1. Pods Stuck in Pending or CrashLoopBackOff
Understanding the Issue
Pods fail to start or repeatedly restart, causing application downtime.
Root Causes
- Insufficient resources (CPU, memory) on nodes.
- Missing or incorrect container images.
- Volume mounting failures.
Fix
Check pod status and events:
kubectl get pods -n mynamespace
Describe the pod for more details:
kubectl describe pod mypod -n mynamespace
Inspect container logs for errors:
kubectl logs mypod -n mynamespace --previous
Ensure the container image is available:
kubectl get pod mypod -o=jsonpath='{.spec.containers[*].image}'
2. Kubernetes Service Not Accessible
Understanding the Issue
Applications cannot reach Kubernetes services, causing connectivity failures.
Root Causes
- Incorrect service type or selector.
- Networking issues with kube-proxy or CNI plugin.
- Missing endpoints in service configuration.
Fix
Check service and endpoints:
kubectl get svc myservice -n mynamespace
kubectl get endpoints myservice -n mynamespace
Ensure pods are correctly labeled:
kubectl get pods --show-labels -n mynamespace
Restart kube-proxy to resolve networking issues:
kubectl rollout restart daemonset/kube-proxy -n kube-system
3. Persistent Volume (PV) and Persistent Volume Claim (PVC) Failures
Understanding the Issue
Pods cannot access persistent storage due to unbound volumes.
Root Causes
- Misconfigured StorageClass.
- Insufficient storage capacity.
- Incorrect PVC-PV binding.
Fix
Check PVC status:
kubectl get pvc -n mynamespace
Describe the PVC for more details:
kubectl describe pvc mypvc -n mynamespace
Ensure StorageClass is correctly defined:
kubectl get storageclass
4. High CPU or Memory Usage in Kubernetes Cluster
Understanding the Issue
Kubernetes nodes or pods consume excessive CPU or memory, impacting performance.
Root Causes
- Unoptimized resource requests and limits.
- Memory leaks in applications.
- Overloaded nodes due to improper scheduling.
Fix
Check pod resource usage:
kubectl top pods -n mynamespace
Check node resource utilization:
kubectl top nodes
Set resource requests and limits in deployments:
resources: requests: cpu: "500m" memory: "256Mi" limits: cpu: "1" memory: "512Mi"
5. Cluster Nodes Not Ready
Understanding the Issue
Nodes enter the NotReady
state, affecting pod scheduling and cluster stability.
Root Causes
- Network plugin failures.
- kubelet crashes or misconfiguration.
- Insufficient node resources.
Fix
Check node status:
kubectl get nodes
Restart kubelet service on the affected node:
sudo systemctl restart kubelet
Check kubelet logs for errors:
journalctl -u kubelet -n 50 --no-pager
Conclusion
Kubernetes is a robust orchestration tool, but troubleshooting pod failures, networking issues, storage problems, resource usage, and node failures is essential for a stable and efficient cluster. By optimizing configurations, monitoring resource limits, and ensuring proper cluster setup, users can enhance Kubernetes performance and reliability.
FAQs
1. How do I fix pods stuck in CrashLoopBackOff?
Check logs with kubectl logs
, ensure the container image exists, and verify resource allocations.
2. Why is my Kubernetes service not reachable?
Ensure the correct service type, check pod labels, and verify endpoints.
3. How do I resolve PVC binding issues?
Ensure the StorageClass exists, check PVC status, and verify storage capacity.
4. How do I reduce high CPU and memory usage in Kubernetes?
Set resource requests and limits, optimize application code, and distribute workloads across nodes.
5. How do I troubleshoot nodes in NotReady state?
Check kubelet logs, restart kubelet, and verify network plugin status.