For AI agents: A markdown version of this page is available at https://docs.datadoghq.com/observability_pipelines/monitoring_and_troubleshooting.md.
A documentation index is available at /llms.txt.
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After setting up pipelines and scaling Workers:
If you are trying to troubleshoot an issue with the Observability Pipelines Worker, see Worker CLI Commands on how to see the raw data sent to the Worker.
You can track the status of your pipelines and components with health graphs and out-of-the-box monitors. See Monitoring Pipelines for more information.
You can also create your monitors, dashboards, and notebooks to monitor your pipelines. See Pipeline Usage Metrics for a list of metrics.
If you run into issues with Observability Pipelines, see Troubleshooting.
