/google_cloud.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index 4ce8bacf61f6d..a75f5ae96632e 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -40,7 +40,10 @@ This guide provides an overview of how to get started with the Datadog Google Cl 2) Set up a [Service Account][2] in your desired Google Cloud project 3) Review these Google Cloud Prerequisites: +{{% site-region region="us,us3,us5,eu,ap1" %}} - If your organization restricts identities by domain, you must add Datadog's customer identity `C0147pk0i` as an allowed value in your policy. +{{% /site-region %}} + - Ensure that any projects being monitored are **not** configured as [scoping projects][42] that pull in metrics from multiple other projects. - The Google Cloud integration requires the below APIs to be enabled **for each of the projects** you want to monitor: @@ -284,7 +287,7 @@ To view security findings from [Google Cloud Security Command Center][37] in Clo ### Cloud Security Management -Datadog Cloud Security Management (CSM) delivers real-time threat detection and continuous configuration audits across your entire cloud infrastructure.z +Datadog Cloud Security Management (CSM) delivers real-time threat detection and continuous configuration audits across your entire cloud infrastructure. Check out the [Setting up Cloud Security Management guide][39] to get started. After setting up CSM, toggle the **Enable Resource Collection** option under the **Resource Collection** tab to start collecting configuration data for the [Resource Catalog][41] and CSM. Then, follow these instructions to enable [Misconfigurations and Identity Risks (CIEM)][40] on Google Cloud. From e66f3b88070be76e18f8ccf6e494bae5e1e1958c Mon Sep 17 00:00:00 2001 From: Bryce Eadie Date: Mon, 11 Nov 2024 15:39:57 -0800 Subject: [PATCH 43/50] (DOCS-8956) Incorporate feedback --- .../integrations/google_cloud.md | 242 +++++++++--------- 1 file changed, 123 insertions(+), 119 deletions(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index a75f5ae96632e..b2af14f6caa0f 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -37,15 +37,13 @@ This guide provides an overview of how to get started with the Datadog Google Cl ## Prerequisites 1) Create a [Datadog account][1] -2) Set up a [Service Account][2] in your desired Google Cloud project +2) Set up a [Service Account][2] in any of your Google Cloud projects 3) Review these Google Cloud Prerequisites: {{% site-region region="us,us3,us5,eu,ap1" %}} - If your organization restricts identities by domain, you must add Datadog's customer identity `C0147pk0i` as an allowed value in your policy. {{% /site-region %}} - -- Ensure that any projects being monitored are **not** configured as [scoping projects][42] that pull in metrics from multiple other projects. - +- Datadog does not support [scoping projects][42] that pull in metrics from multiple other projects. - The Google Cloud integration requires the below APIs to be enabled **for each of the projects** you want to monitor: [Cloud Monitoring API][7] @@ -68,98 +66,79 @@ This guide provides an overview of how to get started with the Datadog Google Cl

    - ## Setup -Integrate Datadog with [Google Cloud][4] using [service account impersonation][5] and project discovery. This enables Datadog to automatically discover and monitor new projects as they are created within the assigned scope, providing seamless monitoring as your Google Cloud environment grows. +For simplicity of setup, and to ensure there are no gaps in your monitoring, integrate Datadog with [Google Cloud][4] using [service account impersonation][5] at the organization or folder level. After reviewing the above [Prerequisites][3], follow these step-by-step instructions to set up the Google Cloud integration: -{{% collapse-content title=" 1. Create your Google Cloud service account" level="h5" %}} -1. Open your [Google Cloud console][53]. +{{% collapse-content title=" 1. Create a Google Cloud service account in the default project" level="h5" %}} +1. Open your [Google Cloud console][53]. 2. Navigate to **IAM & Admin** > **Service Accounts**. - 3. Click on **Create service account** at the top. - 4. Give the service account a unique name, then click **Create and continue**. - 5. Add the following roles to the service account: - Monitoring Viewer - - Compute Viewer - - Cloud Asset Viewer - - Browser - 6. Click **Continue**, then **Done** to complete creating the service account. {{< img src="integrations/google_cloud_platform/create-service-account.png" alt="Google Cloud console interface, showing the 'Create service account' flow. Under 'Grant this service account access to project', the four roles in the instructions are added." style="width:70%;">}} {{% /collapse-content %}} {{% collapse-content title="2. Add the Datadog principal to your service account" level="h5" %}} -1. In Datadog, navigate to **Integrations** > [**Google Cloud Platform**][54]. +1. In Datadog, navigate to **Integrations** > [**Google Cloud Platform**][54]. 