From 192477b377651f2c16fba1cbe34ba5e26aef51e1 Mon Sep 17 00:00:00 2001 From: Kathy L Date: Wed, 3 Jan 2024 16:34:25 -0500 Subject: [PATCH 01/23] Create volume_management page for Metris --- content/en/metrics/volume_management | 188 +++++++++++++++++++++++++++ 1 file changed, 188 insertions(+) create mode 100644 content/en/metrics/volume_management diff --git a/content/en/metrics/volume_management b/content/en/metrics/volume_management new file mode 100644 index 0000000000000..3b5a8da639cdf --- /dev/null +++ b/content/en/metrics/volume_management @@ -0,0 +1,188 @@ +--- +title: Metrics Volume Management Page +kind: documentation +description: "Understand and manage your custom metrics usage and costs." +further_reading: + - link: "/metrics/summary/" + tag: "Documentation" + text: "Metrics Summary" + - link: "/metrics/metrics-without-limits/" + tag: "Documentation" + text: "Metrics without Limits™" + +--- + +## Overview +Cloud-based applications can generate massive amounts of data. And as your organization or business scales, you'll naturally have more teams that want and need to submit more data to provide better coverage of how your business is doing. But this growth can be daunting and uncontrollable for organizations; especially core observability teams within these organizations that are responsible for managing their organization's overall observability spend and responsible for resolving sudden spikes and overages to not burn through their budget. Observability costs are becoming a significant budget item but the core observability team does not have visibility into what is truly valuable to each individual engineering team. Meanwhile, even though the teams creating the data are promoting a culture of deep observability, they have limited insights into the costs of the metrics/tags they're submitting; therefore, they're less incentivized to be proactive in controlling this growth. + +It is crucial for everyone to have visibility into their usage and feel empowered to take ownership of managing those volumes and associated costs. Datadog recognizes that not all your metrics are equally valuable at every moment, so we were the first in the industry to introduce Datadog's Metrics without LimitsTM which provides you flexibility by decoupling metric ingestion from indexing; allowing you to configure metrics to reduce costs through aggregation while preserving the mathematical accuracy of your configured metrics (all within our platform without any code-level changes). But it is also critical to balance the use of Metrics without Limits to reduce costs of metrics with the value those metrics may bring to your organization. + +Datadog's Metrics Volume Management page provides an out-of-the-box view of both your custom metrics' value, volume and costs in real-time so any developer in your organization can quickly identify the root causes of any volume spikes, which impact your bill, and be empowered to remediate those potentially inadvertent spikes faster without sacrificing the core observability that your teams' rely on. + +This volume management page provides all users real-time answers to the following questions: + - Which metric names are causing my custom metrics bill to spike? + - What are my organization's largest custom metrics? + - Are these high cardinality custom metric names actually queried and valuable to my team? + - What metric names have spiked recently in the past timeframe of my choosing? (i.e. past day or month) + - I'm on `team:X` and responsible for optimizing my team's metrics based on internal chargebacks - which metrics should I focus my cost-optimization efforts on? + - How can my team better utilize our existing metrics to get more value from our observability spend? + +------------ copied from Metrics Summary -------- +## Facet panel + +The search bars provide the most comprehensive set of actions to filter the list of metrics. But facets can also filter your metrics by: + +- **Configuration**: Metrics with tag configurations +- **Percentiles**: Distribution metrics enabled by percentiles/advanced query capabilities +- **Historical Metrics**: Metrics that have historical metrics ingestion enabled +- **Query Activity** (Beta): Metrics not queried in the app or by the API in the past 30 days +- **Metric Type**: Differentiate between distribution and non-distribution metrics (counts, gauges, rates) +- **Distribution Metric Origin**: The product from which the metric originated (for example, metrics generated from Logs or APM Spans) + +{{< img src="metrics/summary/facets3.jpg" alt="Metrics Facet Panel" style="width:75%;">}} + + +## Configuration of multiple metrics +There are two buttons that allow you to configure multiple metrics at a time: + +{{< img src="metrics/summary/configurationbuttons2.png" alt="Bulk Configuration Buttons" style="width:75%;">}} + +* **Calculate Percentiles**: Add percentile aggregations to multiple distribution metrics. + +{{< img src="metrics/summary/bulkpercentiles.jpg" alt="Bulk Percentiles" style="width:75%;">}} + +* **Configure Tags**: Configure tags on multiple custom metrics matching a namespace using Metrics without Limits™ + +{{< img src="metrics/summary/bulkconfig_new-compressed.mp4" alt="Bulk Metric Tag Configuration" video="true" style="width:100%;" >}} + + +## Metric details sidepanel + +Click on any metric name to display its details sidepanel for more information regarding the metric's metadata and tags: + +{{< img src="metrics/summary/mwl_sidepanel.jpg" alt="Metric panel" style="width:75%;">}} + +### Metric name + +The name of your metric in the [Metrics Explorer][2], [dashboards][3], etc. + +### Ingested custom metrics + +A metric name may emit multiple ingested custom metrics depending on its associated tag value combinations. Ingested custom metrics represent all of the data originally submitted with code. + +Learn more in the [custom metrics][4] documentation. + +### Indexed custom metrics + +Unlike ingested custom metrics, indexed custom metrics represent those that remain queryable across the Datadog platform. This number may be impacted by adding or removing percentile aggregations or by use of Metrics without Limits™. Learn more in the [Metrics without Limits™][10] documentation. + +### Hosts + +The total number of hosts reporting a metric. + +### Tag values + +The total number of unique tag values attached to a metric. + +[Learn more about tagging][5]. + +### Metrics metadata + +The metadata attached to your metric. Most of the metadata can be edited on the metric summary page or with the [Datadog API][6]. + +#### Metric unit + +The unit for your metric (byte, second, request, query, etc.). See the [metric unit][7] page for more details. + +When submitting custom metrics to Datadog, it is possible to change the [unit of measurement][1] that displays when hovering over the metric in your graph. + +**Note**: This does not change how a metric graph is displayed. It only changes the units of measurement that raw values are considered as when you hover over a metric. Formatting is automatically applied for readability. For example, bytes (`B`) may be displayed as kilobytes (`KiB`). + +#### Metric type + +The type for your metric (gauge, rate, count, distribution). See the [metric type][8] page for more details. + +**Warning**: Editing the metric type changes that metric's behavior for **ALL** your dashboards and monitors. + +#### Integration name + +If the metric is coming from a supported [integration][9], the metadata lists the integration name. This information cannot be edited. + +#### Interval + +The collection interval for the metric in seconds. + +#### Metric description + +The metric description helps you understand what a metric does. Descriptions are pre-populated for metrics coming from supported [integrations][9]. Use this field to update the descriptions for your [custom metrics][4]. + +### Tags table + +The tags table offers multiple ways to explore all of the tag keys and tag values that are actively reporting in your metric's data. + +Use the tags table to: + +- Sort tag keys by the **Count column** (count of unique tag values). +- Search through the paginated table of tags for a particular tag key. +- Export the tags table as a downloadable CSV. +- Toggle between tags you've configured on your metric vs the metric's originally submitted tags + +For any particular tag key, you can: + +- Inspect all tag values of that tag key. +- Use a specific tag `key:value` to further filter the list of metrics displayed on the Metrics Summary page. +- Open a graph of this metric filtered by your tag `key:value` pair in the Metrics Explorer. +- Copy any tag `key:value` for filtering across the application. + +{{< img src="metrics/summary/updated_tags_table.mp4" alt="Tags Table" video=true style="width:75%;">}} + +[Learn more about tagging][5]. + +## Metrics without Limits™ +Metrics without Limits™ provides you control over the size of your custom metrics without requiring any agent or code-level changes. + +**Note:** Metrics without Limits™ is only available for custom metrics. + +You can configure tags using the bulk metric tag configuration button or the **Manage Tags** button in a metric's details side panel. + +{{< img src="metrics/distributions/managetags.png" alt="Configuring tags on a distribution" style="width:80%;">}} + +1. Click on your custom distribution metric name in the **Metrics Summary** table to open the metrics details side panel. +2. Click the **Manage Tags** button to open the tag configuration modal. + +3. Select **Include tags...** or **Exclude tags...** to customize the tags you do or don't want to query for. For more information on tag configuration, see the [Metrics without Limits][10] documentation. +4. Preview the effects of your proposed tag configuration with the cardinality estimator before selecting **Save**. + +**Note**: The cardinality estimator requires the metric to be older than 48 hours. + +### Queryable tags + +Once your metric has been configured with Metrics without Limits™, you can view which tags remain Queryable -- ultimately those that contribute to _Indexed Custom Metrics_ volume. And you can toggle back to all originally submitted and ingested tags that contribute to your _Ingested Custom Metrics_ volume. + +### Optimize your metric with aggregations in Advanced Mode + +For custom metrics of the count, gauge, or rate metric type, you can further refine your metric's configurations by optionally including additional aggregations with the advanced mode of Metrics without Limits™. By default, Datadog stores the most frequently queried aggregation combination depending on the metric's type to preserve the mathematical accuracy of your configured metric's query as listed below: + +- Configured counts/rates are queryable with time/space aggregations of `SUM` +- Configured gauges are queryable in time/space aggregations of `AVG` + +{{< img src="metrics/summary/customize_aggr_docs.jpg" alt="Refine aggregations on counts, rates, and gauges" style="width:80%;">}} + +More aggregations are available should they be valuable to you. You can add or remove aggregations at any time with no required Agent or code-level changes. + +**Note**: Configuring your count, rate, or gauge metric and removing an aggregation may impact existing dashboards and monitors. + +## Further reading + +{{< partial name="whats-next/whats-next.html" >}} + +[10]: /metrics/metrics-without-limits +[1]: https://app.datadoghq.com/metric/summary +[2]: /metrics/explorer/ +[3]: /dashboards/ +[4]: /metrics/custom_metrics/ +[5]: /getting_started/tagging/ +[6]: /api/v1/metrics/#edit-metric-metadata +[7]: /metrics/units/ +[8]: /metrics/types/ +[9]: /integrations/ From 8e1b096e1dc590a1d38fabb4ad910338b54d807a Mon Sep 17 00:00:00 2001 From: Kathy L Date: Wed, 3 Jan 2024 16:52:44 -0500 Subject: [PATCH 02/23] Update volume_management --- content/en/metrics/volume_management | 22 +++++++++++++++++++--- 1 file changed, 19 insertions(+), 3 deletions(-) diff --git a/content/en/metrics/volume_management b/content/en/metrics/volume_management index 3b5a8da639cdf..fe0486b660a92 100644 --- a/content/en/metrics/volume_management +++ b/content/en/metrics/volume_management @@ -15,18 +15,34 @@ further_reading: ## Overview Cloud-based applications can generate massive amounts of data. And as your organization or business scales, you'll naturally have more teams that want and need to submit more data to provide better coverage of how your business is doing. But this growth can be daunting and uncontrollable for organizations; especially core observability teams within these organizations that are responsible for managing their organization's overall observability spend and responsible for resolving sudden spikes and overages to not burn through their budget. Observability costs are becoming a significant budget item but the core observability team does not have visibility into what is truly valuable to each individual engineering team. Meanwhile, even though the teams creating the data are promoting a culture of deep observability, they have limited insights into the costs of the metrics/tags they're submitting; therefore, they're less incentivized to be proactive in controlling this growth. -It is crucial for everyone to have visibility into their usage and feel empowered to take ownership of managing those volumes and associated costs. Datadog