Metrics pipeline management in Splunk Infrastructure Monitoring 🔗

Available in Enterprise Edition. For more information, see Subscription types, expansions, renewals, and terminations.

Metrics pipeline management (MPM) allows you to centrally manage metric cardinality by defining how you ingest and store your metrics. Use the following links to navigate the documentation set for metrics pipeline management:

Introduction to metrics pipeline management

Use data routing to keep, archive, or discard your metrics

Use aggregation rules to control your data volume

Impact and benefits of archiving or dropping data

Understand your metrics usage with the metrics usage report

Scenario: Improve storage use and costs by routing and archiving your data

Scenario: Combine aggregation and dropping rules to control your metric cardinality and volume

Related org metrics for metrics pipeline management

This page was last updated on Nov 13, 2024.

Was this topic useful?

Did you know that you can edit this page? Learn how!

Was this documentation topic helpful?

Enter your email address if you would like someone from the documentation team to reply to your question or suggestion.

Please provide your comments here. Ask a question or make a suggestion.

Comment should have a minimum of 5 characters and a maximum of 1,000 characters.

Feedback submitted, thank you! We resolve documentation feedback based on the severity of the issue reported, as well as an assessment of the potential number of customers who might be affected.

If you have a question about using Splunk software, we encourage you to check Splunk Answers or Splunk community Slack to see if similar questions have been answered, or to post your question for others to answer. If you have an active support entitlement and believe that your situation is caused by a product defect, file a support case in the Support portal https://login.splunk.com/page/sso_redirect?type=portal.

We are currently moving to a new documentation site. Expect a delay in responding to your feedback and applying any updates based on your feedback. Thank you for your patience and understanding while we work to bring you an improved documentation experience!