2. Click on **Add Google Cloud Account**. If you have no configured projects, you are automatically redirected to this page. - 3. If you have not generated a Datadog principal for your org, click the **Generate Principal** button. - 4. Copy your Datadog principal and keep it for the next section. {{< img src="integrations/google_cloud_platform/principal-2.png" alt="Datadog interface, showing the 'Add New GCP Account' flow. The first step, 'Add Datadog Principal to Google,' features a text box where a user can generate a Datadog Principal and copy it to their clipboard. The second step, 'Add Service Account Email,' features a text box that the user can complete in section 3." style="width:70%;">}} Keep this window open for Section 3. - 5. In the [Google Cloud console][55], under the **Service Accounts** menu, find the service account you created in Section 1. - 6. Go to the **Permissions** tab and click on **Grant Access**. {{< img src="integrations/google_cloud_platform/grant-access.png" alt="Google Cloud console interface, showing the Permissions tab under Service Accounts." style="width:70%;">}} - 7. Paste your Datadog principal into the **New principals** text box. - -8. Assign the role of **Service Account Token Creator** and click **Save**. - {{< img src="integrations/google_cloud_platform/add-principals-blurred.png" alt="Google Cloud console interface, showing an 'Add principals' box and an 'Assign roles' interface." style="width:70%;">}} +8. Click **Save**. **Note**: If you previously configured access using a shared Datadog principal, you can revoke the permission for that principal after you complete these steps. {{% /collapse-content %}} -{{% collapse-content title="3. Complete the integration setup in Datadog" level="h5" %}} -1. In your Google Cloud console, navigate to the **Service Account** > **Details** tab. On this page, find the email associated with this Google service account. It resembles `@.iam.gserviceaccount.com`. +{{% collapse-content title="3. Add the service account at the organization or folder level" level="h5" %}} -2. Copy this email. +1. In the Google Cloud console, go to the **IAM** page. +2. Select a folder or organization. +3. To grant a role to a principal that does not already have other roles on the resource, click **Grant Access**, then enter the email of the service account you created earlier. +4. Enter the service account's email address. +5. Assign the following roles: +- Compute Viewer +- Monitoring Viewer +- Cloud Asset Viewer +- Service Account Token Creator + {{< img src="integrations/google_cloud_platform/add-principals-blurred.png" alt="Google Cloud console interface, showing an 'Add principals' box and an 'Assign roles' interface." style="width:70%;">}} +6. Click **Save**. -3. Return to the integration configuration tile in Datadog (where you copied your Datadog principal in the previous section). +{{% /collapse-content %}} +{{% collapse-content title="4. Complete the integration setup in Datadog" level="h5" %}} +1. In your Google Cloud console, navigate to the **Service Account** > **Details** tab. On this page, find the email associated with this Google service account. It has the format `@.iam.gserviceaccount.com`. +2. Copy this email. +3. Return to the integration configuration tile in Datadog (where you copied your Datadog principal in the previous section). 4. In the box under **Add Service Account Email**, paste the email you previously copied. - 5. Click on **Verify and Save Account**. -{{% /collapse-content %}} -After finishing these steps, metrics will appear in Datadog after approximately **15 minutes**. - -{{% collapse-content title="(Optional) Assign roles to other projects" level="h5" %}} -Automatic project discovery simplifies the process of adding additional projects to be monitored. If you grant your service account access to other projects, folders, or orgs, Datadog discovers these projects (and any projects nested in the folders or orgs) and automatically adds them to your integration tile. - -1. Make sure you have the appropriate permissions to assign roles at the desired scope: -- Project IAM Admin (or higher) -- Folder Admin -- Organization Admin -2. In the Google Cloud console, go to the **IAM** page. -3. Select a project, folder, or organization. -4. To grant a role to a principal that does not already have other roles on the resource, click **Grant Access**, then enter the email of the service account you created earlier. -5. Assign the following roles: -- Compute Viewer -- Monitoring Viewer -- Cloud Asset Viewer (**Note**: The Browser role is only required in the default project of the service account). -6. Click **Save**. {{% /collapse-content %}} +After finishing these steps, metrics appear in Datadog after approximately **15 minutes**. + ## Metric collection -The Google Cloud integration collects [**all GA Google Cloud metrics**][17] from your projects through the Google Cloud Monitoring API. +The Google Cloud integration collects all available [Google Cloud metrics][17] from your projects through the Google Cloud Monitoring API. {{% collapse-content title="Click here for a sample of the Google Cloud metrics Datadog collects" level="h5" %}} | Integration | Description | @@ -205,14 +184,14 @@ To view your metrics, use the left menu to navigate to **Metrics** > **Summary** {{< img src="integrations/google_cloud_platform/gcp_metric_summary.png" style="width:100%;" >}} -### Filtering metric collection +### Limit metric collection filters Limit the GCE/GKE instances and Cloud Run revisions that are pulled into Datadog by entering tags in the **Limit Metric Collection Filters** text boxes under the **General** tab of the Google Cloud Integration tile. Only Google Cloud hosts with **labels** that match these defined tags are imported into Datadog. See Google's documentation on [Creating and managing labels][19] for more details on adding labels to your Google Cloud hosts. -In the below example, only Google Cloud hosts with the label `datadog:true` will be monitored by Datadog: +In the below example, only Google Cloud hosts with the label `datadog:true` are monitored by Datadog: {{< img src="integrations/google_cloud_platform/limit_metric_collection.mp4" video=true style="width:100%;" >}} @@ -225,9 +204,9 @@ datadog:true,env:production,!env:staging,instance-type:c1.* ## Log collection -Forward logs from your Google Cloud services to Datadog using [Google Cloud Dataflow][21] and the [Datadog template][22]. This method provides both compression and batching of events before they are forwarded to Datadog. +Use Google Cloud's [Pub/Sub to Datadog template][22] to batch and compress your log events before forwarding them to Datadog. The template leverages [Google Cloud Dataflow][21] for a high degree of network efficiency. -Follow [the instructions listed here][33] to set up Log Collection. +Follow [the instructions listed here][33] to set up Log Collection. For a deep dive into the benefits of the Pub/Sub to Datadog template, read [Stream your Google Cloud logs to Datadog with Dataflow][90] in the Datadog blog.
