@Marvin - my flow (including 4 modules) works fine on local. I have successfully created the deployment as well. My files in Git are under a directory. When I run my flow in Prefect Cloud - it is failing. What could be the reason? I just get this error:

Task managed-flow-run-3-python3-12-jxjhn-task0 failed with message: The container exited with an error. (Error Code: 1)

When deploying a flow to Prefect Cloud, the error message "The container exited with an error. (Error Code: 1)" can be quite generic. Here are some common issues and troubleshooting steps: 1. Environment Variables and Configuration: Ensure that all necessary environment variables are set correctly in your deployment. Missing configurations can cause the container to exit unexpectedly. Docker Deployment Guide 2. Memory and Resource Limits: Exceeding memory or CPU limits can cause containers to be killed. Check your resource allocations and monitor the container's resource usage. 3. Logs and Error Messages: Check the logs for more detailed error messages. Navigate to the flow run detail page in Prefect Cloud, and review the logs section for any hints on what might have gone wrong. Debugging Tutorial 4. Intermittent Issues: If the error is intermittent, it could be related to network issues or resource contention. Re-running the deployment might work as suggested in some GitHub issues like Intermittent fatal error running deployment with docker infra. 5. API Configuration: Ensure that the

PREFECT_API_URL

is set correctly if you're running a local server or need to connect to Prefect Cloud. An unset or incorrect API URL can lead to unexpected behavior. GitHub Issue 6. Prefect 3.x Changes: Be aware of changes from Prefect 2.x to 3.x, such as the replacement of agents by workers, and infrastructure blocks by work pools. Ensure your deployment is set up with these changes in mind. Prefect 3.x Gotchas If you continue to experience issues, providing more specific error logs or code snippets might help in diagnosing the problem further.