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Top 5 Kubernetes Errors and How to Fix Them Like a Pro

K8s Errors

From pods stuck in CrashLoopBackOff to services mysteriously failing, Kubernetes can throw curveballs when you least expect it. In this article have discussed 5 prime errors of K8s and also shared caouses of the errors and troubleshooting steps.

Resource Exhausted Error: Occurs when pods exceed allocated CPU or memory resources.​

CrashLoopBackOff: Pods crash repeatedly due to application errors or misconfigurations.​

ImagePullBackOff: Kubernetes fails to pull container images, often due to incorrect image names or authentication issues.​

Pending Pods: Pods remain unscheduled because of insufficient resources or node selector constraints

Service Not Found: Services are unreachable due to misconfigurations or missing endpoints.​

Here is detailed description with troubleshooting tips:

  1. Resource Exhausted Error: Occurs when pods exceed allocated CPU or memory resources.​
  2. CrashLoopBackOff: Pods crash repeatedly due to application errors or misconfigurations.
  3. ImagePullBackOff: Kubernetes fails to pull container images, often due to incorrect image names or authentication issues.​
  4. Pending Pods: Pods remain unscheduled because of insufficient resources or node selector constraints.​
  5. Service Not Found: Services are unreachable due to misconfigurations or missing endpoints.​

Troubleshooting Tips:

  • Use kubectl describe pod <pod-name> to inspect pod events and identify issues.​
  • Check container logs with kubectl logs <pod-name> for error messages.​
  • Monitor resource usage using kubectl top pod and kubectl top node.​
  • Verify service configurations and endpoints with kubectl get svc and kubectl get endpoints.​
  • Adjust resource requests and limits in deployment specifications to prevent resource exhaustion.​

By systematically addressing these common errors, you can enhance the stability and reliability of your Kubernetes deployments.


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