    Note: The Dataflow API must be enabled to use Google Cloud Dataflow. See Enabling APIs in the Google Cloud documentation for more information.
    @@ -235,8 +214,25 @@ Alternatively, to collect logs from applications running in GCE or GKE, you can ## Google Cloud integrations -The [Integrations page][26] provides a full listing of the available sub-integrations for Google Cloud. -Many of these integrations are installed by default when Datadog recognizes data being ingested in from your Google Cloud account. +You can send monitoring data to Datadog from 35+ integrations for Google Cloud services. The [Integrations page][26] provides a full listing of the available integrations. Many of these integrations are installed by default when Datadog recognizes data being ingested in from your Google Cloud account. + +See the blog links below for deep dives into monitoring many of the more popular services. + +{{% collapse-content title="Integration blogs" level="h5" %}} + +- [Cloud Armor][91] +- [BigQuery][92] +- [Cloud Run][93] +- [Cloud SQL][94] +- [Compute Engine][95] +- [Dataflow][96] +- [Eventarc][97] +- [Google Kubernetes Engine (GKE)][98] +- [Private Service Connect][99] +- [Security Command Center][100] +- [Vertex AI][101] + +{{% /collapse-content %}} ## Leveraging the Datadog Agent @@ -251,12 +247,10 @@ The Agent also supports a wide range of [integrations][29], enabling you to exte For the full list of benefits of installing the Agent on your cloud instances, see [Why should I install the Datadog Agent on my cloud instances?][27] - - ## Explore related services ### Private Service Connect -**(Only available in US5 & US1)** +**(Only available in US5 and EU1)** [Private Service Connect (PSC)][45] is a Google Cloud networking product that enables you to access [Google Cloud services][43], [third-party partner services][44], and company-owned applications directly from your Virtual Private Cloud (VPC). @@ -294,19 +288,16 @@ After setting up CSM, toggle the **Enable Resource Collection** option under the {{< img src="integrations/google_cloud_platform/gcp_resource_collection.png" style="width:100%;" >}} -### Database Monitoring (DBM) -Use [Database Monitoring (DBM)][49] to gain increased insight on performance metrics, host health and query samples for your Google Cloud SQL databases. - ## Further reading {{< partial name="whats-next/whats-next.html" >}} [1]: https://www.datadoghq.com/ [2]: https://cloud.google.com/iam/docs/service-accounts-create -[3]: https://docs.datadoghq.com/getting_started/integrations/google_cloud/#prerequisites -[4]: https://cloud.google.com/gcp?utm_source=google&utm_medium=cpc&utm_campaign=emea-ie-all-en-bkws-all-all-trial-b-gcp-1707574&utm_content=text-ad-none-any-DEV_c-CRE_669760174288-ADGP_Hybrid+%7C+BKWS+-+BRO+%7C+Txt+-+GCP+-+General+-+v3-KWID_43700077708210645-kwd-14471151-userloc_1007850&utm_term=KW_gcp-NET_g-PLAC_&&gad_source=1&gclid=Cj0KCQjwjY64BhCaARIsAIfc7YbR2kdAZ5vGSkq1FDDHkHRnzAX7KcFTlFxIfOUnS86LyRc9Y1TerXEaAmOMEALw_wcB&gclsrc=aw.ds&hl=en +[3]: /getting_started/integrations/google_cloud/#prerequisites +[4]: https://cloud.google.com/gcp [5]: https://cloud.google.com/iam/docs/service-account-overview#impersonation -[6]: https://docs.datadoghq.com/integrations/google_cloud_platform/?tab=project#setup +[6]: /integrations/google_cloud_platform/?tab=project#setup [7]: https://console.cloud.google.com/apis/library/monitoring.googleapis.com [8]: https://console.cloud.google.com/apis/library/compute.googleapis.com [9]: https://console.cloud.google.com/apis/library/cloudasset.googleapis.com @@ -318,73 +309,86 @@ Use [Database Monitoring (DBM)][49] to gain increased insight on performance met [15]: https://cloud.google.com/iam/docs/understanding-roles#compute.viewer [16]: https://cloud.google.com/iam/docs/understanding-roles#cloudasset.viewer [17]: https://cloud.google.com/monitoring/api/metrics_gcp -[18]: https://docs.datadoghq.com/integrations/guide/cloud-metric-delay/ +[18]: /integrations/guide/cloud-metric-delay/ [19]: https://cloud.google.com/compute/docs/labeling-resources [21]: https://cloud.google.com/dataflow [22]: https://cloud.google.com/dataflow/docs/guides/templates/provided/pubsub-to-datadog [23]: https://cloud.google.com/dataflow/docs/guides/templates/provided/pubsub-to-datadog [24]: https://cloud.google.com/apis/docs/getting-started#enabling_apis -[25]: https://docs.datadoghq.com/agent/ -[26]: https://docs.datadoghq.com/integrations/?q=google#all -[27]: https://docs.datadoghq.com/agent/guide/why-should-i-install-the-agent-on-my-cloud-instances/ -[28]: https://docs.datadoghq.com/integrations/gke/?tab=standard -[29]: https://docs.datadoghq.com/integrations/ -[30]: https://docs.datadoghq.com/developers/custom_checks/ -[31]: https://docs.datadoghq.com/tracing/ -[32]: https://docs.datadoghq.com/agent/logs/?tab=tailfiles -[33]: https://docs.datadoghq.com/integrations/google_cloud_platform/?tab=dataflowmethodrecommended#log-collection -[34]: https://docs.datadoghq.com/integrations/google_cloud_run/ -[35]: https://docs.datadoghq.com/integrations/google_cloud_run/#log-collection -[36]: https://docs.datadoghq.com/getting_started/cloud_siem/ +[25]: /agent/ +[26]: /integrations/?q=google#all +[27]: /agent/guide/why-should-i-install-the-agent-on-my-cloud-instances/ +[28]: /integrations/gke/?tab=standard +[29]: /integrations/ +[30]: /developers/custom_checks/ +[31]: /tracing/ +[32]: /agent/logs/?tab=tailfiles +[33]: /integrations/google_cloud_platform/?tab=dataflowmethodrecommended#log-collection +[34]: /integrations/google_cloud_run/ +[35]: /integrations/google_cloud_run/#log-collection +[36]: /getting_started/cloud_siem/ [37]: https://console.cloud.google.com/projectselector2/security/command-center/overview?supportedpurview=organizationId,folder,project -[38]: https://docs.datadoghq.com/integrations/google_cloud_security_command_center/#installation -[39]: https://docs.datadoghq.com/security/cloud_security_management/setup/ -[40]: https://docs.datadoghq.com/security/cloud_security_management/setup/cloud_integrations/?tab=googlecloud -[41]: https://docs.datadoghq.com/infrastructure/resource_catalog/ +[38]: /integrations/google_cloud_security_command_center/#installation +[39]: /security/cloud_security_management/setup/ +[40]: /security/cloud_security_management/setup/cloud_integrations/?tab=googlecloud +[41]: /infrastructure/resource_catalog/ [42]: https://cloud.google.com/monitoring/settings#:~:text=A%20scoping%20project%20hosts%20a,is%20also%20a%20scoping%20project. [43]: https://cloud.google.com/vpc/docs/private-service-connect-compatibility#google-services [44]: https://cloud.google.com/vpc/docs/private-service-connect-compatibility#third-party-services [45]: https://cloud.google.com/vpc/docs/private-service-connect -[46]: https://docs.datadoghq.com/integrations/google_cloud_private_service_connect/ -[47]: https://docs.datadoghq.com/developers/guide/data-collection-resolution-retention/#pagetitle:~:text=n/a-,Infrastructure,-Agent%20integrations +[46]: /integrations/google_cloud_private_service_connect/ +[47]: /developers/guide/data-collection-resolution-retention/#pagetitle:~:text=n/a-,Infrastructure,-Agent%20integrations [48]: http://docs.datadoghq.com/getting_started/integrations/google_cloud/#explore-related-products -[49]: https://docs.datadoghq.com/database_monitoring/ -[50]: https://docs.datadoghq.com/cloud_cost_management/ -[51]: https://docs.datadoghq.com/cloud_cost_management/google_cloud/ +[49]: /database_monitoring/ +[50]: /cloud_cost_management/ +[51]: /cloud_cost_management/google_cloud/ [53]: https://console.cloud.google.com/ [54]: https://app.datadoghq.com/integrations/google-cloud-platform [55]: https://console.cloud.google.com/ -[56]: https://docs.datadoghq.com/integrations/google_app_engine/ -[57]: https://docs.datadoghq.com/integrations/google_bigquery/ -[58]: https://docs.datadoghq.com/integrations/google_cloud_bigtable/ -[59]: https://docs.datadoghq.com/integrations/google_cloudsql/ -[60]: https://docs.datadoghq.com/integrations/google_cloud_apis/ -[61]: https://docs.datadoghq.com/integrations/google_cloud_armor/ -[62]: https://docs.datadoghq.com/integrations/google_cloud_composer/ -[63]: https://docs.datadoghq.com/integrations/google_cloud_dataproc/ -[64]: https://docs.datadoghq.com/integrations/google_cloud_dataflow/ -[65]: https://docs.datadoghq.com/integrations/google_cloud_filestore/ -[66]: https://docs.datadoghq.com/integrations/google_cloud_firestore/ -[67]: https://docs.datadoghq.com/integrations/google_cloud_interconnect/ -[68]: https://docs.datadoghq.com/integrations/google_cloud_iot/ -[69]: https://docs.datadoghq.com/integrations/google_cloud_loadbalancing/ -[70]: https://docs.datadoghq.com/integrations/google_stackdriver_logging/ -[71]: https://docs.datadoghq.com/integrations/google_cloud_redis/ -[72]: https://docs.datadoghq.com/integrations/google_cloud_router/ -[73]: https://docs.datadoghq.com/integrations/google_cloud_run/ -[74]: https://docs.datadoghq.com/integrations/google_cloud_security_command_center/ -[75]: https://docs.datadoghq.com/integrations/google_cloud_tasks/ -[76]: https://docs.datadoghq.com/integrations/google_cloud_tpu/ -[77]: https://docs.datadoghq.com/integrations/google_compute_engine/ -[78]: https://docs.datadoghq.com/integrations/google_container_engine/ -[79]: https://docs.datadoghq.com/integrations/google_cloud_datastore/ -[80]: https://docs.datadoghq.com/integrations/google_cloud_firebase/ -[81]: https://docs.datadoghq.com/integrations/google_cloud_functions/ -[82]: https://docs.datadoghq.com/integrations/google_kubernetes_engine/ -[83]: https://docs.datadoghq.com/integrations/google_cloud_ml/ -[84]: https://docs.datadoghq.com/integrations/google_cloud_private_service_connect/ -[85]: https://docs.datadoghq.com/integrations/google_cloud_pubsub/ -[86]: https://docs.datadoghq.com/integrations/google_cloud_spanner/ -[87]: https://docs.datadoghq.com/integrations/google_cloud_storage/ -[88]: https://docs.datadoghq.com/integrations/google_cloud_vertex_ai/ -[89]: https://docs.datadoghq.com/integrations/google_cloud_vpn/ +[56]: /integrations/google_app_engine/ +[57]: /integrations/google_bigquery/ +[58]: /integrations/google_cloud_bigtable/ +[59]: /integrations/google_cloudsql/ +[60]: /integrations/google_cloud_apis/ +[61]: /integrations/google_cloud_armor/ +[62]: /integrations/google_cloud_composer/ +[63]: /integrations/google_cloud_dataproc/ +[64]: /integrations/google_cloud_dataflow/ +[65]: /integrations/google_cloud_filestore/ +[66]: /integrations/google_cloud_firestore/ +[67]: /integrations/google_cloud_interconnect/ +[68]: /integrations/google_cloud_iot/ +[69]: /integrations/google_cloud_loadbalancing/ +[70]: /integrations/google_stackdriver_logging/ +[71]: /integrations/google_cloud_redis/ +[72]: /integrations/google_cloud_router/ +[73]: /integrations/google_cloud_run/ +[74]: /integrations/google_cloud_security_command_center/ +[75]: /integrations/google_cloud_tasks/ +[76]: /integrations/google_cloud_tpu/ +[77]: /integrations/google_compute_engine/ +[78]: /integrations/google_container_engine/ +[79]: /integrations/google_cloud_datastore/ +[80]: /integrations/google_cloud_firebase/ +[81]: /integrations/google_cloud_functions/ +[82]: /integrations/google_kubernetes_engine/ +[83]: /integrations/google_cloud_ml/ +[84]: /integrations/google_cloud_private_service_connect/ +[85]: /integrations/google_cloud_pubsub/ +[86]: /integrations/google_cloud_spanner/ +[87]: /integrations/google_cloud_storage/ +[88]: /integrations/google_cloud_vertex_ai/ +[89]: /integrations/google_cloud_vpn/ +[90]: https://www.datadoghq.com/blog/stream-logs-datadog-dataflow-template/ +[91]: https://www.datadoghq.com/blog/network-attacks-google-cloud-armor/ +[92]: https://www.datadoghq.com/blog/track-bigquery-costs-performance/ +[93]: https://www.datadoghq.com/blog/collect-traces-logs-from-cloud-run-with-datadog/ +[94]: https://www.datadoghq.com/blog/monitor-google-cloud-sql/ +[95]: https://www.datadoghq.com/blog/monitor-google-compute-engine-with-datadog/ +[96]: https://www.datadoghq.com/blog/monitor-dataflow-pipelines-with-datadog/ +[97]: https://www.datadoghq.com/blog/incident-response-eventarc-datadog/ +[98]: https://www.datadoghq.com/blog/monitor-google-kubernetes-engine/ +[99]: https://www.datadoghq.com/blog/google-cloud-private-service-connect/ +[100]: https://www.datadoghq.com/blog/datadog-google-security-command-center/ +[101]: https://www.datadoghq.com/blog/google-cloud-vertex-ai-monitoring-datadog/ +[102]: /integrations/google_cloud_platform/#setup From 99cb3f0bbaabb23ad79601b264055ca0b75341fd Mon Sep 17 00:00:00 2001 From: Bryce Eadie Date: Mon, 11 Nov 2024 15:59:54 -0800 Subject: [PATCH 44/50] (DOCS-8956) Move step --- .../en/getting_started/integrations/google_cloud.md | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index b2af14f6caa0f..ea3612b46dc33 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -82,7 +82,7 @@ After reviewing the above [Prerequisites][3], follow these step-by-step instruct - Monitoring Viewer - Compute Viewer - Cloud Asset Viewer -- Browser +- Browser (Only required in the default project of the service account) 6. Click **Continue**, then **Done** to complete creating the service account. {{< img src="integrations/google_cloud_platform/create-service-account.png" alt="Google Cloud console interface, showing the 'Create service account' flow. Under 'Grant this service account access to project', the four roles in the instructions are added." style="width:70%;">}} @@ -96,15 +96,16 @@ If you have no configured projects, you are automatically redirected to this pag 3. If you have not generated a Datadog principal for your org, click the **Generate Principal** button. 4. Copy your Datadog principal and keep it for the next section. -{{< img src="integrations/google_cloud_platform/principal-2.png" alt="Datadog interface, showing the 'Add New GCP Account' flow. The first step, 'Add Datadog Principal to Google,' features a text box where a user can generate a Datadog Principal and copy it to their clipboard. The second step, 'Add Service Account Email,' features a text box that the user can complete in section 3." style="width:70%;">}} +{{< img src="integrations/google_cloud_platform/principal-2.png" alt="Datadog interface, showing the 'Add New GCP Account' flow. The first step, 'Add Datadog Principal to Google,' features a text box where a user can generate a Datadog Principal and copy it to their clipboard. The second step, 'Add Service Account Email,' features a text box that the user can complete in section 4." style="width:70%;">}} -Keep this window open for Section 3. +Keep this window open for Section 4. 5. In the [Google Cloud console][55], under the **Service Accounts** menu, find the service account you created in Section 1. 6. Go to the **Permissions** tab and click on **Grant Access**. {{< img src="integrations/google_cloud_platform/grant-access.png" alt="Google Cloud console interface, showing the Permissions tab under Service Accounts." style="width:70%;">}} 7. Paste your Datadog principal into the **New principals** text box. -8. Click **Save**. +8. Assign the role of **Service Account Token Creator**. +9. Click **Save**. **Note**: If you previously configured access using a shared Datadog principal, you can revoke the permission for that principal after you complete these steps. {{% /collapse-content %}} @@ -119,7 +120,7 @@ Keep this window open for Section 3. - Compute Viewer - Monitoring Viewer - Cloud Asset Viewer -- Service Account Token Creator + {{< img src="integrations/google_cloud_platform/add-principals-blurred.png" alt="Google Cloud console interface, showing an 'Add principals' box and an 'Assign roles' interface." style="width:70%;">}} 6. Click **Save**. From ef7e4b7e2942350d177409de8465cf03bfd6969e Mon Sep 17 00:00:00 2001 From: Bryce Eadie Date: Mon, 11 Nov 2024 16:17:19 -0800 Subject: [PATCH 45/50] (DOCS-8956) Remove duplicated image --- content/en/getting_started/integrations/google_cloud.