recognizes that not all your metrics are equally valuable at every moment, so we were the first in the industry to introduce Datadog's Metrics without LimitsTM which provides you flexibility by decoupling metric ingestion from indexing; allowing you to configure metrics to reduce costs through aggregation while preserving the mathematical accuracy of your configured metrics (all within our platform without any code-level changes). But it is also critical to balance the use of Metrics without Limits to reduce costs of metrics with the value those metrics may bring to your organization. +It is crucial for everyone to have visibility into their usage and feel empowered to take ownership of managing those volumes and associated costs. Datadog recognizes that not all your metrics are equally valuable at every moment, so we were the first in the industry to introduce Datadog's Metrics without LimitsTM [link] which provides you flexibility by decoupling metric ingestion from indexing; allowing you to configure metrics to reduce costs through aggregation while preserving the mathematical accuracy of your configured metrics (all within our platform without any code-level changes). But it is also critical to balance the use of Metrics without Limits to reduce costs of metrics with understanding of value those metrics may bring to your organization. -Datadog's Metrics Volume Management page provides an out-of-the-box view of both your custom metrics' value, volume and costs in real-time so any developer in your organization can quickly identify the root causes of any volume spikes, which impact your bill, and be empowered to remediate those potentially inadvertent spikes faster without sacrificing the core observability that your teams' rely on. +Datadog's Metrics Volume Management page [link] (beta banner here) provides an out-of-the-box view of both your custom metrics' value, volume and therefore, costs in real-time so any developer in your organization can quickly identify the root causes of any volume spikes, which impact your bill, and be empowered to remediate those potentially inadvertent spikes faster without sacrificing the core observability that your teams' rely on. This volume management page provides all users real-time answers to the following questions: - Which metric names are causing my custom metrics bill to spike? - What are my organization's largest custom metrics? - Are these high cardinality custom metric names actually queried and valuable to my team? - What metric names have spiked recently in the past timeframe of my choosing? (i.e. past day or month) - - I'm on `team:X` and responsible for optimizing my team's metrics based on internal chargebacks - which metrics should I focus my cost-optimization efforts on? + - I'm on `team:X` and responsible for optimizing my team's metrics based on internal chargebacks - which metrics do I own? +- I'm on `team:X` and responsible for optimizing my team's metrics based on internal chargebacks - which ones should I focus my cost-optimization efforts on? - How can my team better utilize our existing metrics to get more value from our observability spend? +{{< img src="metrics/volume/overview.jpg" alt="Metrics Volume Management Page" style="width:75%;">}} + +## Identifying drivers of your account's custom metrics bill spikes +As a quick refresher, insights on your overall account's usage and monthly bill for custom metrics can viewed on the Plan&Usage page [link], such as your monthly Custom Metrics usage, costs, burn rate and Top Custom Metrics. The Usage Attribution feature [] also provides a breakdown of your overall account's bill by any arbitrary dimension of your choosing; for example, team:X emits a volume of 10K custom metrics. However, as we stated earlier, all developers should have visibility into which metrics are driving their bill spikes in real-time and feel confident that their cost optimization efforts won't sacrifice another team's visibility. + +Therefore, the Metrics Volume Management page provides all users (not just ones with Admin roles) with real-time, OOTB insights such as: +- Top 500 Metric Names by Estimated Real-time Cardinality -- Quickly identify the top 500 metric names by cardinality/volume by clicking on the "Est. Custom Metrics" +- Top 500 Metric Names by Change in Volume -- Quickly discover the top 500 metric names that have the greatest variance in their cardinality -- these metrics may have anomalously (potentially unintentionally) spiked in the timeframe of your choosing. If you've received an alert on your account's estimated real-time custom metrics usage, you can use this to quickly pinpoint the culprits tied to that spike. + +## Understanding whether these metrics provide value to your organization +Now that you've identified your largest metrics or spiking metric names likely causing your account's custom metric spike, you'll need to understand the utility of this data in order to safely use Metrics without Limits to effectively reduce the costs of those metric names. + + + + ------------ copied from Metrics Summary -------- ## Facet panel From 26fcd1116d47aae97ec144ce69980be55711a45d Mon Sep 17 00:00:00 2001 From: Kathy L Date: Fri, 23 Feb 2024 15:00:22 -0500 Subject: [PATCH 03/23] Update volume_management Added related assets / unqueried metrics sections --- content/en/metrics/volume_management | 38 +++++++++++++++++++++++----- 1 file changed, 31 insertions(+), 7 deletions(-) diff --git a/content/en/metrics/volume_management b/content/en/metrics/volume_management index fe0486b660a92..17049105c27b7 100644 --- a/content/en/metrics/volume_management +++ b/content/en/metrics/volume_management @@ -11,34 +11,58 @@ further_reading: text: "Metrics without Limits™" --- +(beta banner here: The Metrics Volume Management Page is currently in private beta. For access to this beta feature, please contact your Customer Success Representative) ## Overview -Cloud-based applications can generate massive amounts of data. And as your organization or business scales, you'll naturally have more teams that want and need to submit more data to provide better coverage of how your business is doing. But this growth can be daunting and uncontrollable for organizations; especially core observability teams within these organizations that are responsible for managing their organization's overall observability spend and responsible for resolving sudden spikes and overages to not burn through their budget. Observability costs are becoming a significant budget item but the core observability team does not have visibility into what is truly valuable to each individual engineering team. Meanwhile, even though the teams creating the data are promoting a culture of deep observability, they have limited insights into the costs of the metrics/tags they're submitting; therefore, they're less incentivized to be proactive in controlling this growth. +Cloud-based applications can generate massive amounts of data. And as your organization or business scales, you'll naturally have more teams that want and need to submit more data to provide better coverage of how your business is doing. But this growth can be daunting and seem unruly for organizations; especially for core observability teams within these organizations that are responsible for managing overall observability spend and resolving sudden spikes and overages quickly as to not burn through their budget. Observability costs are becoming a significant budget item but core observability teams lack visibility into what is truly valuable to each individual engineering team. Concurrently, individual teams may have limited insights into the costs of the metrics/tags they're submitting; therefore, they're less incentivized to be proactive in helping manage this growth. -It is crucial for everyone to have visibility into their usage and feel empowered to take ownership of managing those volumes and associated costs. Datadog recognizes that not all your metrics are equally valuable at every moment, so we were the first in the industry to introduce Datadog's Metrics without LimitsTM [link] which provides you flexibility by decoupling metric ingestion from indexing; allowing you to configure metrics to reduce costs through aggregation while preserving the mathematical accuracy of your configured metrics (all within our platform without any code-level changes). But it is also critical to balance the use of Metrics without Limits to reduce costs of metrics with understanding of value those metrics may bring to your organization. +It is crucial for everyone to have visibility into their usage and feel empowered to take ownership of managing those volumes and associated costs. Therefore, we've introduced the Metrics Volume Management page to provide this comprehensive visibility and intelligent insights for which metrics you should focus your cost-optimization efforts with Metrics without Limits. Datadog recognizes that not all your metrics are equally valuable at every moment, so we were the first in the industry to introduce Datadog's Metrics without LimitsTM [link] which provides you flexibility by decoupling metric ingestion from indexing; allowing you to configure metrics to reduce costs through aggregation while preserving the mathematical accuracy of your configured metrics (all within our platform without any code-level changes). -Datadog's Metrics Volume Management page [link] (beta banner here) provides an out-of-the-box view of both your custom metrics' value, volume and therefore, costs in real-time so any developer in your organization can quickly identify the root causes of any volume spikes, which impact your bill, and be empowered to remediate those potentially inadvertent spikes faster without sacrificing the core observability that your teams' rely on. +The Metrics Volume Management page [link] provides an out-of-the-box view of both your custom metrics' value, volume and therefore, costs in real-time so any developer in your organization can quickly identify the root causes of any volume spikes and be empowered to remediate those potentially inadvertent spikes with Metrics without Limits even faster without sacrificing the core observability that your teams' rely on. This volume management page provides all users real-time answers to the following questions: - Which metric names are causing my custom metrics bill to spike? - What are my organization's largest custom metrics? - Are these high cardinality custom metric names actually queried and valuable to my team? - What metric names have spiked recently in the past timeframe of my choosing? (i.e. past day or month) - - I'm on `team:X` and responsible for optimizing my team's metrics based on internal chargebacks - which metrics do I own? + - I'm on `team:X` and responsible for optimizing my team's metrics based on internal chargebacks - which metrics do I own? - I'm on `team:X` and responsible for optimizing my team's metrics based on internal chargebacks - which ones should I focus my cost-optimization efforts on? - How can my team better utilize our existing metrics to get more value from our observability spend? {{< img src="metrics/volume/overview.jpg" alt="Metrics Volume Management Page" style="width:75%;">}} ## Identifying drivers of your account's custom metrics bill spikes -As a quick refresher, insights on your overall account's usage and monthly bill for custom metrics can viewed on the Plan&Usage page [link], such as your monthly Custom Metrics usage, costs, burn rate and Top Custom Metrics. The Usage Attribution feature [] also provides a breakdown of your overall account's bill by any arbitrary dimension of your choosing; for example, team:X emits a volume of 10K custom metrics. However, as we stated earlier, all developers should have visibility into which metrics are driving their bill spikes in real-time and feel confident that their cost optimization efforts won't sacrifice another team's visibility. +As a quick refresher, your overall account's usage and monthly bill for custom metrics can viewed on the Plan&Usage page [link], such as your monthly Custom Metrics usage, costs, burn rate and Top Custom Metrics. The Usage Attribution feature [link] also provides a breakdown of your overall account's bill by any arbitrary dimension of your choosing; for example, `team:X` emits a volume of 10K custom metrics. However, as we stated earlier, all developers should have visibility into which metrics are driving their bill spikes in real-time and feel confident that their cost optimization efforts won't sacrifice another team's visibility. -Therefore, the Metrics Volume Management page provides all users (not just ones with Admin roles) with real-time, OOTB insights such as: +Therefore, the Metrics Volume Management page provides _all_ users (not just ones with Admin roles) with real-time, OOTB insights such as: - Top 500 Metric Names by Estimated Real-time Cardinality -- Quickly identify the top 500 metric names by cardinality/volume by clicking on the "Est. Custom Metrics" - Top 500 Metric Names by Change in Volume -- Quickly discover the top 500 metric names that have the greatest variance in their cardinality -- these metrics may have anomalously (potentially unintentionally) spiked in the timeframe of your choosing. If you've received an alert on your account's estimated real-time custom metrics usage, you can use