Deploying microservices to container orchestration platforms often feels seamless until a deployment pipeline turns red. Among all container failure states in distributed Kubernetes clusters, two errors account for the vast majority of production outages: CrashLoopBackOff and OOMKilled (Exit Code 137).

Standard web dashboards rarely tell the whole story. To debug clusters reliably under enterprise service-level objectives (SLOs), engineers must leverage systematic CLI inspection workflows.

1. Diagnosing CrashLoopBackOff: The Root Cause Funnel

A CrashLoopBackOff status does not mean Kubernetes is down; it means the container engine repeatedly starts the process, but the process crashes or exits with a non-zero status code, forcing the kubelet to delay subsequent restarts exponentially.

Diagnostic Decision Path:

Exit Code 137: OOMKilled (Node limits or cgroup memory exhaustion).

Exit Code 1 / 2: Application or configuration runtime exception.

Exit Code 143: Graceful shutdown signal (SIGTERM).

Step 1:…