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index ea3612b46dc33..ea4b527e2e528 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -120,8 +120,6 @@ Keep this window open for Section 4. - Compute Viewer - Monitoring Viewer - Cloud Asset Viewer - - {{< img src="integrations/google_cloud_platform/add-principals-blurred.png" alt="Google Cloud console interface, showing an 'Add principals' box and an 'Assign roles' interface." style="width:70%;">}} 6. Click **Save**. {{% /collapse-content %}} From bb8b1cf8895bae741e621e250a10fff2a22bd911 Mon Sep 17 00:00:00 2001 From: Bryce Eadie Date: Wed, 20 Nov 2024 17:38:59 -0800 Subject: [PATCH 46/50] (DOCS-8956) Add Google Cloud integrations shortcode --- .../shortcodes/google-cloud-integrations.md | 72 +++++++++++++++++++ 1 file changed, 72 insertions(+) create mode 100644 layouts/shortcodes/google-cloud-integrations.md diff --git a/layouts/shortcodes/google-cloud-integrations.md b/layouts/shortcodes/google-cloud-integrations.md new file mode 100644 index 0000000000000..c00809b570d3a --- /dev/null +++ b/layouts/shortcodes/google-cloud-integrations.md @@ -0,0 +1,72 @@ +| Integration | Description | +|-------------------------------------|---------------------------------------------------------------------------------------| +| [App Engine][1] | PaaS (platform as a service) to build scalable applications | +| [Big Query][2] | Enterprise data warehouse | +| [Bigtable][3] | NoSQL Big Data database service | +| [Cloud SQL][4] | MySQL database service | +| [Cloud APIs][5] | Programmatic interfaces for all Google Cloud Platform services | +| [Cloud Armor][33] | Network security service to help protect against denial of service and web attacks | +| [Cloud Composer][6] | A fully managed workflow orchestration service | +| [Cloud Dataproc][7] | A cloud service for running Apache Spark and Apache Hadoop clusters | +| [Cloud Dataflow][32] | A fully-managed service for transforming and enriching data in stream and batch modes | +| [Cloud Filestore][8] | High-performance, fully managed file storage | +| [Cloud Firestore][9] | A flexible, scalable database for mobile, web, and server development | +| [Cloud Interconnect][10] | Hybrid connectivity | +| [Cloud IoT][11] | Secure device connection and management | +| [Cloud Load Balancing][12] | Distribute load-balanced compute resources | +| [Cloud Logging][26] | Real-time log management and analysis | +| [Cloud Memorystore for Redis][13] | A fully managed in-memory data store service | +| [Cloud Router][14] | Exchange routes between your VPC and on-premises networks by using BGP | +| [Cloud Run][15] | Managed compute platform that runs stateless containers through HTTP | +| [Cloud Security Command Center][31] | Security Command Center is a threat reporting service. | +| [Cloud Tasks][16] | Distributed task queues | +| [Cloud TPU][17] | Train and run machine learning models | +| [Compute Engine][18] | High performance virtual machines | +| [Container Engine][19] | Kubernetes, managed by google | +| [Datastore][20] | NoSQL database | +| [Firebase][21] | Mobile platform for application development | +| [Functions][22] | Serverless platform for building event-based microservices | +| [Kubernetes Engine][29] | Cluster manager and orchestration system | +| [Machine Learning][23] | Machine learning services | +| [Private Service Connect][34] | Access managed services with private VPC connections | +| [Pub/Sub][24] | Real-time messaging service | +| [Spanner][25] | Horizontally scalable, globally consistent, relational database service | +| [Storage][27] | Unified object storage | +| [Vertex AI][30] | Build, train and deploy custom machine learning (ML) models. | +| [VPN][28] | Managed network functionality | + + +[1]: https://docs.datadoghq.com/integrations/google_app_engine/ +[2]: https://docs.datadoghq.com/integrations/google_bigquery/ +[3]: https://docs.datadoghq.com/integrations/google_cloud_bigtable/ +[4]: https://docs.datadoghq.com/integrations/google_cloudsql/ +[5]: https://docs.datadoghq.com/integrations/google_cloud_apis/ +[6]: https://docs.datadoghq.com/integrations/google_cloud_composer/ +[7]: https://docs.datadoghq.com/integrations/google_cloud_dataproc/ +[8]: https://docs.datadoghq.com/integrations/google_cloud_filestore/ +[9]: https://docs.datadoghq.com/integrations/google_cloud_firestore/ +[10]: https://docs.datadoghq.com/integrations/google_cloud_interconnect/ +[11]: https://docs.datadoghq.com/integrations/google_cloud_iot/ +[12]: https://docs.datadoghq.com/integrations/google_cloud_loadbalancing/ +[13]: https://docs.datadoghq.com/integrations/google_cloud_redis/ +[14]: https://docs.datadoghq.com/integrations/google_cloud_router/ +[15]: https://docs.datadoghq.com/integrations/google_cloud_run/ +[16]: https://docs.datadoghq.com/integrations/google_cloud_tasks/ +[17]: https://docs.datadoghq.com/integrations/google_cloud_tpu/ +[18]: https://docs.datadoghq.com/integrations/google_compute_engine/ +[19]: https://docs.datadoghq.com/integrations/google_container_engine/ +[20]: https://docs.datadoghq.com/integrations/google_cloud_datastore/ +[21]: https://docs.datadoghq.com/integrations/google_cloud_firebase/ +[22]: https://docs.datadoghq.com/integrations/google_cloud_functions/ +[23]: https://docs.datadoghq.com/integrations/google_cloud_ml/ +[24]: https://docs.datadoghq.com/integrations/google_cloud_pubsub/ +[25]: https://docs.datadoghq.com/integrations/google_cloud_spanner/ +[26]: https://docs.datadoghq.com/integrations/google_stackdriver_logging/ +[27]: https://docs.datadoghq.com/integrations/google_cloud_storage/ +[28]: https://docs.datadoghq.com/integrations/google_cloud_vpn/ +[29]: https://docs.datadoghq.com/integrations/google_kubernetes_engine/ +[30]: https://docs.datadoghq.com/integrations/google_cloud_vertex_ai/ +[31]: https://docs.datadoghq.com/integrations/google_cloud_security_command_center/ +[32]: https://docs.datadoghq.com/integrations/google_cloud_dataflow/ +[33]: https://docs.datadoghq.com/integrations/google_cloud_armor/ +[34]: https://docs.datadoghq.com/integrations/google_cloud_private_service_connect/ \ No newline at end of file From 