this to quickly pinpoint the culprits tied to that spike. +To view how your spiking metric's cardinality has changed over time: +{{< img src="metrics/volume/hoverstate.jpg" alt="Change in Volume Hover Graph" style="width:75%;">}} +1. Select a timeframe of your choosing in the top right hand corner (recommended timeframe of Past 1 Day or Past 4 Weeks) +2. Click on the `Change in Volume` label to open up a comparison graph of your spiking metric's cardinality over time as well as how much percentage wise your metric has spiked +3. (Optional) Create a change % metric monitor to proactively alert on this spiking metric. Learn more about change monitors here[link: https://docs.datadoghq.com/monitors/guide/change-alert/] + +You can additionally filter this list of spiking metric names down to the metrics submitted by a specific team, application or service to view who is responsible for any potential volume spikes. To do so, type in any tag key value pair in the *Filter by Tag Value* box. +{{< img src="metrics/volume/teamfilter.jpg" alt="Metrics Volume Management page filtered to team:dbm" style="width:75%;">}} + ## Understanding whether these metrics provide value to your organization -Now that you've identified your largest metrics or spiking metric names likely causing your account's custom metric spike, you'll need to understand the utility of this data in order to safely use Metrics without Limits to effectively reduce the costs of those metric names. +Now that you've identified your largest metrics or spiking metric names likely causing your account's overall custom metric volume spike, you'll need to understand the utility of this data in order to safely use Metrics without Limits to effectively reduce the costs of those metric names. + +To identify your top metric names that haven't been actively queried in the past 30 days, click on "Not Actively Queried" in the Query Activity Facet box on the left. Datadog analyzes your query patterns over the past 30 days to intelligently identify which metrics are valuable to your teams vs not. Selecting "Not Actively Queried" returns a list of metric names that haven't been actively queried on any dashboards, notebooks, monitors, SLOs, Metrics Explorer or via the API. We continuously analyze your query patterns such that you can always access an updated list in a matter of seconds. + +### Quickly reduce costs of your unqueried metrics +Now that you've identified which metric names aren't valuable due to their querry patterns, you can quickly eliminate the volumes, and therefore costs, of these metric names by using Metrics without Limits[link] to maximize efficiency and ROI on your observability spend. + +1. Click on the metric name to open its details sidepanel +2. Click the Manage Tags button to open the tag configuration modal. +3. Select Include tags… but set an empty allowlist of tags. + +Include screenshot of removing all unqueried metrics on EUM volume + +### Review the value of your queried metrics + From 132463be8c87b61711ebf752c57dad9936f5bf83 Mon Sep 17 00:00:00 2001 From: Kathy L Date: Fri, 23 Feb 2024 16:21:30 -0500 Subject: [PATCH 04/23] Create volume --- static/images/metrics/volume | 1 + 1 file changed, 1 insertion(+) create mode 100644 static/images/metrics/volume diff --git a/static/images/metrics/volume b/static/images/metrics/volume new file mode 100644 index 0000000000000..8b137891791fe --- /dev/null +++ b/static/images/metrics/volume @@ -0,0 +1 @@ + From 189bea449ae0ad1a17870f5cafd2ad43b0e2a9c4 Mon Sep 17 00:00:00 2001 From: Kathy L Date: Fri, 23 Feb 2024 16:21:46 -0500 Subject: [PATCH 05/23] Delete static/images/metrics/volume --- static/images/metrics/volume | 1 - 1 file changed, 1 deletion(-) delete mode 100644 static/images/metrics/volume diff --git a/static/images/metrics/volume b/static/images/metrics/volume deleted file mode 100644 index 8b137891791fe..0000000000000 --- a/static/images/metrics/volume +++ /dev/null @@ -1 +0,0 @@ - From 266d2cfa42f424576ed6efc31be8eec8be2b8002 Mon Sep 17 00:00:00 2001 From: Kathy L Date: Fri, 23 Feb 2024 16:22:01 -0500 Subject: [PATCH 06/23] Create Test --- static/images/metrics/volume/Test | 1 + 1 file changed, 1 insertion(+) create mode 100644 static/images/metrics/volume/Test diff --git a/static/images/metrics/volume/Test b/static/images/metrics/volume/Test new file mode 100644 index 0000000000000..8b137891791fe --- /dev/null +++ b/static/images/metrics/volume/Test @@ -0,0 +1 @@ + From aebdcaaad03586b5e1feef449d0a69affcc26f50 Mon Sep 17 00:00:00 2001 From: Kathy L Date: Fri, 23 Feb 2024 16:22:28 -0500 Subject: [PATCH 07/23] Add files via upload Adding images for team filter, unqueried features --- static/images/metrics/volume/teamfilter.jpg | Bin 0 -> 534023 bytes static/images/metrics/volume/unqueried.jpg | Bin 0 -> 144593 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zHf&r~sWb2!AzkNX(SW{?^d&^N(c!}Y2cy5hHYzWacC5ZSJJHs*&@umfX^~0fq&&%J t?-8D%7e0aff*EPB5uEXgwS`P}PAcEgxfeG#EN(HOVraRuh4{;xzXGkO%o6|r literal 0 HcmV?d00001 From 9e996eb7d7bed155ed739001072026971c8d179b Mon Sep 17 00:00:00 2001 From: Kathy L Date: Fri, 23 Feb 2024 16:22:39 -0500 Subject: [PATCH 08/23] Update volume_management --- content/en/metrics/volume_management | 191 ++++----------------------- 1 file changed, 27 insertions(+), 164 deletions(-) diff --git a/content/en/metrics/volume_management b/content/en/metrics/volume_management index 17049105c27b7..1043e344a9ca3 100644 --- a/content/en/metrics/volume_management +++ b/content/en/metrics/volume_management @@ -16,9 +16,9 @@ further_reading: ## Overview Cloud-based applications can generate massive amounts of data. And as your organization or business scales, you'll naturally have more teams that want and need to submit more data to provide better coverage of how your business is doing. But this growth can be daunting and seem unruly for organizations; especially for core observability teams within these organizations that are responsible for managing overall observability spend and resolving sudden spikes and overages quickly as to not burn through their budget. Observability costs are becoming a significant budget item but core observability teams lack visibility into what is truly valuable to each individual engineering team. Concurrently, individual teams may have limited insights into the costs of the metrics/tags they're submitting; therefore, they're less incentivized to be proactive in helping manage this growth. -It is crucial for everyone to have visibility into their usage and feel empowered to take ownership of managing those volumes and associated costs. Therefore, we've introduced the Metrics Volume Management page to provide this comprehensive visibility and intelligent insights for which metrics you should focus your cost-optimization efforts with Metrics without Limits. Datadog recognizes that not all your metrics are equally valuable at every moment, so we were the first in the industry to introduce Datadog's Metrics without LimitsTM [link] which provides you flexibility by decoupling metric ingestion from indexing; allowing you to configure metrics to reduce costs through aggregation while preserving the mathematical accuracy of your configured metrics (all within our platform without any code-level changes). +It is crucial for everyone to have visibility into their usage and feel empowered to take ownership of managing those volumes and associated costs. Therefore, we've introduced the Metrics Volume Management page to provide this comprehensive visibility and intelligent insights for which metrics you should focus your cost-optimization efforts with Metrics without Limits. Datadog recognizes that not all your metrics are equally valuable at every moment, so we were the first in the industry to introduce Datadog's Metrics without LimitsTM[1] which provides you flexibility by decoupling metric ingestion from indexing; allowing you to configure metrics to reduce costs through aggregation while preserving the mathematical accuracy of your configured metrics (all within our platform without any code-level changes). -The Metrics Volume Management page [link] provides an out-of-the-box view of both your custom metrics' value, volume and therefore, costs in real-time so any developer in your organization can quickly identify the root causes of any volume spikes and be empowered to remediate those potentially inadvertent spikes with Metrics without Limits even faster without sacrificing the core observability that your teams' rely on. +The Metrics Volume Management page[2] provides an out-of-the-box view of both your custom metrics' value, volume and therefore, costs in real-time so any developer in your organization can quickly identify the root causes of any volume spikes and be empowered to remediate those potentially inadvertent spikes with Metrics without Limits even faster without sacrificing the core observability that your teams' rely on. This volume management page provides all users real-time answers to the following questions: - Which metric names are causing my custom metrics bill to spike? @@ -32,17 +32,17 @@ This volume management page provides all users real-time answers to the followin {{< img src="metrics/volume/overview.jpg" alt="Metrics Volume Management Page" style="width:75%;">}} ## Identifying drivers of your account's custom metrics bill spikes -As a quick refresher, your overall account's usage and monthly bill for custom metrics can viewed on the Plan&Usage page [link], such as your monthly Custom Metrics usage, costs, burn rate and Top Custom Metrics. The Usage Attribution feature [link] also provides a breakdown of your overall account's bill by any arbitrary dimension of your choosing; for example, `team:X` emits a volume of 10K custom metrics. However, as we stated earlier, all developers should have visibility into which metrics are driving their bill spikes in real-time and feel confident that their cost optimization efforts won't sacrifice another team's visibility. +As a quick refresher, your overall account's usage and monthly bill for custom metrics can viewed on the Plan&Usage page[3], such as your monthly Custom Metrics usage, costs, burn rate and Top Custom Metrics. The Usage Attribution feature[4] also provides a breakdown of your overall account's bill by any arbitrary dimension of your choosing; for example, `team:X` emits a volume of 10K custom metrics. However, as we stated earlier, all developers should have visibility into which metrics are driving their bill spikes in real-time and feel confident that their cost optimization efforts won't sacrifice another team's visibility. Therefore, the Metrics Volume Management page provides _all_ users (not just ones with Admin roles) with real-time, OOTB insights such as: - Top 500 Metric Names by Estimated Real-time Cardinality -- Quickly identify the top 500 metric names by cardinality/volume by clicking on the "Est. Custom Metrics" - Top 500 Metric Names by Change in Volume -- Quickly discover the top 500 metric names that have the greatest variance in their cardinality -- these metrics may have anomalously (potentially unintentionally) spiked in the timeframe of your choosing. If you've received an alert on your account's estimated real-time custom metrics usage, you can use this to quickly pinpoint the culprits tied to that spike. -To view how your spiking metric's cardinality has changed over time: +To view how your spiking metric's cardinality compares over time: {{< img src="metrics/volume/hoverstate.jpg" alt="Change in Volume Hover Graph" style="width:75%;">}} 1. Select a timeframe of your choosing in the top right hand corner (recommended timeframe of Past 1 Day or Past 4 Weeks) 2. Click on the `Change in Volume` label to open up a comparison graph of your spiking metric's cardinality over time as well as how much percentage wise your metric has spiked -3. (Optional) Create a change % metric monitor to proactively alert on this spiking metric. Learn more about change monitors here[link: https://docs.datadoghq.com/monitors/guide/change-alert/] +3. (Optional) Create a change % metric monitor to proactively alert on this spiking metric. Learn more about change monitors here[5]. You can additionally filter this list of spiking metric names down to the metrics submitted by a specific team, application or service to view who is responsible for any potential volume spikes. To do so, type in any tag key value pair in the *Filter by Tag Value* box. {{< img src="metrics/volume/teamfilter.jpg" alt="Metrics Volume Management page filtered to team:dbm" style="width:75%;">}} @@ -50,179 +50,42 @@ You can additionally filter this list of spiking metric names down to the metric ## Understanding whether these metrics provide value to your organization Now that you've identified your largest metrics or spiking metric names likely causing your account's overall custom metric volume spike, you'll need to understand the utility of this data in order to safely use Metrics without Limits to effectively reduce the costs of those metric names. -To identify your top metric names that haven't been actively queried in the past 30 days, click on "Not Actively Queried" in the Query Activity Facet box on the left. Datadog analyzes your query patterns over the past 30 days to intelligently identify which metrics are valuable to your teams vs not. Selecting "Not Actively Queried" returns a list of metric names that haven't been actively queried on any dashboards, notebooks, monitors, SLOs, Metrics Explorer or via the API. We continuously analyze your query patterns such that you can always access an updated list in a matter of seconds. +To identify your top metric names that haven't been actively queried in the past 30 days, click on "Not Actively Queried" in the Query Activity Facet box on the left. Datadog analyzes your query patterns over the past 30 days to intelligently identify which metrics are valuable to your teams vs not. Selecting "Not Actively Queried" returns a list of metric names that haven't been actively queried on any dashboards, notebooks, monitors, SLOs, Metrics Explorer or via the API. -### Quickly reduce costs of your unqueried metrics -Now that you've identified which metric names aren't valuable due to their querry patterns, you can quickly eliminate the volumes, and therefore costs, of these metric names by using Metrics without Limits[link] to maximize efficiency and ROI on your observability spend. +{{< img src="metrics/volume/unqueried.jpg" alt="Filter to Unqueried Metrics" style="width:75%;">}} + +We continuously analyze your query patterns such that you can always access an up-to-date list of metrics in a matter of seconds. + +### Quickly reduce costs of your unqueried metrics with the Query Activity Facet +Now that you've identified which metric names aren't valuable due to their query patterns, you can quickly eliminate the volumes, and therefore costs, of these metric names by using Metrics without LimitsTM[1] to maximize efficiency and ROI on your observability spend. 