aks-troubleshooting

To troubleshoot AKS pods in CrashLoopBackOff or OOMKilled states, you need to inspect container logs and resource limits. This diagnostic process utilizes specific kubectl commands to retrieve logs and identify the root cause of the application crashes or memory exhaustion.

Diagnosing an AKS node in a NotReady state involves checking node conditions and resource pressures like disk space. You can use kubectl commands to inspect node details and Azure CLI to query the underlying virtual machine status for deeper infrastructure analysis.

Resolving ImagePullBackOff errors for AKS pods requires verifying container image names, registry credentials, and network access. The diagnostic workflow uses kubectl to describe the pod and pinpoint exact registry authentication failures or missing image references.

Yes, you can use Azure CLI alongside kubectl to check AKS control plane API server reachability and system component health. This diagnostic approach helps verify network configurations, API routing, and core Kubernetes service availability.

Persistent volume claims in AKS fail to bind due to missing storage classes, capacity limits, or node affinity mismatches. You can diagnose these binding failures by running kubectl commands to inspect PVC events and Azure CLI to check underlying disk provisioning.

Yes, Azure CLI is required alongside kubectl to effectively troubleshoot AKS resource quota exceedances. The diagnostic process uses kubectl to check namespace resource usage and limits, while Azure CLI provides deeper visibility into cluster-level capacity and configuration.