---
title: Fix Kubernetes Pending Pods Fast (CPU Limits Error) using Kubegrade
slug: fix-kubernetes-pending-pods-fast-cpu-limits-error-using-kubegrade
createdAt: 2026-03-09T11:03:13.821Z
---

::embed[]{url="https://www.youtube.com/embed/R8DWeW2T2Gk"}



# Overview

This short demo shows how Kubegrade troubleshoots and fixes a real Kubernetes CPU limits misconfiguration end-to-end.

Kubegrade automates Kubernetes troubleshooting by detecting issues, explaining root causes, and fixing them through GitOps pull requests.



# Scenario

A deployment is stuck in Pending state because the container is requesting an impossible CPU value, preventing scheduling.



# What happens in the demo

- Identify a pod stuck Pending
- Confirm pod is not running from logs and terminal
- Open Kubegrade visualization and select the affected namespace
- Ask the agent why the deployment is not scheduling
- AI performs root cause analysis
- Misconfigured CPU request detected (100 CPUs typo)
- Correct value suggested (100 millicores)
- Kubegrade generates a Git pull request with the fix
- PR is reviewed and merged
- Argo CD applies the change
- Pod schedules successfully and becomes healthy
- No manual YAML debugging
- No scheduler guesswork
- No trial-and-error resource tuning



# This is one example. The same workflow applies to:

- Pods stuck Pending
- CPU and memory resource errors
- Scheduler failures
- Invalid resource requests
- Deployment configuration mistakes