1. Click on the metric name to open its details sidepanel 2. Click the Manage Tags button to open the tag configuration modal. 3. Select Include tags… but set an empty allowlist of tags. +You have full control over the cardinality of your metrics at any time with zero changes needed to your applications or the requirement of a remote-write setup. Below is an example of how eliminating timeseries that are never or rarely leveraged can significantly reduce your custom metrics volumes and therefore costs. Include screenshot of removing all unqueried metrics on EUM volume -### Review the value of your queried metrics - - - - - ------------- copied from Metrics Summary -------- -## Facet panel - -The search bars provide the most comprehensive set of actions to filter the list of metrics. But facets can also filter your metrics by: - -- **Configuration**: Metrics with tag configurations -- **Percentiles**: Distribution metrics enabled by percentiles/advanced query capabilities -- **Historical Metrics**: Metrics that have historical metrics ingestion enabled -- **Query Activity** (Beta): Metrics not queried in the app or by the API in the past 30 days -- **Metric Type**: Differentiate between distribution and non-distribution metrics (counts, gauges, rates) -- **Distribution Metric Origin**: The product from which the metric originated (for example, metrics generated from Logs or APM Spans) - -{{< img src="metrics/summary/facets3.jpg" alt="Metrics Facet Panel" style="width:75%;">}} - - -## Configuration of multiple metrics -There are two buttons that allow you to configure multiple metrics at a time: - -{{< img src="metrics/summary/configurationbuttons2.png" alt="Bulk Configuration Buttons" style="width:75%;">}} - -* **Calculate Percentiles**: Add percentile aggregations to multiple distribution metrics. - -{{< img src="metrics/summary/bulkpercentiles.jpg" alt="Bulk Percentiles" style="width:75%;">}} - -* **Configure Tags**: Configure tags on multiple custom metrics matching a namespace using Metrics without Limits™ - -{{< img src="metrics/summary/bulkconfig_new-compressed.mp4" alt="Bulk Metric Tag Configuration" video="true" style="width:100%;" >}} - - -## Metric details sidepanel - -Click on any metric name to display its details sidepanel for more information regarding the metric's metadata and tags: - -{{< img src="metrics/summary/mwl_sidepanel.jpg" alt="Metric panel" style="width:75%;">}} - -### Metric name - -The name of your metric in the [Metrics Explorer][2], [dashboards][3], etc. - -### Ingested custom metrics - -A metric name may emit multiple ingested custom metrics depending on its associated tag value combinations. Ingested custom metrics represent all of the data originally submitted with code. - -Learn more in the [custom metrics][4] documentation. - -### Indexed custom metrics - -Unlike ingested custom metrics, indexed custom metrics represent those that remain queryable across the Datadog platform. This number may be impacted by adding or removing percentile aggregations or by use of Metrics without Limits™. Learn more in the [Metrics without Limits™][10] documentation. - -### Hosts - -The total number of hosts reporting a metric. - -### Tag values - -The total number of unique tag values attached to a metric. - -[Learn more about tagging][5]. - -### Metrics metadata - -The metadata attached to your metric. Most of the metadata can be edited on the metric summary page or with the [Datadog API][6]. - -#### Metric unit - -The unit for your metric (byte, second, request, query, etc.). See the [metric unit][7] page for more details. - -When submitting custom metrics to Datadog, it is possible to change the [unit of measurement][1] that displays when hovering over the metric in your graph. - -**Note**: This does not change how a metric graph is displayed. It only changes the units of measurement that raw values are considered as when you hover over a metric. Formatting is automatically applied for readability. For example, bytes (`B`) may be displayed as kilobytes (`KiB`). - -#### Metric type - -The type for your metric (gauge, rate, count, distribution). See the [metric type][8] page for more details. - -**Warning**: Editing the metric type changes that metric's behavior for **ALL** your dashboards and monitors. - -#### Integration name - -If the metric is coming from a supported [integration][9], the metadata lists the integration name. This information cannot be edited. - -#### Interval - -The collection interval for the metric in seconds. - -#### Metric description - -The metric description helps you understand what a metric does. Descriptions are pre-populated for metrics coming from supported [integrations][9]. Use this field to update the descriptions for your [custom metrics][4]. - -### Tags table - -The tags table offers multiple ways to explore all of the tag keys and tag values that are actively reporting in your metric's data. - -Use the tags table to: - -- Sort tag keys by the **Count column** (count of unique tag values). -- Search through the paginated table of tags for a particular tag key. -- Export the tags table as a downloadable CSV. -- Toggle between tags you've configured on your metric vs the metric's originally submitted tags - -For any particular tag key, you can: - -- Inspect all tag values of that tag key. -- Use a specific tag `key:value` to further filter the list of metrics displayed on the Metrics Summary page. -- Open a graph of this metric filtered by your tag `key:value` pair in the Metrics Explorer. -- Copy any tag `key:value` for filtering across the application. - -{{< img src="metrics/summary/updated_tags_table.mp4" alt="Tags Table" video=true style="width:75%;">}} - -[Learn more about tagging][5]. - -## Metrics without Limits™ -Metrics without Limits™ provides you control over the size of your custom metrics without requiring any agent or code-level changes. - -**Note:** Metrics without Limits™ is only available for custom metrics. - -You can configure tags using the bulk metric tag configuration button or the **Manage Tags** button in a metric's details side panel. - -{{< img src="metrics/distributions/managetags.png" alt="Configuring tags on a distribution" style="width:80%;">}} - -1. Click on your custom distribution metric name in the **Metrics Summary** table to open the metrics details side panel. -2. Click the **Manage Tags** button to open the tag configuration modal. - -3. Select **Include tags...** or **Exclude tags...** to customize the tags you do or don't want to query for. For more information on tag configuration, see the [Metrics without Limits][10] documentation. -4. Preview the effects of your proposed tag configuration with the cardinality estimator before selecting **Save**. - -**Note**: The cardinality estimator requires the metric to be older than 48 hours. - -### Queryable tags - -Once your metric has been configured with Metrics without Limits™, you can view which tags remain Queryable -- ultimately those that contribute to _Indexed Custom Metrics_ volume. And you can toggle back to all originally submitted and ingested tags that contribute to your _Ingested Custom Metrics_ volume. - -### Optimize your metric with aggregations in Advanced Mode - -For custom metrics of the count, gauge, or rate metric type, you can further refine your metric's configurations by optionally including additional aggregations with the advanced mode of Metrics without Limits™. By default, Datadog stores the most frequently queried aggregation combination depending on the metric's type to preserve the mathematical accuracy of your configured metric's query as listed below: +### Review the value of your queried metrics with Metrics Related Assets (BETA) +While you can use Metrics without LimitsTM[1] to pay only for the metrics you use by eliminating timeseries that are never queried for the past 30 days, it may also be useful to review the utility of metrics that are queried but rarely leveraged in-app on any dashboard, notebook, monitor or SLO. -- Configured counts/rates are queryable with time/space aggregations of `SUM` -- Configured gauges are queryable in time/space aggregations of `AVG` +Datadog surfaces your metric's related assets automatically and OOTB. Metrics related assets refers to any dashboard, notebook, monitor, or SLO that queries a particular metric. -{{< img src="metrics/summary/customize_aggr_docs.jpg" alt="Refine aggregations on counts, rates, and gauges" style="width:80%;">}} +{{< img src="metrics/summary/RelatedAssets.PublicBeta.png" alt="Related Assets for a specified metrics name" style="width:80%;">}} -More aggregations are available should they be valuable to you. You can add or remove aggregations at any time with no required Agent or code-level changes. +To view a metric's related assets: +1. Click on the metric name to open its details sidepanel +2. Scroll down to the the section of the sidepanel titled "Related Assets) +3. Click the dropdown button to view the type of related asset you are interested in (dashboards, monitors, notebooks, SLOs). You can additionally leverage the search bar to validate specific assets. -**Note**: Configuring your count, rate, or gauge metric and removing an aggregation may impact existing dashboards and monitors. +You can make data driven decisions based on the number of assets or the popularity of said assets to assess the utility of these metrics to your overall organization. Metrics with related assets can still be further optimized using Metrics without LimitsTM[1]. ## Further reading {{< partial name="whats-next/whats-next.html" >}} -[10]: /metrics/metrics-without-limits -[1]: https://app.datadoghq.com/metric/summary -[2]: /metrics/explorer/ -[3]: /dashboards/ -[4]: /metrics/custom_metrics/ -[5]: /getting_started/tagging/ -[6]: /api/v1/metrics/#edit-metric-metadata -[7]: /metrics/units/ -[8]: /metrics/types/ -[9]: /integrations/ +[1]: /metrics/metrics-without-limits +[2]: https://app.datadoghq.com/metric/volume +[3]: https://app.datadoghq.com/billing/usage +[4]: https://app.datadoghq.com/billing/usage-attribution?view=table +[5]: /monitors/guide/change-alert/ From e30431b696eb2a16f606471f6ce07e3ac8d59e14 Mon Sep 17 00:00:00 2001 From: Esther Kim Date: Mon, 1 Jul 2024 10:53:31 -0400 Subject: [PATCH 09/23] Documentation editorial review (#22185) * Create volume_management page for Metris * Update volume_management * Update volume_management Added related assets / unqueried metrics sections * Create volume * Delete static/images/metrics/volume * Create Test * Add files via upload Adding images for team filter, unqueried features * Update volume_management * Documentation editorial review suggestions * Fix links * Apply suggestions from code review * Add Volume to left nav --------- Co-authored-by: Kathy L --- config/_default/menus/menus.en.yaml | 11 +- content/en/metrics/volume.md | 116 ++++++++++++++++++ .../volume/compare_metric_cardinality.png | Bin 0 -> 197906 bytes .../metrics/volume/configure_metrics.png | Bin 0 -> 189170 bytes .../metrics/volume/id_unqueried_metrics.png | Bin 0 -> 141847 bytes .../volume/metrics_volume_overview.png | Bin 0 -> 184485 bytes .../volume/reduce_metric_vol_cost_tags.png | Bin 0 -> 275680 bytes .../images/metrics/volume/related_assets.png | Bin 0 -> 260682 bytes 8 files changed, 124 insertions(+), 3 deletions(-) create mode 100644 content/en/metrics/volume.md create mode 100644 static/images/metrics/volume/compare_metric_cardinality.png create mode 100644 static/images/metrics/volume/configure_metrics.png create mode 100644 static/images/metrics/volume/id_unqueried_metrics.png create mode 100644 static/images/metrics/volume/metrics_volume_overview.png create mode 100644 static/images/metrics/volume/reduce_metric_vol_cost_tags.png create mode 100644 