<@ULVA73B9P> Im new to prefect and just deployed a...
# marvin-in-the-wild
m
@Marvin Im new to prefect and just deployed a flow to a prefect managed work-pool on prefect cloud, but the flow status is always just late instead of running. What step am I missing?
m
It seems that the flow runs are late rather than executing promptly. This can usually be due to issues with the work pool configuration or the worker environment. Here are some possible reasons for this issue and some steps you can take to resolve it: 1. Ensure that there is a worker running in your execution environment and that it is correctly polling the work pool for new runs. The worker is responsible for picking up the flow run from the work pool and executing it. If the worker is not running or not correctly configured, the flow run will remain in the work pool without being executed. 2. Check if your work pool is properly configured to submit flow runs to your execution environment. In some cases, issues with submitting flow runs could cause the late status. 3. Verify that the serverless infrastructure is set up correctly if you are relying on serverless execution environments. 4. Ensure that there are no connectivity issues between your work pool and your execution environment. Network issues could prevent flow runs from being picked up by workers. Since you mentioned you're using Prefect Cloud and a managed work-pool, ensure that your cloud settings are correctly configured to allow the work-pool to communicate with worker instances. For more details and troubleshooting steps, you can review the Prefect documentation: - Work Pools &amp; Workers If you keep experiencing issues and ensure that your configuration is correct, I would suggest checking Prefect's GitHub issues or reaching out to their support for help.
m
@Marvin There doesn't seem to be a worker because it's a push pool and it's still showing as late, any idea what I'm missing?
m
Push work pools are designed to submit flow runs to serverless computing infrastructure without the need to run a dedicated worker. Since we are dealing with a push work pool, it's essential to ensure that Prefect Cloud is correctly configured to push work to the supported serverless computing infrastructure like GCP Cloud Run Jobs, Azure Container Instances, or AWS ECS Tasks. Here are a few steps you might want to check: 1. Confirm that your serverless infrastructure is set up correctly to receive and execute work from Prefect Cloud. 2. Check that the credentials and permissions are properly configured to allow Prefect Cloud to submit work to your serverless platform. 3. Verify your push work pool settings within Prefect Cloud to ensure it matches your intended serverless infrastructure and that there aren't any configuration mismatches. 4. Look into concurrency limits and any priority configurations in your work pool that might be affecting the flow run submission. 5. Ensure there are no underlying issues with the network or connectivity between Prefect Cloud and your serverless platform. To delve deeper into push work pools and their configuration, check out the following link from Prefect's documentation: - Push Work to Serverless Computing Infrastructure If the issue persists after ensuring all configurations are correct, I would recommend reaching out to Prefect support or checking the Prefect's GitHub issues for similar cases and potential solutions.
n
i would sanity check that your deployment is using your managed work pool if that's already the case, there might be something else going on 🤔
ah - I see elsewhere that you seem to have the correct pool attached to the deployment do you happen to have a concurrency limit on this work pool?
m
i would sanity check that your deployment is using your managed work pool
It definitely is. I've tried like 4 times haha. Here's a screenshot to validate
I've tried both with a concurrency limit of 1 and without a concurrency limit. Both had the same issue
Currently it's unlimited
d
I assume you're storing a Docker image in ECR? I had to manually update the
PrefectEcsTaskExecutionRole
to include
AmazonEC2ContainerRegistryReadOnly
m
This is the prefect managed pool, don't anything from AWS is needed as far as I understand
d
You do if you're pulling images from ECR
n
it is a good callout, something could be going wrong with whatever image you're pulling what sort of image are you using (if not prefect base image) and where does it live?
m
I'm pulling the prefect base image, I'll try updating the config setting Dominic mentioned above
n
ahh well if its the base image that lives in our dockerhub so you shouldnt have to do anything there 🤔
🤔 1
d
Ah. In that case, where are you pulling the code from? GitHub?
m
Github, yeah
But if it were an issue pulling code I would have thought the flow would trigger and fail, rather than remain in late status without triggering
d
Fair