CrashLoopBackOff is a common issue in Kubernetes where a pod repeatedly fails and restarts due to errors such as application crashes, resource allocation issues, or failed liveness probes. The term refers to the state a pod enters when it cannot stabilize and keeps restarting with increasing delay intervals, eventually reaching a maximum delay of five minutes before Kubernetes stops attempting to restart it. Troubleshooting involves identifying the cause of the crash using tools like `kubectl describe pod` and `kubectl logs` to examine configurations and logs, making necessary adjustments to application code, container images, or resource allocations, and redeploying the pod to see if it enters a stable running state. While preventing CrashLoopBackOff entirely can be challenging, setting up monitoring solutions to quickly detect and alert on such events can mitigate their impact. Observability tools and platforms like Gremlin can help identify and address these reliability risks, offering features to detect, report, and manage Kubernetes failures effectively.