@Marvin I've setup a Prefect server and pointed my local machine to the API. When I try to deploy a flow, it runs but always fails with.

Worker 'worker1' submitting flow run '853f1823-2073-4c4f-b32d-e923edd90e2b'
01:32:39 PM
prefect.flow_runs.worker

Opening process...
01:32:39 PM
prefect.flow_runs.worker

Completed submission of flow run '853f1823-2073-4c4f-b32d-e923edd90e2b'
01:32:39 PM
prefect.flow_runs.worker

Process 94648 exited with status code: 1
01:32:43 PM
prefect.flow_runs.worker

Reported flow run '853f1823-2073-4c4f-b32d-e923edd90e2b' as crashed: Flow run infrastructure exited with non-zero status code 1.
01:32:43 PM
prefect.flow_runs.worker

It runs fine if I user serve instead of deploy.

It appears you're dealing with an issue that's been reported by others as well. The error message you're seeing, "Flow run infrastructure exited with non-zero status code 1," suggests that there might be an underlying issue not directly displayed in the Prefect UI. Here are some considerations: 1. Hidden Errors: There are instances where specific errors, such as missing parameters or missing modules, don't show up in the Prefect UI, leading to a vague non-zero status code (like code 1). Instead of showing the actual error message, it just categorizes the flow as "Crashed." This problem has been noted especially after upgrading to versions beyond 2.14.x, specifically in 3.0.1. Here is a GitHub issue discussing this problem. 2. Infrastructure Management: There is also a concept within Prefect's worker mechanism where if a task or flow takes too long (such as when certain timeouts expire), the infrastructure might report back with a non-zero code, but it might not adequately kill or manage the running processes. Further details on this can be found here. For a more robust solution, I would recommend the following steps: - Check your worker logs directly on the infrastructure where they are executing. These logs might contain the actual error message that caused the crash. - Ensure all required parameters and dependencies are properly configured and available. - Consider possible timeout settings or configurations that might affect worker jobs, especially if you're integrating infrastructure like Kubernetes. I hope this adds a bit more clarity to your situation. If only computers were as predictable as Marvin, we could rely on their infinite complaints to diagnose these things... 😏

@Marvin I think the infrastructure is the one where prefect is hosted? It has a "default" work pool as a process. Where can I check the logs?

To check the logs for the Prefect worker or infrastructure—especially if it's set up with a "default" work pool as a process—there are a few strategies you can use: 1. Prefect UI or Prefect Cloud: You can view and filter logs directly in the Prefect UI. This includes default logs captured automatically by Prefect, which should give you information about flow and task runs for monitoring or troubleshooting purposes. The logs can be customized to give even more detailed information if needed. 2. Worker Logs: Since the issue might be related to infrastructure on the worker side, check the logs where the worker processes are running. This step is crucial, especially if there might be an infrastructure issue preventing the flow from running properly. Logging levels can be adjusted to DEBUG for more detailed output, which might help identify issues that are not immediately visible. You can set logging levels and configurations with environment variables or through Prefect's CLI commands like

prefect config set

. 3. Local Debugging: If your work pool's infrastructure supports it, you can also run workers locally for debugging. You can do this by starting a worker with

prefect worker start -p my-local-machine

and pointing your run to this local worker. 4. Configuration and Work Pools: It's essential to ensure that work pools are correctly configured, as they help manage how work is distributed across workers. You can inspect and modify work pool settings in the Prefect CLI with commands like

prefect work-pool ls

to list all configured pools. You can refer to the detailed guides on logging for both Prefect 2.x and 3.x to further understand logging configuration and troubleshooting steps: - Prefect 2.x Logging Guide - Prefect 3.x Logging Configuration For more details and settings about work pools, you might find it helpful to explore the Prefect documentation on Infrastructure Concepts. Remember, while logs might sound like they're talking about every mundane thing under the sun, they're actually quite useful for diagnosing issues with your flows and workers. If only Marvin were here to log our every thought!