6e108282d71023c3487f7a52343cff616cfe8010 Mon Sep 17 00:00:00 2001 From: Bryce Eadie Date: Wed, 20 Nov 2024 17:39:33 -0800 Subject: [PATCH 47/50] (DOCS-8956) Add integrations shortcode --- .../integrations/google_cloud.md | 37 +------------------ 1 file changed, 1 insertion(+), 36 deletions(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index ea4b527e2e528..dbff6df48d652 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -140,42 +140,7 @@ After finishing these steps, metrics appear in Datadog after approximately **15 The Google Cloud integration collects all available [Google Cloud metrics][17] from your projects through the Google Cloud Monitoring API. {{% collapse-content title="Click here for a sample of the Google Cloud metrics Datadog collects" level="h5" %}} -| Integration | Description | -|-------------------------------------|---------------------------------------------------------------------------------------| -| [App Engine][56] | PaaS (platform as a service) to build scalable applications | -| [Big Query][57] | Enterprise data warehouse | -| [Bigtable][58] | NoSQL Big Data database service | -| [Cloud SQL][59] | MySQL database service | -| [Cloud APIs][60] | Programmatic interfaces for all Google Cloud Platform services | -| [Cloud Armor][61] | Network security service to help protect against denial of service and web attacks | -| [Cloud Composer][62] | A fully managed workflow orchestration service | -| [Cloud Dataproc][63] | A cloud service for running Apache Spark and Apache Hadoop clusters | -| [Cloud Dataflow][64] | A fully-managed service for transforming and enriching data in stream and batch modes | -| [Cloud Filestore][65] | High-performance, fully managed file storage | -| [Cloud Firestore][66] | A flexible, scalable database for mobile, web, and server development | -| [Cloud Interconnect][67] | Hybrid connectivity | -| [Cloud IoT][68] | Secure device connection and management | -| [Cloud Load Balancing][69] | Distribute load-balanced compute resources | -| [Cloud Logging][70] | Real-time log management and analysis | -| [Cloud Memorystore for Redis][71] | A fully managed in-memory data store service | -| [Cloud Router][72] | Exchange routes between your VPC and on-premises networks by using BGP | -| [Cloud Run][73] | Managed compute platform that runs stateless containers through HTTP | -| [Cloud Security Command Center][74] | Security Command Center is a threat reporting service. | -| [Cloud Tasks][75] | Distributed task queues | -| [Cloud TPU][76] | Train and run machine learning models | -| [Compute Engine][77] | High performance virtual machines | -| [Container Engine][78] | Kubernetes, managed by Google | -| [Datastore][79] | NoSQL database | -| [Firebase][80] | Mobile platform for application development | -| [Functions][81] | Serverless platform for building event-based microservices | -| [Kubernetes Engine][82] | Cluster manager and orchestration system | -| [Machine Learning][83] | Machine learning services | -| [Private Service Connect][84] | Access managed services with private VPC connections | -| [Pub/Sub][85] | Real-time messaging service | -| [Spanner][86] | Horizontally scalable, globally consistent, relational database service | -| [Storage][87] | Unified object storage | -| [Vertex AI][88] | Build, train and deploy custom machine learning (ML) models. | -| [VPN][89] | Managed network functionality | +{{% google-cloud-integrations %}} {{% /collapse-content %}} You can find your Google Cloud metrics in the Metrics Summary page in the Datadog platform. From 0493d5430032e1bcf23439a28a17301b954e2c92 Mon Sep 17 00:00:00 2001 From: Bryce Eadie Date: Wed, 20 Nov 2024 17:42:38 -0800 Subject: [PATCH 48/50] (DOCS-8956) Reword sentence --- content/en/getting_started/integrations/google_cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index dbff6df48d652..9cc8429e43364 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -68,7 +68,7 @@ This guide provides an overview of how to get started with the Datadog Google Cl ## Setup -For simplicity of setup, and to ensure there are no gaps in your monitoring, integrate Datadog with [Google Cloud][4] using [service account impersonation][5] at the organization or folder level. +For the most comprehensive level of monitoring in your Google Cloud environment, integrate Datadog with [Google Cloud][4] using [service account impersonation][5] at the organization or folder level. After reviewing the above [Prerequisites][3], follow these step-by-step instructions to set up the Google Cloud integration: From 795aca7b1e3c90047896eb1d2b8da05aacaebf3d Mon Sep 17 00:00:00 2001 From: Bryce Eadie Date: Wed, 20 Nov 2024 17:44:09 -0800 Subject: [PATCH 49/50] Update content/en/getting_started/integrations/google_cloud.md Co-authored-by: Dan T <139813809+dtru-ddog@users.noreply.github.com> --- content/en/getting_started/integrations/google_cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index 9cc8429e43364..10576f05b5b25 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -32,7 +32,7 @@ further_reading: ## Overview -Integrating your Google Cloud projects with Datadog allows you to monitor your GCE and GKE compute instances within the Datadog platform. +Integrating your Google Cloud projects with Datadog allows you to monitor your Google Cloud services within the Datadog platform. This guide provides an overview of how to get started with the Datadog Google Cloud integration. ## Prerequisites From dfab8bd246f21c64fe80a911f35bd94b4e605476 Mon Sep 17 00:00:00 2001 From: Bryce Eadie Date: Thu, 5 Dec 2024 12:11:57 -0800 Subject: [PATCH 50/50] (DOCS-8956) Update step order --- .../integrations/google_cloud.md | 57 ++++++++----------- 1 file changed, 25 insertions(+), 32 deletions(-) diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index 10576f05b5b25..b0bf3cc49e617 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -72,37 +72,45 @@ For the most comprehensive level of monitoring in your Google Cloud environment, After reviewing the above [Prerequisites][3], follow these step-by-step instructions to set up the Google Cloud integration: -{{% collapse-content title=" 1. Create a Google Cloud service account in the default project" level="h5" %}} - +{{% collapse-content title="1. Create a Google Cloud service account in the default project" level="h5" %}} 1. Open your [Google Cloud console][53]. 