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Kubernetes is a powerful container orchestration platform, but diagnosing and resolving issues can sometimes be daunting. This guide provides a comprehensive list of commands to troubleshoot problems with Pods, Controllers, and Services effectively.
Before troubleshooting, determine the type of issue:
Based on the type of issue, use the respective commands in the following sections.
Q: How do I troubleshoot a Pod stuck in the Pending state?
kubectl describe pod ${POD_NAME} Look for events like "Insufficient CPU" or "NodeAffinity violations."Q: What if a Pod crashes repeatedly?
kubectl logs ${POD_NAME} ${CONTAINER_NAME}Additional commands for Pods include:
kubectl -n ${NAMESPACE} get pod -o widekubectl exec -it ${POD_NAME} /bin/bashControllers like Deployments and StatefulSets manage the lifecycle of Pods.
Q: What should I do if my Pods fail to start after a Deployment update?
kubectl describe deployment ${DEPLOYMENT_NAME} Check for events related to image pull errors, configuration mismatches, or insufficient resources.Other useful commands include:
kubectl get deployment -o widekubectl get deployment ${DEPLOYMENT_NAME} -o yamlQ: How do I diagnose a Service with no endpoints?
kubectl describe svc ${SERVICE_NAME} Verify the Endpoints field. If empty, ensure the Service's selector matches the Pod labels.Additional commands include:
kubectl get svc -o widekubectl describe svc ${SERVICE_NAME}Q: How can I monitor resource usage for Pods?
kubectl top pod --namespace=${NAMESPACE}Q: What’s the best way to debug network issues in Kubernetes?
kubectl exec with tools like curl or ping. kubectl exec -it ${POD_NAME} -- curl ${SERVICE_NAME}Q: Why is my Deployment not scaling?
kubectl get hpa -n ${NAMESPACE}With these commands and insights, Kubernetes administrators can efficiently identify and resolve cluster issues, ensuring smoother application operations. Regular monitoring and debugging practices can help minimize downtime and optimize performance.
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