detect_pod_restarts_anomalies
Identify unstable pods with high restart rates to detect application issues and prevent incidents in OpenShift clusters.
Instructions
Identify unstable pods experiencing high restart rates.
Why:
- Application stability indicator: High restart rates signal code issues (OOM, panics, misconfigurations)
- Proactive detection: Catches intermittent failures before they become incidents
- Actionable: Directly points to problematic workloads
Args:
threshold: Minimum number of restarts to flag (default: 5).
duration: Window of time to analyze (e.g., '1h', '24h', '10m').
Returns:
Markdown report of unstable pods.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| threshold | No | ||
| duration | No | 1h |