Why does my Kubernetes pod keep restarting after a successful deployment?

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When Kubernetes pods keep restarting, it is usually due to an application crash or misconfigured liveness probes. First, check your pod status using kubectl get pods. If you notice the status is CrashLoopBackOff, use kubectl describe pod <pod-name> to inspect the execution events. Look closely at the Exit Code. An exit code of 137 indicates an Out Of Memory (OOM) killer terminated your container because it exceeded its resource limit. If the exit code is 1, it implies an internal application runtime error. Additionally, use kubectl logs <pod-name> --previous to view the logs from the container instance right before it crashed, which will pinpoint the exact unhandled exception.

   Answered 2025-04-14 by Donna Fletcher

Could this also happen if the microservice is attempting to connect to a relational database that is slow to initialize during boot? I have noticed that our connection timeout settings are quite strict, which might cause our main application process to throw an unhandled connection exception and crash immediately.

   Answered 2025-04-16 by Arthur Pendleton

• Yes, that is a classic trigger. When a container initializes and immediately tries to hit a dependency that isn't ready, it crashes, causing the Kubernetes pods keep restarting issue. To resolve this, you should implement resilient retry logic inside your code or utilize an initContainer to delay the main application startup until the database actively accepts connections on its specified port.

     Commented 2025-04-17 by Donna Fletcher

In my experience, aggressive liveness probes are often the secret culprit. If your application takes a long time to boot up and your probe's initialDelaySeconds is too low, Kubernetes kills the pod before it finishes starting.

   Answered 2025-04-19 by Bradley Myers

• I completely agree with this point. We experienced a massive issue where Kubernetes pods keep restarting because our readiness check pointed to a heavy API endpoint. Adjusting the initial delay and timeout parameters fixed everything instantly.

     Commented 2025-04-20 by Chloe Vance