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On this page
  • Issues drawer
  • Details tab
  • Events tab
  • Traces tab
  • Logs tab
  • Map tab
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  1. Use groundcover
  2. Monitors

Issues page

View and analyze monitor issues with detailed timelines, metadata, and context to quickly identify and resolve problems in your environment.

Last updated 3 months ago

The Issues page provides a detailed view of active and resolved issues triggered by Monitors. This page helps users investigate, analyze, and resolve problems in their environment by visualizing issue trends and providing in-depth context through an issue drawer.

Issues drawer

Clicking on an issue in the Issues List opens the Issue drawer, which provides an in-depth view of the Monitor and its triggered issue. You can also navigate if possible to related entities like workload, node, pod, etc.

Details tab

Displays metadata about the issue, including:

  • Monitor Name: Name of the Monitor responsible for the issue, including a link to it.

  • Description: Explains what the Monitor tracks and why it triggered.

  • Severity: Shows the assigned severity level (e.g., S3).

  • Labels: Lists contextual labels like cluster, namespace, and workload.

  • Creation Time: Shows when the issue started firing.

Events tab

Displays the Kubernetes events related to the selected issue within the timeframe selected in the Time Picker dropdown (upper right of the issue drawer).

Traces tab

When creating a Monitor using a traces query, the Traces tab will display the matching traces generated within the timeframe selected in the Time Picker dropdown (upper right of the issue drawer). Click on "View in Traces" to navigate to the Traces section with all relevant filter automatically applied.

Logs tab

When creating a monitor using a log query, the Logs tab will display the matching logs generated within the timeframe selected in the Time Picker dropdown (upper right of the issue drawer). Click on "View in Logs" to navigate to the Logs section with all relevant filter automatically applied.

Map tab

A focused visualization of the interactions between workloads related to the selected issue.