Fix Kubernetes CPU Throttling using Kubegrade (Performance Issue Troubleshooting)
4 min
Overview
A pod is running but experiencing degraded performance due to CPU throttling caused by restrictive resource limits.
Kubegrade automates Kubernetes troubleshooting by detecting issues, explaining root causes, and fixing them through GitOps pull requests.
Scenario
This short demo shows how Kubegrade diagnoses and fixes a real Kubernetes CPU throttling performance issue end-to-end.
What happens in the demo
- Identify a deployment with performance issues
- Confirm pod is running but throttled
- Inspect logs and terminal signals
- Open Kubegrade visualization and select affected namespace
- Ask the agent to diagnose throttling cause
- AI performs root cause analysis
- CPU demand exceeding defined limits detected
- Kubegrade proposes increasing CPU limits
- AI generates a Git pull request with the fix
- PR is reviewed and merged
- Changes are applied
- CPU throttling disappears and performance stabilizes
- No manual metrics digging
- No resource tuning guesswork
- No trial-and-error limit adjustments
This is one example. The same workflow applies to:
- CPU throttling issues
- Performance degradation in Kubernetes
- Resource constraint bottlenecks
- Improper CPU limits
- Production performance instability