> For clean Markdown of any page, append .md to the page URL. > For a complete documentation index, see https://launchdarkly.com/docs/llms.txt. > For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://launchdarkly.com/_mcp/server. # Datadog > This topic explains the LaunchDarkly Datadog integrations available, including events and triggers. This topic explains the LaunchDarkly Datadog integrations available, including events, the dashboard widget, triggers, and Real User Monitoring (RUM). [Datadog](https://www.datadoghq.com/) is a infrastructure & application monitoring service that offers [application performance management (APM)](https://en.m.wikipedia.org/wiki/Application_performance_management) and analytics. ## Events > **The Datadog events integration is available to customers on select plans** > > The Datadog events integration is only available to customers on select plans. To learn more, [read about our pricing](https://launchdarkly.com/pricing/). To upgrade your plan, [contact Sales](https://launchdarkly.com/contact-sales/). The Datadog events integration lets you set up [Datadog Events](https://docs.datadoghq.com/api/?lang=bash#events) to receive activity from LaunchDarkly. When something changes, such as a feature flag updates or a new account member is added, LaunchDarkly can send an event to Datadog. To learn how, read [Using the Datadog events integration](/integrations/datadog/events). ## Dashboard widget > **This integration is deprecated** > > The Datadog UI extensions have been deprecated by Datadog as of March 31, 2025. You can recreate the functionality using the Datadog App Builder. To learn how, read [Using the Datadog dashboard widget](/integrations/datadog/dashboard-widget). The Datadog dashboard widget lets you pin feature flags to your Datadog dashboards to monitor and toggle flags from within Datadog. To learn how to set up the widget, read [Using the Datadog dashboard widget](/integrations/datadog/dashboard-widget). ## Triggers > **Flag triggers are available to customers on select plans** > > Flag triggers are only available to customers on select plans. To learn more, [read about our pricing](https://launchdarkly.com/pricing/). To upgrade your plan, [contact Sales](https://launchdarkly.com/contact-sales/). LaunchDarkly supports using flag triggers with Datadog. You can use flag triggers to automate flag changes. For example, you can create an alert in Datadog that toggles a flag's targeting on or off if a performance metric drops below a certain threshold. To learn how, read [Using flag triggers with Datadog](/integrations/datadog/triggers). ## Datadog RUM > **The Datadog RUM integration is available to customers on select plans** > > The Datadog RUM integration is only available to customers on select plans. To learn more, [read about our pricing](https://launchdarkly.com/pricing/). To upgrade your plan, [contact Sales](https://launchdarkly.com/contact-sales/). Datadog's LaunchDarkly RUM integration allows you to send feature flag evaluation data from the LaunchDarkly [JavaScript SDK](/sdk/client-side/javascript) to Datadog as event properties. To learn how, read [Datadog RUM](/integrations/datadog/rum). > This topic explains the LaunchDarkly Datadog integrations available, including events and triggers. ## Docs - [Using the Datadog events integration](https://launchdarkly.com/docs/integrations/datadog/events.md): This topic explains how to configure and use the LaunchDarkly Datadog events integration. - [Using the Datadog dashboard widget](https://launchdarkly.com/docs/integrations/datadog/dashboard-widget.md): This topic explains how to configure and use the LaunchDarkly Datadog dashboard widget. - [Using flag triggers with Datadog](https://launchdarkly.com/docs/integrations/datadog/triggers.md): This topic explains how to use LaunchDarkly's trigger feature with Datadog. - [Datadog RUM](https://launchdarkly.com/docs/integrations/datadog/rum.md): This topic explains how to send LaunchDarkly feature flag evaluation data to Datadog Real User Monitoring (RUM) and how to use that data once it arrives.