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Change Tracking streamlines troubleshooting and incident response by surfacing relevant changes to your service and its dependencies, enabling faster detection and remediation when issues arise.
Change Tracking supports monitoring of a range of modifications to your service and its dependencies including:
For details on specific types of supported changes and setup requirements, see the Tracked changes section.
Change Tracking is available on several pages in Datadog:
View and analyze changes from the monitor status page.
To use change tracking on the Monitor Status Page, ensure the appropriate service has been:
service
tag on the monitor.View and analyze changes from the service page.
View and analyze changes from any dashboard.
To see relevant changes within the timeline and as overlays on your dashboard, ensure you have set at least one timeseries widget.
Change Tracking follows these types of changes across your infrastructure:
Change Type | Tracking Requirements |
---|---|
Code Deployments (APM) | APM & Deployment Tracking. A version must be available on the service. |
Kubernetes Deployment Manifest Updates | Datadog Agent Set Up for Kubernetes (Add service label to kubernetes yaml file if possible) |
LaunchDarkly Feature Flag Events (service tag must be defined on event) | Third Party Datadog Integrations (LaunchDarkly only) |
Custom Feature Flag Events | Event Management API |
Watchdog Alerts (Error Rate Spikes, Latency Spikes, Cloud and API Outages, etc.). | See Watchdog documentation to learn more about requirements for specific Watchdog Alerts. |
CrashLoopBackOff Kubernetes Pod Crashes | Kubernetes Integration (Add service label to kubernetes yaml file if possible) |
PostgreSQL Database Table Change | Database Monitoring (DBM), Correlate Database Monitoring and Traces |
PostgreSQL Database Settings Change | Database Monitoring (DBM), Correlate Database Monitoring and Traces |
Kafka Schema Updates | Data Streams Monitoring (DSM) |
Manual Kubernetes Deployment Scale Events | Kubernetes Audit Logging |