static/images/metrics/volume/related_assets.png diff --git a/config/_default/menus/menus.en.yaml b/config/_default/menus/menus.en.yaml index 7f43fed735f82..26aabf403b242 100644 --- a/config/_default/menus/menus.en.yaml +++ b/config/_default/menus/menus.en.yaml @@ -1368,21 +1368,26 @@ main: url: metrics/summary/ parent: metrics_top_level weight: 6 + - name: Volume + identifier: metrics_volume + url: metrics/volume/ + parent: metrics_top_level + weight: 7 - name: Advanced Filtering url: metrics/advanced-filtering/ parent: metrics_top_level identifier: metrics_advanced_filtering - weight: 7 + weight: 8 - name: Metrics Without Limits™ identifier: metrics_without_limits url: metrics/metrics-without-limits/ parent: metrics_top_level - weight: 8 + weight: 9 - name: Guides url: metrics/guide parent: metrics_top_level identifier: metrics_guide - weight: 9 + weight: 10 - name: Notebooks url: notebooks/ identifier: notebooks diff --git a/content/en/metrics/volume.md b/content/en/metrics/volume.md new file mode 100644 index 0000000000000..a9de2e8d0d426 --- /dev/null +++ b/content/en/metrics/volume.md @@ -0,0 +1,116 @@ +--- +title: Volume +kind: documentation +description: "Understand and manage your custom metrics usage and costs." +further_reading: + - link: "/metrics/summary/" + tag: "Documentation" + text: "Metrics Summary" + - link: "/metrics/metrics-without-limits/" + tag: "Documentation" + text: "Metrics without Limits™" + - link: "/metrics/custom_metrics/" + tag: "Documentation" + text: "Custom Metrics" + +--- + + +{{< beta-callout url="#" btn_hidden="true">}} + Metrics Volume is in beta. If you're interested in the feature, reach out to your Technical Account Manager or Customer Success Manager. +{{< /beta-callout >}} + +## Overview + +{{< img src="metrics/volume/metrics_volume_overview.png" alt="Metrics Volume page set to a timeframe of the past hour (by default) showing the search, filter, facet and column sorting features available" style="width:100%;" >}} + +Cloud-based applications generate massive amounts of data, which can be overwhelming for your organization as it scales. Observability costs become a significant budget item but core observability teams lack visibility into what is truly valuable to each individual engineering team. Concurrently, individual teams may have limited insights into the costs of the metrics and tags they're submitting; teams are less incentivized to be proactive in helping manage this growth. + +Datadog's [Metrics Volume Management page][1] provides comprehensive visibility and intelligent insights for which metrics you should focus your cost-optimization efforts. If used with [Metrics without Limits™][1], Metrics Volume allows for flexible configuration of metrics ingestion and indexing to reduce costs without sacrificing accuracy. + +## Search, filter, and sort + +Use the search, filter, and sort features to understand: +- Which team owns what metric names +- Which metrics your team should focus its cost optimization efforts on +- Which metrics have the highest cardinality, and which metrics have the highest increase in volume + +The Metric and Tag search bars provide a set of actions to filter the list of metrics. Enter keywords to search metric names. Type in any tag key value pair in the *Filter by Tag Value* box to filter the list by a specific team, application, or service. + +Facets can also filter your metrics by: +- **Configuration**: Metrics with tag configurations +- **Percentiles**: Distribution metrics enabled by percentiles/advanced query capabilities +- **Historical Metrics**: Metrics that have historical metrics ingestion enabled +- **Query Activity** (Beta): Metrics not queried in the app or by the API in the past 30 days +- **Metric Type**: Differentiate between distribution and non-distribution metrics (counts, gauges, rates) +- **Distribution Metric Origin**: The product from which the metric originated (for example, metrics generated from Logs or APM Spans) + +The Volume page displays a list of your metrics reported to Datadog sorted by estimated custom metrics or by the change in volume. To sort metrics by either of these options, click on the column header of the metric table. +| Column | Description | +|--------|-------------| +|**Top 500 Metric Names by Estimated Real-time Cardinality** | Identify the top 500 metric names by cardinality/volume.| +|**Top 500 Metric Names by Change in Volume** |Discover the top 500 metric names that have the greatest variance in their cardinality. These metrics may have anomalously (potentially unintentionally) spiked in the timeframe of your choosing. If you receive an alert on your account's estimated real-time custom metrics usage, you can use this view to investigate the metric spike. | + +## Compare metric cardinality + +{{< img src="metrics/volume/compare_metric_cardinality.png" alt="Metrics Volume filtered down to metric names with “shopist”, sorted by estimated custom metrics. On hover over the change in volume, displays the cardinality graph of the metric over the past day" style="width:100%;" >}} + +Cardinality refers to the number of unique sets of tag values associated with a given key. Tags with large numbers of possible values have a "high cardinality". A custom metric is identified by a unique combination of a metric's name and tag values (including the host tag). + +Compare metric cardinality to understand: + - Which metric names are causing your custom metrics bill to spike. + - What the organization's largest custom metrics are. + - What metric names have spiked recently in the past day or month. + +To view your spiking metric's cardinality over time: +1. Select a time frame in the top right hand corner (the recommended time frame is **Past 1 Day** or **Past 4 Weeks**). +2. Find the metric you want to compare and in the same row click on the value under the **Change in Volume** column. This opens up a modal showing a graph comparing your metric's cardinality over time and the percentage increase in its spike. +3. (Optional) Create a Change monitor for `% change` to proactively alert on this spiking metric. For more information, see the [Change monitor][2] guide. + +## Identify unqueried metrics + +{{< img src="metrics/volume/id_unqueried_metrics.png" alt="Facet fields for Query Activity with the 'Not actively queried' facet selected" style="width:100%;" >}} + +To effectively reduce costs with Metrics without Limits, identify your highest volume or spiking metric names. To find the metrics not actively queried in the past 30 days, click on **Not Actively Queried** in the Query Activity Facet box. Datadog analyzes query patterns to determine valuable metrics. Selecting **Not Actively Queried** generates a list of unused metric names across dashboards, notebooks, monitors, SLOs, Metrics Explorer, and the API. + +## Reduce metric volume and cost + +After you identify unqueried metrics, you can eliminate the volume and cost of these metric names by using [Metrics without Limits™][3]: + +1. Click on the metric name to open its details side panel. +2. Click the **Manage Tags** button to open the tag configuration modal. +3. Select **Include tags…** and set an empty allowlist of tags. + +You can also click the **Configure Metrics** dropdown and select **Manage Tags** to open the [Metrics without Limits™ Tag configuration modal][4]. + +{{< img src="metrics/volume/configure_metrics.png" alt="Configure Metric dropdown at the top of the page highlighting the Manage tags option" style="width:100%;" >}} + +You have full control over the cardinality of your metrics without the need to change your applications nor the requirement of a remote-write setup. Below is an example of how eliminating timeseries that are rarely used can significantly reduce your custom metrics volumes and costs. + +In this example, the tag configuration modal shows a metric with a current volume of 13690031 indexed custom metrics. After you select Include tags… with an empty allowlist of tags, the modal shows an estimated new volume of 1. You can reduce the number of indexed custom metrics by 13690030. + +{{< img src="metrics/volume/reduce_metric_vol_cost_tags.png" alt="Tag configuration modal showing an example metric with a current volume of 13690031 index metrics and an estimated new volume of 1, with an empty allowlist of tags" style="width:80%;" >}} + + +## Analyze metric utilization in Datadog + +

+ +Assess the value of metrics queried but underutilized in Datadog with metrics-related assets. A metrics-related asset refers to any dashboard, notebook, monitor, or SLO that queries a particular metric. Use related asset popularity and quantity to evaluate metric utility within your organization, enabling data-driven decisions. Gain a better understanding of how your team can utilize existing metrics to get more value from your observability spend and [reduce metric volume and cost](#reduce-metric-volume-and-cost). + +{{< img src="metrics/volume/related_assets.png" alt="Metric detail side panel showing the Related Assets section. The example metric is applied to one dashboard" style="width:100%;" >}} + +To view a metric's related assets: +1. Click on the metric name to open its details side panel. +2. Scroll down to the section of the side panel titled **Related Assets**. +3. 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zLd;iIY9rZ-COb>Mhn8?f;nO0xXA1$dBq}uV_kO(0BOA_Q-{=jKG)A;3`5jWbpj{L71Yb`aT9hh zTPM{?$nC@@C{*Q799esEeeLc!qT@Xs_jfp9LjYFkkj=?gA~WFM=Q2UKC$!bA+c^~% SPd^yoM@B+Xyh7AC@P7gLzOGmR literal 0 HcmV?d00001 From 1d8a07e6dd67dad22309b69d17712e65744b70f3 Mon Sep 17 00:00:00 2001 From: Esther Kim Date: Mon, 1 Jul 2024 14:06:29 -0400 Subject: [PATCH 10/23] Re-review of the overview --- content/en/metrics/volume.md | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/content/en/metrics/volume.md b/content/en/metrics/volume.md index 8f9f98d15d450..e868820edea78 100644 --- a/content/en/metrics/volume.md +++ b/content/en/metrics/volume.md @@ -1,6 +1,5 @@ --- title: Volume -kind: documentation description: "Understand and manage your custom metrics usage and costs." further_reading: - link: "/metrics/summary/" @@ -24,7 +23,7 @@ further_reading: {{< img src="metrics/volume/metrics_volume_overview.png" alt="Metrics Volume page set to a timeframe of the past hour (by default) showing the search, filter, facet and column sorting features available" style="width:100%;" >}} -Cloud-based applications generate massive amounts of data, which can be overwhelming for your organization as it scales. Observability costs become a significant budget item but core observability teams lack visibility into what is truly valuable to each individual engineering team. Concurrently, individual teams may have limited insights into the costs of the metrics and tags they're submitting; teams are less incentivized to be proactive in helping manage this growth. +Cloud-based applications generate massive amounts of data, which can be overwhelming for your organization as it scales. Observability costs become a significant budget item but core observability teams lack visibility into what is truly valuable to each individual engineering team. Individual teams are less incentivized to be proactive in helping manage this growth because they have limited insights into the costs of the metrics and tags they're submitting. Datadog's [Metrics Volume Management page][1] provides comprehensive visibility and intelligent insights for which metrics you should focus your cost-optimization efforts. When used with [Metrics without Limits™][1], Metrics Volume allows for flexible configuration of metrics ingestion and indexing to reduce costs without sacrificing accuracy. @@ -71,7 +70,7 @@ To view your spiking metric's cardinality over time: {{< img src="metrics/volume/id_unqueried_metrics.png" alt="Facet fields for Query Activity with the 'Not actively queried' facet selected" style="width:100%;" >}} -To effectively reduce costs with Metrics without Limits, identify your highest volume or spiking metric names. To find the metrics not actively queried in the past 30 days, click on **Not Actively Queried** in the Query Activity Facet box. Datadog analyzes query patterns to determine valuable metrics. Selecting **Not Actively Queried** generates a list of unused metric names across dashboards, notebooks, monitors, SLOs, Metrics Explorer, and the API. +To effectively reduce costs with Metrics without Limits, identify your highest volume or spiking metric names. To find the metrics not actively queried in the past 30 days, click on **Not Actively Queried** in the *Query Activity Facet* box. Datadog analyzes query patterns to determine valuable metrics. Selecting **Not Actively Queried** generates a list of unused metric names across dashboards, notebooks, monitors, SLOs, Metrics Explorer, and the API. ## Reduce metric volume and cost @@ -104,7 +103,6 @@ To view a metric's related assets: 2. Scroll down to the section of the side panel titled **Related Assets**. 