For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
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DocsGuidesSDKsIntegrationsAPI docsTutorialsFlagship blog
  • Integrations
    • Collaboration tools
    • Data Export
    • Edge tools
    • Environments as a service
    • Experimentation and metric integrations
    • Internal developer platforms
    • Monitoring tools
      • AppDynamics
      • AWS CloudWatch RUM
      • Chronosphere
      • Datadog
        • Using the Datadog events integration
        • Using the Datadog dashboard widget
        • Using flag triggers with Datadog
        • Using the Datadog RUM integration
      • Dynatrace
      • Elastic (ELK) Stack
      • Grafana
      • Honeycomb
      • Last9
      • Mezmo
      • New Relic One
      • PagerDuty for guarded rollouts
      • Splunk
      • Splunk Observability Cloud (formerly SignalFx)
    • Segments integrations
    • Workflow management tools
    • More integrations
    • Managing integrations
    • Using the LaunchDarkly integration framework
    • Building partner integrations
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IntegrationsMonitoring toolsDatadog

Datadog RUM

This topic links to Datadog’s documentation for its LaunchDarkly Real User Monitoring (RUM) integration. Datadog is an observability service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS-based data analytics platform.

You can send feature flag evaluation data from the LaunchDarkly JavaScript SDK to Datadog as event properties.

To learn more, read Datadog’s Getting Started with Feature Flag Data in RUM documentation.

For an example of instrumenting a RUM application, read Datadog’s guide Remotely configure RUM using LaunchDarkly.

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