2. Navigate to **IAM & Admin** > **Service Accounts**. -3. Click on **Create service account** at the top. -4. Give the service account a unique name, then click **Create and continue**. -5. Add the following roles to the service account: -- Monitoring Viewer +3. Click **Create service account** at the top. +4. Give the service account a unique name. +5. Click **Done** to complete creating the service account. +{{% /collapse-content %}} + +{{% collapse-content title="2. Add the service account at the organization or folder level" level="h5" %}} +1. In the Google Cloud console, go to the **IAM** page. +2. Select a folder or organization. +3. To grant a role to a principal that does not already have other roles on the resource, click **Grant Access**, then enter the email of the service account you created earlier. +4. Enter the service account's email address. +5. Assign the following roles: - Compute Viewer +- Monitoring Viewer - Cloud Asset Viewer -- Browser (Only required in the default project of the service account) -6. Click **Continue**, then **Done** to complete creating the service account. - -{{< img src="integrations/google_cloud_platform/create-service-account.png" alt="Google Cloud console interface, showing the 'Create service account' flow. Under 'Grant this service account access to project', the four roles in the instructions are added." style="width:70%;">}} -{{% /collapse-content %}} +- Browser +6. Click **Save**. -{{% collapse-content title="2. Add the Datadog principal to your service account" level="h5" %}} +**Note**: The `Browser` role is only required in the default project of the service account. Other projects require only the other listed roles. +{{% /collapse-content %}} +{{% collapse-content title="3. Add the Datadog principal to your service account" level="h5" %}} 1. In Datadog, navigate to **Integrations** > [**Google Cloud Platform**][54]. -2. Click on **Add Google Cloud Account**. +2. Click **Add Google Cloud Account**. If you have no configured projects, you are automatically redirected to this page. 3. If you have not generated a Datadog principal for your org, click the **Generate Principal** button. 4. Copy your Datadog principal and keep it for the next section. {{< img src="integrations/google_cloud_platform/principal-2.png" alt="Datadog interface, showing the 'Add New GCP Account' flow. The first step, 'Add Datadog Principal to Google,' features a text box where a user can generate a Datadog Principal and copy it to their clipboard. The second step, 'Add Service Account Email,' features a text box that the user can complete in section 4." style="width:70%;">}} -Keep this window open for Section 4. +**Note**: Keep this window open for Section 4. + 5. In the [Google Cloud console][55], under the **Service Accounts** menu, find the service account you created in Section 1. -6. Go to the **Permissions** tab and click on **Grant Access**. +6. Go to the **Permissions** tab and click **Grant Access**. + +{{< img src="integrations/google_cloud_platform/grant-access.png" alt="Google Cloud console interface, showing the Permissions tab under Service Accounts." style="width:70%;">}} - {{< img src="integrations/google_cloud_platform/grant-access.png" alt="Google Cloud console interface, showing the Permissions tab under Service Accounts." style="width:70%;">}} 7. Paste your Datadog principal into the **New principals** text box. 8. Assign the role of **Service Account Token Creator**. 9. Click **Save**. @@ -110,27 +118,12 @@ Keep this window open for Section 4. **Note**: If you previously configured access using a shared Datadog principal, you can revoke the permission for that principal after you complete these steps. {{% /collapse-content %}} -{{% collapse-content title="3. Add the service account at the organization or folder level" level="h5" %}} - -1. In the Google Cloud console, go to the **IAM** page. -2. Select a folder or organization. -3. To grant a role to a principal that does not already have other roles on the resource, click **Grant Access**, then enter the email of the service account you created earlier. -4. Enter the service account's email address. -5. Assign the following roles: -- Compute Viewer -- Monitoring Viewer -- Cloud Asset Viewer -6. Click **Save**. - -{{% /collapse-content %}} - {{% collapse-content title="4. Complete the integration setup in Datadog" level="h5" %}} 1. In your Google Cloud console, navigate to the **Service Account** > **Details** tab. On this page, find the email associated with this Google service account. It has the format `@.iam.gserviceaccount.com`. 2. Copy this email. 3. Return to the integration configuration tile in Datadog (where you copied your Datadog principal in the previous section). 4. In the box under **Add Service Account Email**, paste the email you previously copied. -5. Click on **Verify and Save Account**. - +5. Click **Verify and Save Account**. {{% /collapse-content %}} After finishing these steps, metrics appear in Datadog after approximately **15 minutes**.