3. Click the dropdown button to view the type of related asset you are interested in (dashboards, monitors, notebooks, SLOs). You can use the search bar to validate specific assets. - ## Further reading {{< partial name="whats-next/whats-next.html" >}} From d8fb405db2fde49087397733a43dfbc1d44dd214 Mon Sep 17 00:00:00 2001 From: Esther Kim Date: Mon, 1 Jul 2024 15:12:21 -0400 Subject: [PATCH 11/23] Fix links for change alert monitor reference --- content/en/metrics/volume.md | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/content/en/metrics/volume.md b/content/en/metrics/volume.md index e868820edea78..7bf237bd780f3 100644 --- a/content/en/metrics/volume.md +++ b/content/en/metrics/volume.md @@ -25,7 +25,7 @@ further_reading: Cloud-based applications generate massive amounts of data, which can be overwhelming for your organization as it scales. Observability costs become a significant budget item but core observability teams lack visibility into what is truly valuable to each individual engineering team. Individual teams are less incentivized to be proactive in helping manage this growth because they have limited insights into the costs of the metrics and tags they're submitting. -Datadog's [Metrics Volume Management page][1] provides comprehensive visibility and intelligent insights for which metrics you should focus your cost-optimization efforts. When used with [Metrics without Limits™][1], Metrics Volume allows for flexible configuration of metrics ingestion and indexing to reduce costs without sacrificing accuracy. +Datadog's [Metrics Volume Management page][1] provides comprehensive visibility and intelligent insights for which metrics you should focus your cost-optimization efforts. When used with [Metrics without Limits™][3], Metrics Volume allows for flexible configuration of metrics ingestion and indexing to reduce costs without sacrificing accuracy. ## Search, filter, and sort @@ -64,7 +64,7 @@ Compare metric cardinality to understand: To view your spiking metric's cardinality over time: 1. Select a time frame in the top right hand corner (the recommended time frame is **Past 1 Day** or **Past 4 Weeks**). 2. Find the metric you want to compare and in the same row click on the value under the **Change in Volume** column. This opens up a modal showing a graph comparing your metric's cardinality over time and the percentage increase in its spike. -3. (Optional) Create a Change monitor for `% change` to proactively alert on this spiking metric. For more information, see the [Change monitor][2] guide. +3. (Optional) Create a Change monitor for `% change` to proactively alert on this spiking metric. For more information, see the [Change Alert Monitor][2] documentation. ## Identify unqueried metrics @@ -94,7 +94,7 @@ In this example, the tag configuration modal shows a metric with a current volum
Related Assets is in public beta
-Assess the value of metrics queried but underutilized in Datadog with metrics-related assets. A metrics-related asset refers to any dashboard, notebook, monitor, or SLO that queries a particular metric. Use related asset popularity and quantity to evaluate metric utility within your organization, enabling data-driven decisions. Gain a better understanding of how your team can utilize existing metrics to get more value from your observability spend and [reduce metric volume and cost](#reduce-metric-volume-and-cost). +Assess the value of metrics queried but underutilized in Datadog with metrics-related assets. A metrics-related asset refers to any dashboard, notebook, monitor, or SLO that queries a particular metric. Use related asset popularity and quantity to evaluate metric utility within your organization, enabling data-driven decisions. Gain a better understanding of how your team can utilize existing metrics to get more value from your observability spend and [reduce metric volume and cost]. {{< img src="metrics/volume/related_assets.png" alt="Metric detail side panel showing the Related Assets section. The example metric is applied to one dashboard" style="width:100%;" >}} @@ -108,6 +108,7 @@ To view a metric's related assets: {{< partial name="whats-next/whats-next.html" >}} [1]: https://app.datadoghq.com/metric/volume -[2]: /monitors/guide/change-alert/ +[2]: /monitors/types/change-alert/ [3]: /metrics/metrics-without-limits [4]: https://app.datadoghq.com/metric/volume?bulk_manage_tags=true&facet.query_activity=-queried&sort=volume_total +[5]: #reduce-metric-volume-and-cost From 1da4f507a3f2081488a6d18d367932aa60bc5e07 Mon Sep 17 00:00:00 2001 From: Kathy L Date: Wed, 10 Jul 2024 13:31:50 -0400 Subject: [PATCH 12/23] Update volume.md Adding new Est CM usage graphs / ingestde sort column --- content/en/metrics/volume.md | 30 +++++++++++++++++++++--------- 1 file changed, 21 insertions(+), 9 deletions(-) diff --git a/content/en/metrics/volume.md b/content/en/metrics/volume.md index 7bf237bd780f3..eb30239fe3d3a 100644 --- a/content/en/metrics/volume.md +++ b/content/en/metrics/volume.md @@ -1,6 +1,6 @@ --- title: Volume -description: "Understand and manage your custom metrics usage and costs." +description: "Understand and manage your custom metrics usage and costs with the Volume Management page." further_reading: - link: "/metrics/summary/" tag: "Documentation" @@ -14,11 +14,6 @@ further_reading: --- - -{{< beta-callout url="#" btn_hidden="true">}} - Metrics Volume is in beta. If you're interested in the feature, reach out to your Technical Account Manager or Customer Success Manager. -{{< /beta-callout >}} - ## Overview {{< img src="metrics/volume/metrics_volume_overview.png" alt="Metrics Volume page set to a timeframe of the past hour (by default) showing the search, filter, facet and column sorting features available" style="width:100%;" >}} @@ -27,12 +22,29 @@ Cloud-based applications generate massive amounts of data, which can be overwhel Datadog's [Metrics Volume Management page][1] provides comprehensive visibility and intelligent insights for which metrics you should focus your cost-optimization efforts. When used with [Metrics without Limits™][3], Metrics Volume allows for flexible configuration of metrics ingestion and indexing to reduce costs without sacrificing accuracy. +With the Metrics Volume Management page you can quickly answer the following questions in real-time: +- What is my overall account's realtime estimated Indexed Custom Metrics usage? (A +- Out of my realtime estimated Indexed CM usage, how much of this volume comes from Metrics without Limits configured metric names vs not? +- What is my overall account's realtime estimated Ingested Custom Metrics usage? +- What are the Top 500 largest Metrics without Limits configured metric names by Ingested Custom Metrics volume? +- What are the Top 500 largest metric names by Indexed Custom Metrics volume? +- What are the Top 500 spiking cardinality metric names? +- Which team owns these Top 500 metric names and is responsible for optimizing? + +## Real-time visibility and monitoring on your account's estimated Custom Metrics usage +Datadog provides you real-time estimated usage metrics OOTB so you can understand and alert on your usage in real-time. You can quickly see a breakdown of: +- Your account's indexed custom metrics volume in real-time (and how much of that indexed volume hasn't been optimized with [Metrics without Limits™][3] yet) +- Your account's ingested custom metrics (emitted from metrics that have been configured with [Metrics without Limits™][3]) in real-time + +{{< img src="metrics/volume/compare_metric_cardinality.png" alt="Metrics Volume filtered down to metric names with “shopist”, sorted by estimated custom metrics. On hover over the change in volume, displays the cardinality graph of the metric over the past day" style="width:100%;" >}} + + ## Search, filter, and sort Use the search, filter, and sort features to understand: -- Which team owns what metric names -- Which metrics your team should focus its cost optimization efforts on -- Which metrics have the highest cardinality, and which metrics have the highest increase in volume +- Which team owns what metric names? +- Which metrics your team should focus its cost optimization efforts on? +- Which metrics have the highest cardinality, and which metrics have the highest increase in volume? The Metric and Tag search bars provide a set of actions to filter the list of metrics. Enter keywords to search metric names. Type in any tag key value pair in the *Filter by Tag Value* box to filter the list by a specific team, application, or service. From deeabacb0bda2aab7ced295de1740e30c6b82dae Mon Sep 17 00:00:00 2001 From: "Kathy L." 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zm4Z8Mdfo7W9Y^ygo6Rlt!S!#~fS0BbJK?~z0Mw#;q3La5KgbIexpy)aC0ASc6QA=2 z_HjuTeKqEeRiUs5NP6z(k>ZDa(?nH7R8D~PAOuCBYs#ireqWCUT``#{6?kIk+`OnJ zElp7NNmM5AesGzNRmnVpp&o{YNy4E4xHlhToDtf!ts5Q|oT{nc*i(&K#e zrWGl0Si$#6gnAv86i$QuFiAcRz7PITt2~DtFUMJ{K zf~=y?^1Hdx_epPjSqjXR1j(vJ*aR|H{nDqdPeA6%`oVn(#Hceb(q^9=>~k{5I!J}9 zd(~_j3wlO_v#E8G2&$Sq;R4k3GPb`*3l-OSmLfdEXS7{JKy!W|A&@-vB71V74Pi;X zx7Z8Wu>#b(3(>esQsLb4C(FEtE5qJBs@OE`ynfJK^yn3}yJDrg5A$KBY@yYCdFrA8 z6dF7@5H(&3+k(xsA1IBzz6hDZ%8+Y0T1<`JyDnB=h^e%e4pBM6$SG|m z>7-d(i1H?UN%JPGR9UV|Rr)PSi?2^Pj;2P_BiW|_7-zPSg-W|u3$o5F_nPwn`PD&s z(q%$?UxTGerOMAO?}JM?IYR=>ji&WjzUiWn6GGcsBnVUw}C0?$#d4HS<-|H9s|5x;d}(Zra zJu?K1M5rki0F3n}?#*TPBNUX!{8e2O#J6D|FfI_Mwn8Ce~`Y) zx{Ut1*8O*s_%BiW?-$7jm;m Date: Wed, 24 Jul 2024 12:57:20 -0400 Subject: [PATCH 14/23] Update volume.md Slowly iterating here --- content/en/metrics/volume.md | 30 ++++++++++++++---------------- 1 file changed, 14 insertions(+), 16 deletions(-) diff --git a/content/en/metrics/volume.md b/content/en/metrics/volume.md index eb30239fe3d3a..fbad682daa345 100644 --- a/content/en/metrics/volume.md +++ b/content/en/metrics/volume.md @@ -23,28 +23,28 @@ Cloud-based applications generate massive amounts of data, which can be overwhel Datadog's [Metrics Volume Management page][1] provides comprehensive visibility and intelligent insights for which metrics you should focus your cost-optimization efforts. When used with [Metrics without Limits™][3], Metrics Volume allows for flexible configuration of metrics ingestion and indexing to reduce costs without sacrificing accuracy. With the Metrics Volume Management page you can quickly answer the following questions in real-time: -- What is my overall account's realtime estimated Indexed Custom Metrics usage? (A -- Out of my realtime estimated Indexed CM usage, how much of this volume comes from Metrics without Limits configured metric names vs not? +- What is my overall account's realtime estimated Indexed Custom Metrics usage? - What is my overall account's realtime estimated Ingested Custom Metrics usage? - What are the Top 500 largest Metrics without Limits configured metric names by Ingested Custom Metrics volume? - What are the Top 500 largest metric names by Indexed Custom Metrics volume? - What are the Top 500 spiking cardinality metric names? - Which team owns these Top 500 metric names and is responsible for optimizing? +- Which metrics are actually valuable (or not) to my organization? ## Real-time visibility and monitoring on your account's estimated Custom Metrics usage Datadog provides you real-time estimated usage metrics OOTB so you can understand and alert on your usage in real-time. You can quickly see a breakdown of: - Your account's indexed custom metrics volume in real-time (and how much of that indexed volume hasn't been optimized with [Metrics without Limits™][3] yet) - Your account's ingested custom metrics (emitted from metrics that have been configured with [Metrics without Limits™][3]) in real-time -{{< img src="metrics/volume/compare_metric_cardinality.png" alt="Metrics Volume filtered down to metric names with “shopist”, sorted by estimated custom metrics. On hover over the change in volume, displays the cardinality graph of the metric over the past day" style="width:100%;" >}} +{{< img src="metrics/volume/volume_graphs.png" alt="Estimated real-time indexed and ingested Custom Metrics volume. Upon clicking export, you can easily create a monitor or export the graph to a notebook to share." style="width:100%;" >}} ## Search, filter, and sort Use the search, filter, and sort features to understand: - Which team owns what metric names? -- Which metrics your team should focus its cost optimization efforts on? -- Which metrics have the highest cardinality, and which metrics have the highest increase in volume? +- Which metric names your team should focus on optimizing? +- Which metrics have the highest cardinality, and which metric names are spiking(aka have the highest increase in volume)? The Metric and Tag search bars provide a set of actions to filter the list of metrics. Enter keywords to search metric names. Type in any tag key value pair in the *Filter by Tag Value* box to filter the list by a specific team, application, or service. @@ -52,7 +52,7 @@ Facets can also filter your metrics by: - **Configuration**: Metrics with tag configurations - **Percentiles**: Distribution metrics enabled by percentiles/advanced query capabilities - **Historical Metrics**: Metrics that have historical metrics ingestion enabled -- **Query Activity** (Beta): Metrics not queried in the app or by the API in the past 30 days +- **Query Activity** (Beta): Metrics not actively queried in the app or by the API in the past 30 days - **Metric Type**: Differentiate between distribution and non-distribution metrics (counts, gauges, rates) - **Distribution Metric Origin**: The product from which the metric originated (for example, metrics generated from Logs or APM Spans) @@ -62,27 +62,24 @@ The Volume page displays a list of your metrics reported to Datadog sorted by es |**Top 500 Metric Names by Estimated Real-time Cardinality** | Identify the top 500 metric names by cardinality/volume.