rum-metrics-retention

To create custom RUM metrics for tracking user session durations, you use this Skill to list, create, update, and delete metrics for Real User Monitoring event tracking. It requires Datadog API access and environment variables for authentication to manage the metrics effectively.

You can set up Datadog RUM retention filters to keep sessions with errors by using this Skill to create and manipulate data retention policies. This enables you to retain specific Real User Monitoring events for further analysis based on your configured criteria.

The supported RUM event types for creating metrics and retention filters include session, view, action, error, resource, long_task, and vital. This allows comprehensive coverage of Real User Monitoring data for tracking and retention purposes.

Yes, you need Datadog API access and properly configured environment variables for authentication to manage Real User Monitoring retention policies. This access is required to securely interact with the Datadog API and manipulate your retention filters.

Yes, you can update existing RUM metrics and retention filters without deleting them. The Skill supports full lifecycle management, allowing you to modify custom metrics and data retention policies directly while maintaining your existing configurations.

The best way to automate user monitoring data retention in Datadog is by using scripts to manage retention filters programmatically. This Skill provides scripts and references to control data retention policies for Real User Monitoring events automatically.