Skip to main content
Use the Overview page to monitor aggregate pipeline run health across your project. The monitoring panels show recent run status, failing runs, active runs, and trigger activity for the selected time range. Monitoring

​
Metrics

Here are the following metrics that are monitored for each pipeline and block:
  • Pipeline runs completed successfully
  • Pipeline runs failed
  • Block runs completed successfully
  • Block runs failed
  • How long each block ran for
  • CPU usage for Kubernetes block and pipeline runs in Mage Pro
  • Memory usage for Kubernetes block and pipeline runs in Mage Pro
  • Data validation success for each block (coming soon)
  • Data validation failure for each block (coming soon)
For pipelines that run with the Kubernetes executor in Mage Pro, the pipeline monitoring dashboard can show historical peak CPU and memory usage, sample counts, and copied resource request and limit recommendations based on stored run metrics. See Monitoring with Prometheus to set up Prometheus as the preferred resource usage source.

​
Overview monitoring actions

The Overview page includes actions for the monitoring panels:
  • Fix runs opens AI Sidekick with a prompt to investigate failing runs for the selected time range.
  • Analyze runs opens AI Sidekick with a prompt to inspect active runs for the selected time range.
  • View triggers opens the trigger list, preserving the selected compute cluster filter when one is active.