| |**Top 500 Metric Names by Change in Volume** |Discover the top 500 metric names that have the greatest variance in their cardinality. These metrics may have anomalously (potentially unintentionally) spiked in the timeframe of your choosing. If you receive an alert on your account's estimated real-time custom metrics usage, you can use this view to investigate the metric spike. | -## Compare metric cardinality +## Compare a metric's cardinality (volume) over time {{< img src="metrics/volume/compare_metric_cardinality.png" alt="Metrics Volume filtered down to metric names with “shopist”, sorted by estimated custom metrics. On hover over the change in volume, displays the cardinality graph of the metric over the past day" style="width:100%;" >}} -Cardinality refers to the number of unique sets of tag values associated with a given key. Tags with large numbers of possible values have a "high cardinality". A custom metric is identified by a unique combination of a metric's name and tag values (including the host tag). - -Compare metric cardinality to understand: - - Which metric names are causing your custom metrics bill to spike. - - What the organization's largest custom metrics are. - - What metric names have spiked recently in the past day or month. +When identifying your top 500 metric names by change in volume, you can additionally click on the number to compare a metric name's # of indexed custom metrics (its cardinality) over time. As a reminder, a single metric name can emit multiple indexed custom metrics (quick refresher on how we meter and bill for custom metrics here[6]) -To view your spiking metric's cardinality over time: +To compare your spiking metric's cardinality over time: 1. Select a time frame in the top right hand corner (the recommended time frame is **Past 1 Day** or **Past 4 Weeks**). -2. Find the metric you want to compare and in the same row click on the value under the **Change in Volume** column. This opens up a modal showing a graph comparing your metric's cardinality over time and the percentage increase in its spike. +2. Select the metric name which you want the view the cardinality over time and in the same row click on the value under the **Change in Volume** column. This opens up a modal showing a graph comparing your metric's cardinality over time and the percentage increase in its spike. 3. (Optional) Create a Change monitor for `% change` to proactively alert on this spiking metric. For more information, see the [Change Alert Monitor][2] documentation. ## Identify unqueried metrics {{< img src="metrics/volume/id_unqueried_metrics.png" alt="Facet fields for Query Activity with the 'Not actively queried' facet selected" style="width:100%;" >}} -To effectively reduce costs with Metrics without Limits, identify your highest volume or spiking metric names. To find the metrics not actively queried in the past 30 days, click on **Not Actively Queried** in the *Query Activity Facet* box. Datadog analyzes query patterns to determine valuable metrics. Selecting **Not Actively Queried** generates a list of unused metric names across dashboards, notebooks, monitors, SLOs, Metrics Explorer, and the API. +To effectively reduce costs with Metrics without Limits, organizations often start with their largest metric names that aren't valuable to the organization; in other words, ones that aren't actively queried. + +To find the metrics not actively queried in the past 30 days, click on **Not Actively Queried** in the *Query Activity Facet* box. Datadog analyzes query patterns to determine valuable metrics. Selecting **Not Actively Queried** generates a list of unused metric names across dashboards, notebooks, monitors, SLOs, Metrics Explorer, and the API. ## Reduce metric volume and cost @@ -124,3 +121,4 @@ To view a metric's related assets: [3]: /metrics/metrics-without-limits [4]: https://app.datadoghq.com/metric/volume?bulk_manage_tags=true&facet.query_activity=-queried&sort=volume_total [5]: #reduce-metric-volume-and-cost +[6]: https://docs.datadoghq.com/account_management/billing/custom_metrics/?tab=countrategauge From 1c97434494e727fe88ed37b221bc388e85d7237c Mon Sep 17 00:00:00 2001 From: "Kathy L." Date: Wed, 31 Jul 2024 11:56:02 -0400 Subject: [PATCH 15/23] Update volume.md Updated structure --- content/en/metrics/volume.md | 30 +++++++++++++----------------- 1 file changed, 13 insertions(+), 17 deletions(-) diff --git a/content/en/metrics/volume.md b/content/en/metrics/volume.md index fbad682daa345..058b1e79aeea8 100644 --- a/content/en/metrics/volume.md +++ b/content/en/metrics/volume.md @@ -31,8 +31,8 @@ With the Metrics Volume Management page you can quickly answer the following que - Which team owns these Top 500 metric names and is responsible for optimizing? - Which metrics are actually valuable (or not) to my organization? -## Real-time visibility and monitoring on your account's estimated Custom Metrics usage -Datadog provides you real-time estimated usage metrics OOTB so you can understand and alert on your usage in real-time. You can quickly see a breakdown of: +## Real-time visibility and monitoring on your organization's Custom Metrics usage +Datadog provides you real-time _estimated_ usage metrics OOTB so you can understand and alert on your usage in real-time. You can quickly see a breakdown of: - Your account's indexed custom metrics volume in real-time (and how much of that indexed volume hasn't been optimized with [Metrics without Limits™][3] yet) - Your account's ingested custom metrics (emitted from metrics that have been configured with [Metrics without Limits™][3]) in real-time @@ -59,38 +59,37 @@ Facets can also filter your metrics by: The Volume page displays a list of your metrics reported to Datadog sorted by estimated custom metrics or by the change in volume. To sort metrics by either of these options, click on the column header of the metric table. | Column | Description | |--------|-------------| -|**Top 500 Metric Names by Estimated Real-time Cardinality** | Identify the top 500 metric names by cardinality/volume.| +|**Top 500 Metric Names by Estimated Real-time Cardinality** | Identify the top 500 metric names by cardinality (aka custom metrics volume).| |**Top 500 Metric Names by Change in Volume** |Discover the top 500 metric names that have the greatest variance in their cardinality. These metrics may have anomalously (potentially unintentionally) spiked in the timeframe of your choosing. If you receive an alert on your account's estimated real-time custom metrics usage, you can use this view to investigate the metric spike. | ## Compare a metric's cardinality (volume) over time {{< img src="metrics/volume/compare_metric_cardinality.png" alt="Metrics Volume filtered down to metric names with “shopist”, sorted by estimated custom metrics. On hover over the change in volume, displays the cardinality graph of the metric over the past day" style="width:100%;" >}} -When identifying your top 500 metric names by change in volume, you can additionally click on the number to compare a metric name's # of indexed custom metrics (its cardinality) over time. As a reminder, a single metric name can emit multiple indexed custom metrics (quick refresher on how we meter and bill for custom metrics here[6]) +When identifying your top 500 metric names by change in volume, you can additionally hover over the number to compare a metric name's # of indexed custom metrics (its cardinality) over time. As a reminder, a single metric name can emit multiple indexed custom metrics (quick refresher on how we meter and bill for custom metrics here[6]) To compare your spiking metric's cardinality over time: 1. Select a time frame in the top right hand corner (the recommended time frame is **Past 1 Day** or **Past 4 Weeks**). 2. Select the metric name which you want the view the cardinality over time and in the same row click on the value under the **Change in Volume** column. This opens up a modal showing a graph comparing your metric's cardinality over time and the percentage increase in its spike. 3. (Optional) Create a Change monitor for `% change` to proactively alert on this spiking metric. For more information, see the [Change Alert Monitor][2] documentation. -## Identify unqueried metrics +## Identify less valuable, unqueried metrics {{< img src="metrics/volume/id_unqueried_metrics.png" alt="Facet fields for Query Activity with the 'Not actively queried' facet selected" style="width:100%;" >}} -To effectively reduce costs with Metrics without Limits, organizations often start with their largest metric names that aren't valuable to the organization; in other words, ones that aren't actively queried. +To start reducing custom metrics costs, organizations often start with their largest metric names that aren't valuable to the organization; in other words, ones that aren't actively queried. Datadog's intelligent query insights analyze your queries and surfaces your unqueried metrics over the past 30 days. Our analysis is constantly running in the background ensuring that your unqueried metrics are always up-to-date and available self-service. -To find the metrics not actively queried in the past 30 days, click on **Not Actively Queried** in the *Query Activity Facet* box. Datadog analyzes query patterns to determine valuable metrics. Selecting **Not Actively Queried** generates a list of unused metric names across dashboards, notebooks, monitors, SLOs, Metrics Explorer, and the API. +To find the metrics not actively queried in the past 30 days, click on **Not Actively Queried** in the *Query Activity Facet* box. Selecting **Not Actively Queried** generates a list of unused metric names across dashboards, notebooks, monitors, SLOs, Metrics Explorer, and the API. -## Reduce metric volume and cost +## How to quickly reduce metric volume and cost -After you identify unqueried metrics, you can eliminate the volume and cost of these metric names by using [Metrics without Limits™][3]: +After you identify unqueried metrics, you can quickly and confidently eliminate the volume and cost of these metric names by using [Metrics without Limits™][3] without a single line of code. By using Metrics without Limits, you ensure that you pay only for the metrics that you use by eliminating timeseries that are never or rarely leveraged. Based on our intelligent query insights, the average customer's custom metrics volume can be reduced by 70% if they were to use Metrics without Limits on their unqueried metric names. -1. Click on the metric name to open its details side panel. -2. Click the **Manage Tags** button to open the tag configuration modal. +To configure multiple unqueried metrics at once +1. Click the **Configure Metrics** dropdown and select **Manage Tags** to open the [Metrics without Limits™ Tag configuration modal][4]. +2. Specify the metric namespace of the unqueried metrics you'd like to apply a bulk tag configuration to. 3. Select **Include tags…** and set an empty allowlist of tags. -You can also click the **Configure Metrics** dropdown and select **Manage Tags** to open the [Metrics without Limits™ Tag configuration modal][4]. - {{< img src="metrics/volume/configure_metrics.png" alt="Configure Metric dropdown at the top of the page highlighting the Manage tags option" style="width:100%;" >}} You have full control over the cardinality of your metrics without the need to change your applications nor the requirement of a remote-write setup. Below is an example of how eliminating timeseries that are rarely used can significantly reduce your custom metrics volumes and costs. @@ -100,10 +99,7 @@ In this example, the tag configuration modal shows a metric with a current volum {{< img src="metrics/volume/reduce_metric_vol_cost_tags.png" alt="Tag configuration modal showing an example metric with a current volume of 13690031 index metrics and an estimated new volume of 1, with an empty allowlist of tags" style="width:80%;" >}} ## Analyze metric utilization in Datadog - -
Related Assets is in public beta
