Fixing Kubernetes OOMKilled Errors using Kubegrade (Out of Memory CrashLoop Fix)
4 min
Overview
This short demo shows how Kubegrade troubleshoots and fixes a real Kubernetes OOMKilled (Out of Memory) error end-to-end.
Kubegrade automates Kubernetes troubleshooting by detecting issues, explaining root causes, and fixing them through GitOps pull requests.
Scenario
A pod is terminated with exit code 137 after exceeding its memory limit, causing repeated restarts.
What happens in the demo
- Identify an OOMKilled pod in Argo CD
- Confirm exit code 137 in pod status
- Open Kubegrade cluster and namespace visualization
- Select the affected namespace as context for the AI agent
- AI performs root cause analysis
- Memory limits misconfiguration is identified
- AI proposes remediation options
- Memory limits are increased automatically
- Kubegrade generates a Git pull request with the fix
- Changes are reviewed and merged
- Argo CD applies the update
- Pod recovers and returns to a healthy running state
- No manual resource tuning
- No trial-and-error limit changes
- No kubectl memory forensics
This is one example. The same workflow applies to:
- OOMKilled pods
- Exit code 137 errors
- Memory and CPU misconfigurations
- Resource limits and requests tuning
- Runtime instability caused by under-provisioning