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our team sees this error intermittently when running out flows:

Flow could not be retrieved from deployment. Traceback (most recent call last): File "/usr/local/lib/python3.10/dist-packages/prefect/deployments/steps/core.py", line 154, in run_steps step_output = await run_step(step, upstream_outputs) File "/usr/local/lib/python3.10/dist-packages/prefect/deployments/steps/core.py", line 125, in run_step result = await from_async.call_soon_in_new_thread( File "/usr/local/lib/python3.10/dist-packages/prefect/_internal/concurrency/calls.py", line 327, in aresult return await asyncio.wrap_future(self.future) File "/usr/local/lib/python3.10/dist-packages/prefect/_internal/concurrency/calls.py", line 352, in _run_sync result = self.fn(*self.args, **self.kwargs) File "/usr/local/lib/python3.10/dist-packages/prefect/deployments/steps/pull.py", line 28, in set_working_directory os.chdir(directory) FileNotFoundError: [Errno 2] No such file or directory: '/opt/prefect/flows' The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/usr/local/lib/python3.10/dist-packages/prefect/engine.py", line

Based on your error message, it appears there is a problem with either the file system setup of your pods, or potentially a timing issue where the directory your Prefect flow is trying to access does not exist at the time the pod is attempting to perform the operation. The

FileNotFoundError

indicates that the directory

/opt/prefect/flows

can't be found, which could suggest a volume mount issue, ephemeral nature of pods, or that the directory simply wasn't created before the attempt to change the working directory. Here's what might help to troubleshoot and potentially resolve this issue: 1. Volume Mounts: Ensure your Kubernetes volume mounts are correctly configured so that the

/opt/prefect/flows

directory is consistently present across pod restarts or deployments. 2. Init Containers: Use an init container that runs before your main container to set up the necessary directories. Init containers are useful to perform setup scripts that need to happen before the main application container runs. 3. Retry Logic: Implement retry logic in your Prefect flow deployment step to handle intermittent issues like this one. Sometimes just trying again can bypass brief glitches. 4. Kubernetes Probes: Configure Kubernetes liveness and readiness probes to ensure your pod is fully set up and the required directories and services are up and running before traffic is sent to the pod. 5. Resource Allocation: Check that your pods are allocated enough resources. If they're being starved for CPU or memory, they may run into intermittent issues as the scheduler terminates or throttles them. 6. Logging: Increase the logging level to get more insight into the pod's lifecycle and when exactly the directory is missing. Adding specific Kubernetes settings could depend on the exact circumstances and the nature of your Kubernetes cluster and Prefect deployment configuration. If nothing above helps, please let me know and I can search more specifically for Kubernetes settings related to pod initialization timing or other related issues.