- -Assess the value of metrics queried but underutilized in Datadog with metrics-related assets. A metrics-related asset refers to any dashboard, notebook, monitor, or SLO that queries a particular metric. Use related asset popularity and quantity to evaluate metric utility within your organization, enabling data-driven decisions. Gain a better understanding of how your team can utilize existing metrics to get more value from your observability spend and [reduce metric volume and cost]. +As part of our Metrics without Limits suite of governance features, you can now quickly pinpoint valuable metrics that are underutilized in Datadog with the Metrics Related Assets feature. A metrics related asset refers to any dashboard, notebook, monitor or SLO that queries a particular metric. Our intelligent query insights surface the popularity of these related assets as well as the quantity so you can evaluate metric utility within your organization, enabling data-driven decisions. This feature allows you to identify how your team can utilize existing metrics to get more value from your observability spend and [reduce metric volume and cost]. {{< img src="metrics/volume/related_assets.png" alt="Metric detail side panel showing the Related Assets section. The example metric is applied to one dashboard" style="width:100%;" >}} From c3c5821035453babdaa2a13afca2d73eec3f9dbd Mon Sep 17 00:00:00 2001 From: "Kathy L." Date: Wed, 31 Jul 2024 11:56:38 -0400 Subject: [PATCH 16/23] Update volume.md --- content/en/metrics/volume.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/metrics/volume.md b/content/en/metrics/volume.md index 058b1e79aeea8..f655bd98bbd63 100644 --- a/content/en/metrics/volume.md +++ b/content/en/metrics/volume.md @@ -98,7 +98,7 @@ In this example, the tag configuration modal shows a metric with a current volum {{< img src="metrics/volume/reduce_metric_vol_cost_tags.png" alt="Tag configuration modal showing an example metric with a current volume of 13690031 index metrics and an estimated new volume of 1, with an empty allowlist of tags" style="width:80%;" >}} -## Analyze metric utilization in Datadog +## Analyze metrics' utility and relative value in Datadog As part of our Metrics without Limits suite of governance features, you can now quickly pinpoint valuable metrics that are underutilized in Datadog with the Metrics Related Assets feature. A metrics related asset refers to any dashboard, notebook, monitor or SLO that queries a particular metric. Our intelligent query insights surface the popularity of these related assets as well as the quantity so you can evaluate metric utility within your organization, enabling data-driven decisions. This feature allows you to identify how your team can utilize existing metrics to get more value from your observability spend and [reduce metric volume and cost]. {{< img src="metrics/volume/related_assets.png" alt="Metric detail side panel showing the Related Assets section. The example metric is applied to one dashboard" style="width:100%;" >}} From ab8e9632c109a30f2d0b2e04e7a043139c8b5926 Mon Sep 17 00:00:00 2001 From: "Kathy L." Date: Fri, 2 Aug 2024 10:15:42 -0400 Subject: [PATCH 17/23] Update content/en/metrics/volume.md Co-authored-by: Esther Kim --- content/en/metrics/volume.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/metrics/volume.md b/content/en/metrics/volume.md index f655bd98bbd63..b7329a2cfb1c6 100644 --- a/content/en/metrics/volume.md +++ b/content/en/metrics/volume.md @@ -22,7 +22,7 @@ Cloud-based applications generate massive amounts of data, which can be overwhel Datadog's [Metrics Volume Management page][1] provides comprehensive visibility and intelligent insights for which metrics you should focus your cost-optimization efforts. When used with [Metrics without Limits™][3], Metrics Volume allows for flexible configuration of metrics ingestion and indexing to reduce costs without sacrificing accuracy. -With the Metrics Volume Management page you can quickly answer the following questions in real-time: +With the Metrics Volume Management page you can access the following in real-time: - What is my overall account's realtime estimated Indexed Custom Metrics usage? - What is my overall account's realtime estimated Ingested Custom Metrics usage? - What are the Top 500 largest Metrics without Limits configured metric names by Ingested Custom Metrics volume? From 3369985aa54067c754abe26b2ba031bb51ec62b3 Mon Sep 17 00:00:00 2001 From: "Kathy L." Date: Fri, 2 Aug 2024 10:24:42 -0400 Subject: [PATCH 18/23] Update content/en/metrics/volume.md Co-authored-by: Esther Kim --- content/en/metrics/volume.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/metrics/volume.md b/content/en/metrics/volume.md index b7329a2cfb1c6..9802b9054a500 100644 --- a/content/en/metrics/volume.md +++ b/content/en/metrics/volume.md @@ -66,7 +66,7 @@ The Volume page displays a list of your metrics reported to Datadog sorted by es {{< img src="metrics/volume/compare_metric_cardinality.png" alt="Metrics Volume filtered down to metric names with “shopist”, sorted by estimated custom metrics. On hover over the change in volume, displays the cardinality graph of the metric over the past day" style="width:100%;" >}} -When identifying your top 500 metric names by change in volume, you can additionally hover over the number to compare a metric name's # of indexed custom metrics (its cardinality) over time. As a reminder, a single metric name can emit multiple indexed custom metrics (quick refresher on how we meter and bill for custom metrics here[6]) +When identifying the top 500 metric names by change in volume, you can hover over the number to compare a metric name's number of indexed custom metrics (its cardinality) over time. As a reminder, a single metric name can emit multiple indexed custom metrics. To learn more, see [Custom Metrics Billing][6]. To compare your spiking metric's cardinality over time: 1. Select a time frame in the top right hand corner (the recommended time frame is **Past 1 Day** or **Past 4 Weeks**). From be425db708fa618fdc503e57ff29aefa287c2772 Mon Sep 17 00:00:00 2001 From: "Kathy L." Date: Fri, 2 Aug 2024 10:25:10 -0400 Subject: [PATCH 19/23] Update content/en/metrics/volume.md Co-authored-by: Esther Kim --- content/en/metrics/volume.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/metrics/volume.md b/content/en/metrics/volume.md index 9802b9054a500..22baae26c44b9 100644 --- a/content/en/metrics/volume.md +++ b/content/en/metrics/volume.md @@ -70,7 +70,7 @@ When identifying the top 500 metric names by change in volume, you can hover ove To compare your spiking metric's cardinality over time: 1. Select a time frame in the top right hand corner (the recommended time frame is **Past 1 Day** or **Past 4 Weeks**). -2. Select the metric name which you want the view the cardinality over time and in the same row click on the value under the **Change in Volume** column. This opens up a modal showing a graph comparing your metric's cardinality over time and the percentage increase in its spike. +2. Select the metric name that you want to view the cardinality over time, and in the same row click on the value under the **Change in Volume** column. This opens up a modal showing a graph comparing your metric's cardinality over time and the percentage increase in its spike. 3. (Optional) Create a Change monitor for `% change` to proactively alert on this spiking metric. For more information, see the [Change Alert Monitor][2] documentation. ## Identify less valuable, unqueried metrics From c877916956e04545b067d79e30721743a3260b49 Mon Sep 17 00:00:00 2001 From: "Kathy L." Date: Fri, 2 Aug 2024 10:25:29 -0400 Subject: [PATCH 20/23] Update content/en/metrics/volume.md Co-authored-by: Esther Kim --- content/en/metrics/volume.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/metrics/volume.md b/content/en/metrics/volume.md index 22baae26c44b9..d1e5ecce0c526 100644 --- a/content/en/metrics/volume.md +++ b/content/en/metrics/volume.md @@ -71,7 +71,7 @@ When identifying the top 500 metric names by change in volume, you can hover ove To compare your spiking metric's cardinality over time: 1. Select a time frame in the top right hand corner (the recommended time frame is **Past 1 Day** or **Past 4 Weeks**). 2. Select the metric name that you want to view the cardinality over time, and in the same row click on the value under the **Change in Volume** column. This opens up a modal showing a graph comparing your metric's cardinality over time and the percentage increase in its spike. -3. (Optional) Create a Change monitor for `% change` to proactively alert on this spiking metric. For more information, see the [Change Alert Monitor][2] documentation. +3. (Optional) Create a Change monitor for `% change` to alert on this spiking metric. For more information, see the [Change Alert Monitor][2] documentation. ## Identify less valuable, unqueried metrics From d2fbe698979a46e83cca36050506f17d3faa2c32 Mon Sep 17 00:00:00 2001 From: "Kathy L." Date: Fri, 2 Aug 2024 10:25:44 -0400 Subject: [PATCH 21/23] Update content/en/metrics/volume.md Co-authored-by: Esther Kim --- content/en/metrics/volume.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/metrics/volume.md b/content/en/metrics/volume.md index d1e5ecce0c526..47e85e32bed71 100644 --- a/content/en/metrics/volume.md +++ b/content/en/metrics/volume.md @@ -77,7 +77,7 @@ To compare your spiking metric's cardinality over time: {{< img src="metrics/volume/id_unqueried_metrics.png" alt="Facet fields for Query Activity with the 'Not actively queried' facet selected" style="width:100%;" >}} -To start reducing custom metrics costs, organizations often start with their largest metric names that aren't valuable to the organization; in other words, ones that aren't actively queried. Datadog's intelligent query insights analyze your queries and surfaces your unqueried metrics over the past 30 days. Our analysis is constantly running in the background ensuring that your unqueried metrics are always up-to-date and available self-service. +To start reducing custom metrics costs, start with your largest metric names that aren't actively queried. Datadog's intelligent query insights analyze your queries and surfaces your unqueried metrics over the past 30 days. This analysis is constantly running in the background ensuring that your unqueried metrics are always up-to-date. To find the metrics not actively queried in the past 30 days, click on **Not Actively Queried** in the *Query Activity Facet* box. Selecting **Not Actively Queried** generates a list of unused metric names across dashboards, notebooks, monitors, SLOs, Metrics Explorer, and the API. From d8624c5ea551bdd92b127cd70e6c86c371fc4539 Mon Sep 17 00:00:00 2001 From: "Kathy L." Date: Fri, 2 Aug 2024 10:30:11 -0400 Subject: [PATCH 22/23] Update content/en/metrics/volume.md Co-authored-by: Esther Kim --- content/en/metrics/volume.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/metrics/volume.md b/content/en/metrics/volume.md index 47e85e32bed71..13d6d3c728cdc 100644 --- a/content/en/metrics/volume.md +++ b/content/en/metrics/volume.md @@ -99,7 +99,7 @@ In this example, the tag configuration modal shows a metric with a current volum {{< img src="metrics/volume/reduce_metric_vol_cost_tags.png" alt="Tag configuration modal showing an example metric with a current volume of 13690031 index metrics and an estimated new volume of 1, with an empty allowlist of tags" style="width:80%;" >}} ## Analyze metrics' utility and relative value in Datadog -As part of our Metrics without Limits suite of governance features, you can now quickly pinpoint valuable metrics that are underutilized in Datadog with the Metrics Related Assets feature. A metrics related asset refers to any dashboard, notebook, monitor or SLO that queries a particular metric. Our intelligent query insights surface the popularity of these related assets as well as the quantity so you can evaluate metric utility within your organization, enabling data-driven decisions. This feature allows you to identify how your team can utilize existing metrics to get more value from your observability spend and [reduce metric volume and cost]. +Metrics without Limits™ allows you to quickly find metrics that are underused in Datadog with the Metrics Related Assets feature. A metrics related asset refers to any dashboard, notebook, monitor, or SLO that queries a particular metric. Datadog's intelligent query insights surface the popularity and quantity of these related assets so you can evaluate metric utility within your organization. Use this information to make data-driven decisions. Identify how your team can use existing metrics to get more value from your observability spend and reduce metric volume and cost. {{< img src="metrics/volume/related_assets.png" alt="Metric detail side panel showing the Related Assets section. The example metric is applied to one dashboard" style="width:100%;" >}} From 44da270747ce8de73a4e3967a6b6677bc6bef630 Mon Sep 17 00:00:00 2001 From: "Kathy L." Date: Fri, 2 Aug 2024 13:22:26 -0400 Subject: [PATCH 23/23] Update content/en/metrics/volume.md Co-authored-by: Esther Kim --- content/en/metrics/volume.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/metrics/volume.md b/content/en/metrics/volume.md index 13d6d3c728cdc..b97cd857465f9 100644 --- a/content/en/metrics/volume.md +++ b/content/en/metrics/volume.md @@ -83,7 +83,7 @@ To find the metrics not actively queried in the past 30 days, click on **Not Act ## How to quickly reduce metric volume and cost -After you identify unqueried metrics, you can quickly and confidently eliminate the volume and cost of these metric names by using [Metrics without Limits™][3] without a single line of code. By using Metrics without Limits, you ensure that you pay only for the metrics that you use by eliminating timeseries that are never or rarely leveraged. Based on our intelligent query insights, the average customer's custom metrics volume can be reduced by 70% if they were to use Metrics without Limits on their unqueried metric names. +After you identify unqueried metrics, you can eliminate the volume and cost of these metric names by using [Metrics without Limits™][3] without a single line of code. By using Metrics without Limits, you ensure that you pay only for the metrics that you use by eliminating timeseries that are never or rarely leveraged. Use Metrics without Limits™ on your unqueried metric names to reduce custom metrics volume. To configure multiple unqueried metrics at once 1. Click the **Configure Metrics** dropdown and select **Manage Tags** to open the [Metrics without Limits™ Tag configuration modal][4].

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