Docs » Metrics in Splunk Observability Cloud » Metric categories

Metric categories đź”—

These are the available categories for metrics in Splunk Observability Cloud:

Billing class

Metrics included

Custom metrics

Metrics reported to Splunk Observability Cloud outside of those reported by default, such as host, container, or bundled metrics. Custom metrics might result in increased data ingest costs.

APM Monitoring MetricSets

Includes metrics from APM Monitoring MetricSets. See Learn about MetricSets in APM for more information.

RUM Monitoring MetricSets

Includes metrics from RUM Monitoring MetricSets. See Filter and troubleshoot with custom tags for more information.

Default/bundled metrics (Infrastructure)

  • Host

  • Container

  • Bundled

  • Additional metrics sent through infrastructure monitoring public cloud integrations that aren’t attributed to specific hosts or containers.

Default/bundled metrics (APM)

  • Host

  • Container

  • Identity

  • Bundled

  • Tracing

  • Runtime

  • Synthetics

Other metrics

Internal metrics

Note

Usage analytics doesn’t support APM Monitoring MetricSets, RUM Monitoring MetricSets, or default/bundles APM metrics, so you can’t view these metrics in usage analytics. To learn more about usage analytics, see Analyze your metric usage in Splunk Observability Cloud.

Identify and track the category of a metric đź”—

In host-based plans, the category of a metric might impact billing.

To keep track of the type of metrics you’re ingesting, Splunk Observability Cloud provides you with different tools and reports:

  • Custom metric report. It shows the information on MTS associated with data points sent from hosts or containers, as well as information related to custom, high-resolution, and bundled MTS, for a specified date.

  • Metric Pipeline Management’s usage report. It gives a detailed breakdown of your MTS creation and usage.

  • Track specific org metrics with custom metric information. See more in View organization metrics for Splunk Observability Cloud.

Use Signalflow to look for a metric’s category 🔗

You can use SignalFlow to query for the sf_mtsCategoryType dimension, which indicates the metric category.

For example, to look for the top 10 custom metrics you’re ingesting, use the following query with the * character:

A = data('*', filter=filter('sf_mtsCategoryType', '3')).count(by="sf_metric").top(10).publish(label='A')

To only look at specific metrics, use their specific metric name.

Learn more in SignalFlow and analytics.

This page was last updated on Nov 22, 2024.