Let’s fix the exit code 143 issue on Kubernetes with the steps in this article. At Bobcares, with our Kubernetes Support, we can handle your issues.

Exit Code 143 Issue On Kubernetes | Solution

An out-of-memory (OOM) condition brought on by inadequate memory allocation may result in an exit with code 143. We can follow the below steps in order to fix the issue:

1. When a pod is gracefully terminated, usually by a Kubernetes control plane component, or when a user deletes a pod or scales down a deployment, the pod may receive a SIGTERM signal. In this scenario, the app ought to have an opportunity to tidy up any leftover resources and end smoothly.

2. There’s a chance that the application code has custom signal handling, which means it reacts to SIGTERM by doing particular things before quitting. So, look for any logic related to signal handling in the app code.

3. Also, make sure that no odd termination conditions or preStop hooks are sending SIGTERM by reviewing the deployment or pod setup.

4. Examine the logs of the pod to look for any errors or clues as to what could be creating the SIGTERM signal in it.

5. Make sure the CPU and memory requests and resource limits we’ve set in the pod setup are correct. Unexpected terminations may result from resource limitations.

6. Inspect the container’s physical condition. It may be crashing as a result of a bug or an outside problem.

7. Make sure that any external services or dependencies that the application uses are responsive and available.

8. Examine the events linked with the pod and node to find whether any pertinent events exist that offer additional details regarding the termination.

9. Problems like this occasionally have a connection to the underlying infrastructure or Kubernetes version. So, verify that the version we are using is stable and supported.

10. To see if there are any pertinent messages or errors, review the pod’s Kubernetes events and logs. To examine events, use the kubectl describe pod command.

11. Examine the logs of the app to find any problems that may be causing it to terminate too soon.

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Conclusion

To sum up, we offer 11 troubleshooting steps in order to fix the exit code 143 issue on Kubernetes.