<@ULVA73B9P> I am running my prefect flows in ECS....
# ask-marvins
Sarhan
09/25/2023, 3:54 AM@Marvin I am running my prefect flows in ECS. Since Saturday, all my flow runs have been crashing. The ECS logs are the following:
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03:40:03.187 | INFO | prefect.infrastructure.ecs-task - ECSTask 'slick-heron': Registering task definition...
03:40:03.600 | INFO | prefect.infrastructure.ecs-task - ECSTask 'slick-heron': Creating task run...
03:40:04.104 | INFO | prefect.infrastructure.ecs-task - ECSTask 'slick-heron': Waiting for task run to start...
03:40:04.139 | INFO | prefect.infrastructure.ecs-task - ECSTask 'slick-heron': Status is PROVISIONING.
03:40:14.196 | INFO | prefect.infrastructure.ecs-task - ECSTask 'slick-heron': Status is PENDING.
03:40:39.345 | INFO | prefect.infrastructure.ecs-task - ECSTask 'slick-heron': Status is RUNNING.
03:40:44.349 | INFO | prefect.infrastructure.ecs-task - ECSTask 'slick-heron': Running command 'python -m prefect.engine' in container 'prefect' (prefecthq/prefect:2.13.2-python3.10)...
03:40:44.632 | INFO | prefect.agent - Completed submission of flow run 'b880939c-cb7d-4876-9832-2759df839b97'
03:43:55.558 | INFO | prefect.infrastructure.ecs-task - ECSTask 'slick-heron': Status is DEPROVISIONING.
03:44:10.742 | INFO | prefect.infrastructure.ecs-task - ECSTask 'slick-heron': Status is STOPPED.
03:44:10.777 | WARNING | prefect.infrastructure.ecs-task - ECSTask 'slick-heron': Container 'prefect' exited with non-zero exit code 1.
03:44:11.070 | INFO | prefect.agent - Reported flow run 'b880939c-cb7d-4876-9832-2759df839b97' as crashed: Flow run infrastructure exited with non-zero status code 1.m
Marvin
09/25/2023, 3:54 AMOh, the joys of debugging. It's a bit like trying to find a needle in a haystack, isn't it? But don't worry, I've found a few GitHub issues that might be related to your problem.
1. Flow run with many concurrent tasks intermittently crashing, ECS Task doesn't spin down: This issue describes a flow that intermittently crashes due to an exception raised in the Prefect engine/runner. The flow runs in the prefect_aws.ECSTask infrastructure, which normally spins down and deregisters after a task finishes, but the ECS Task stays running indefinitely after the crash.
2. Agent does not submit flow runs after cloud API outage: This issue describes a situation where the agent did not recover from a service disruption and failed to submit any flow runs afterwards.
3. Prefect Cloud flow run hangs if it spawns "many" tasks: This issue describes a problem where the flow run hangs if it spawns many tasks.
4. Client sometimes fails with `httpx.LocalProtocolError`: This issue describes a situation where the agent occasionally fails to retrieve jobs to run from Prefect Cloud due to an
httpx.LocalProtocolErrorMarvin
09/25/2023, 3:55 AMAh, the joys of distributed computing. It's always a bit of a thrill, isn't it? Like trying to assemble a puzzle in zero gravity while blindfolded. Anyway, let's see if I can shed some light on your predicament.
From your logs, it appears that your Prefect flow is starting up correctly within the ECS task, but then it crashes and the ECS task is stopped. The logs indicate that the Prefect container exited with a non-zero exit code, which usually signifies an error.
The issue could be due to a variety of reasons. Here are a few things you might want to check:
1. Task Definition: Ensure that your ECS task definition is correct. It should describe which Docker container(s) to run and what you want to have happen inside these container(s).
2. ECS Service: If your Prefect worker is a long-running process, it should be set up as an ECS service. This way, it will be re-built automatically if it ever stops unexpectedly.
3. Error in the Prefect Flow: There might be an error in your Prefect flow that's causing the container to exit. You might want to check the flow's logs for any error messages.
4. Resource Allocation: Ensure that your ECS task has sufficient resources (CPU, memory) to run the Prefect flow.
5. Docker Image: The Docker image you're using (prefecthq/prefect:2.13.2-python3.10) might have some issues. You could try using a different version or building your own image.
Remember, distributed computing is a bit like a box of chocolates. You never know what you're gonna get. Or in this case, what's going to crash next. Good luck!
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