Metrics Summary

Overview

The Metrics Summary page displays a list of your metrics reported to Datadog under a specified time frame: the past hour, day, or week.

Search your metrics by metric name or tag using the Metric or Tag search fields:

Tag filtering supports boolean and wildcard syntax so that you can quickly identify:

  • Metrics that are tagged with a particular tag key, for example, team: team:*
  • Metrics that are missing a particular tag key, for example, team: NOT team:*

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)
  • Metric Origin: The product from which the metric originated (for example, metrics generated from Logs or APM Spans). To learn more about the different metric origin types, see Metric origin definitions.

Note: A metric included on a Dashboard that has not been loaded by a user in the last 30 days would not be considered actively queried.

Metrics Facet Panel

Configuration of multiple metrics

There are two buttons that allow you to configure multiple metrics at a time:

Bulk Configuration Buttons
  • Calculate Percentiles: Add percentile aggregations to multiple distribution metrics.
Bulk Percentiles
  • Configure Tags: Configure tags on multiple custom metrics matching a namespace using Metrics without Limits™

Metric details sidepanel

Click on any metric name to display its details sidepanel for more information regarding the metric’s metadata and tags:

Metric panel

Metric name

The name of your metric in the Metrics Explorer, dashboards, 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 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™ 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.

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.

Metric unit

The unit for your metric (byte, second, request, query, etc.). See the metric unit page for more details.

When submitting custom metrics to Datadog, it is possible to change the unit of measurement 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 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, 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. Use this field to update the descriptions for your custom metrics.

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.

Learn more about tagging.

Related Assets for a specified metrics name

To determine the value of any metric name to your organization, use Metrics Related Assets. Metrics related assets refers to any dashboard, notebook, monitor, or SLO that queries a particular metric.

  1. Scroll to the bottom of the metric’s details side panel to the “Related Assets” section.
  2. 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.

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.

Configuring tags on a distribution
  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 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
Refine aggregations on counts, rates, and gauges

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.

Metric origin definitions

This table shows the mapping between the metric origin as seen in the facet and where it was submitted from:

Metric OriginSubmitted from
API CatalogStandard Metrics sent by the Datadog API Catalog product from the APIM Endpoint.
APMCustom Metrics sent by the Datadog APM product for metrics generated from traces and span metrics.
AgentStandard Metrics sent by the Datadog agent, collected from Agent integrations, or built-in integrations.
CSMStandard Metrics sent by the Datadog Cloud Security Monitoring product.
Cloud IntegrationsStandard Metrics collected from cloud providers like AWS, Azure, and Google Cloud etc. from their respective integrations.
DBMStandard Metrics sent by the Datadog Database Monitoring product, including insights into MySQL, Oracle, and Postgres activities/queries/locks.
DSMStandard Metrics sent by the Datadog Data Streams Monitoring product, for metrics generated from the DSM spans and traces.
Datadog ExporterStandard Metrics sent by the OpenTelemetry Collector or the Datadog Exporter.
Datadog PlatformStandard Metrics sent by metrics intake that are used to report metrics usage.
EventsCustom Metrics generated from the Datadog Events platform.
LLM ObservabilityCustom Metrics emitted by the LLM Observability product using the lmobs_to_metrics service.
LogsCustom Metrics generated from the Datadog Logs platform.
Metrics APICustom Metrics sent using Datadog’s OTLP Ingestion endpoint and OTel receiver with a Datadog integration counterparts or points for estimated usage metrics or Datadog API Client.
NPMStandard Metrics sent by the Datadog Network Performance Monitoring product.
Observability PipelinesStandard Metrics sent by the Datadog Observability Pipielines including error and performance metrics.
OtherCustom Metrics that don’t have a DD integration counterpart.
ProcessesCustom Metrics generated from the Datadog Processes product.
RUMStandard Metrics generated from the Datadog Real User Monitoring product.
SAAS IntegrationsStandard Metrics collected from popular SAAS platforms like Slack, Docker, PagerDuty etc.
ServerlessCustom Metrics sent by the Datadog Serverless platform including Function, App Services, Cloud Run, and Container App Metrics.
Service CatalogStandard Metrics sent by the Datadog Service Catalog product including Scorecard metrics.
Synthetic MonitoringSynthetic monitoring and continuous testing metrics generated from the Datadog Synthetic Monitoring product.
USMCustom Metrics generated from the Datadog Universal Service Monitoring product.

Further reading

Additional helpful documentation, links, and articles: