@Marvin in certain cases our flows are stuck in running state when the k8s pod is deleted or restarted. We have set a high value for terminationGracePeriodSeconds so that the new container created by the k8s pod doesn’t get divested immediately. It stays in terminating state. We mainly face this issue when a database query is getting executed or the task is interacting with a third party API and the k8s pod gets deleted or restarted then the flow is stuck in running state. Any idea why this is happening?

It appears there are no open issues relating to your particular problem on the PrefectHQ GitHub repository, which could mean you're encountering an edge case or an unreported bug. The behavior you're describing could be related to the lack of a proper heartbeat mechanism in the Prefect agent or runner managing the flows. When a Kubernetes pod running a flow task is deleted or restarted, ideally, the Prefect runtime should be aware of the interruption and handle it gracefully. This includes possibly rerunning the task or moving the flow to a failed state if necessary. However, if the flow is stuck in a running state, it likely means that the process managing the flow's state isn't aware that the task has been interrupted. This could occur because the task's state isn't being communicated back to the central server or because the Prefect agent isn't handling the pod's termination signals correctly. Here are some steps for you to consider: 1. Ensure that Prefect is configured to handle Kubernetes signals properly. Prefect should catch termination signals such as

SIGTERM

to cleanup and update the flow's state before the pod is fully terminated. 2. Review your task's idempotency and retry mechanisms. This is especially crucial for long-running tasks that interact with databases or external APIs. You can configure task retries in Prefect to automatically rerun the task in case of failures. 3. Check the logs of the Prefect agent and the flow run. There might be some insights into why the flow's state isn't being updated correctly upon pod deletion. 4. Update your Prefect instance and dependencies. Make sure you are using the latest versions, as newer releases might contain important fixes for issues like the one you're encountering. 5. Consider consulting the Prefect community or filing a GitHub issue. If all else fails and you are sure it's an issue with Prefect, reporting it can help you get more targeted assistance. If you need more detailed assistance with Prefect's setup and configuration regarding Kubernetes, I can perform a more thorough search or you could consult the Prefect documentation to ensure your settings are optimized for proper task state management within Kubernetes environments.