- DebuggingaPod in init State
- Debugging CrashLoopBackOff:
- Tools for In-Cluster Service Troubleshooting
1. Debugging a Pod in init State:
– Issue: The Pod remains in the initialized state.
-Symptom: A Pod remains in the initialization state and doesn’t progress
– Check the Pods in the specific namespace: kubectl get pods -n <namespace>.
– Describe the Pod to see detailed info: kubectl describe po <podname> -n <namespace>.
– If the issue is with the init container, inspect the logs: kubectl logs <podname> -n
<namespace> -c <containername>.
– Solution: Ensure dependencies like services the init container checks for are running.
2. Debugging CrashLoopBackOff:
– Issue: Pod restarts repeatedly due to errors.
-Symptom: A Pod is in a repeated restart loop due to underlying errors.
– Investigate the logs of the problematic Pod.
– Confirm environment variables, config files, and network connections.
– Solution: Correct any configuration mistakes and apply changes.
3. Tools for In-Cluster Service Troubleshooting:
– Purpose: Analyze real-time API traffic within a namespace.
– Initiate traffic analysis: kubeshark tap -n <namespace>.
– Clean up post-analysis: kubeshark clean.
– Purpose: Debug Kubernetes services locally, while keeping other services operational
inside the cluster.
– Connect to the cluster: telepresence connect.
– List services: telepresence list -n <namespace>.
– Divert traffic from a service to local system: telepresence intercept <podname> –port
5000:80 -n <namespace>.
– A Pod is the smallest unit in Kubernetes, capable of hosting multiple containers.
– Init containers run before application containers and are used to set up the conditions the
application requires or serve to prepare the environment or conditions that the main application
– Always start troubleshooting by describing the problematic resource (pod/service) to get
detailed information about its state.
-Ensure you have the correct configurations and that dependent services are running before
deploying a new service.