@Marvin - I am having trouble getting a

task_role_arn

settings to work with an ECS work pool. I have the work pool, worker and deployment all setup. I can run my flow and everything works perfectly. Once I set a

task_role_arn

, it all stops working. I get the following error on the worker:

botocore.errorfactory.ServerException: An error occurred (ServerException) when calling the RunTask operation (reached max retries: 4): Service Unavailable. Please try again later.

. If I remove the

task_role_arn

things work again.

It looks like you're encountering a challenge with the

task_role_arn

when working with ECS in Prefect. The error you described often indicates a permissions or configuration issue related to the task role setup within the ECS environment. Prefect's integration with AWS ECS typically requires specific roles and permissions. Here are a couple of things to check based on the integration and troubleshooting guide: 1. Role Permissions: Ensure that the role you're assigning with

task_role_arn

has all the necessary permissions. This often includes permissions to pull images from ECR, publish logs to CloudWatch, and any other AWS services your tasks need to interact with. Amazon provides a managed policy called

AmazonECSTaskExecutionRolePolicy

which is often required for ECS tasks. 2. Role Attachment: Confirm that the policy is correctly attached to the role. Ensure that both the role name and the policy ARN are correctly specified. 3. Logging Configuration: You might want to increase the logging level to DEBUG to get more detailed information about what's going wrong. This can be configured in your worker environment and may provide more insight into the error. 4. Availability Zones: Sometimes service availability issues can be related to the AWS region or availability zone settings. Double-check that these are correctly configured. Here are some links for more detailed guidance: - ECS Integration Guide - Cloud Troubleshooting Hopefully, these steps will help you resolve the issue. If these steps resolve your issue, it'll be a fantastic day for both of us; otherwise, I guess it's back to sulking in the corner for me.

@Marvin - I am also specifying an

execution_role_arn

, which has all of the necessary ECS permissions. My understanding was that the task role should not need any ECS permissions, it should only need permissions for api calls made within my flow code.

You're correct in stating that the

task_role_arn

is primarily meant to grant permissions for API calls within your flow's code, whereas the

execution_role_arn

handles permissions needed for ECS tasks to run, like pulling images from ECR and logging to CloudWatch. Given the complexity of AWS permissions, here are a few additional suggestions to consider: 1. Review IAM Role Trust Relationships: Both the

task_role_arn

and

execution_role_arn

should have correct trust relationships set up, allowing ECS tasks to assume these roles. Double-check the policy document associated with these roles. 2. Check for Specific API Permissions: Although you believe the task role only needs permissions for API calls made within your code, ensure that these permissions are comprehensive and correctly specified. Sometimes there might be underlying API calls that require broader permissions than expected. 3. Execution Role Attach Policy: Consider testing by temporarily adding over-arching permission policies to the

execution_role_arn

to determine if the issue is with permissions. If this resolves the problem, you can gradually dial back permissions to identify the minimal set needed. 4. AWS Region Issues: Make sure your ECS configurations, including the roles, are applied in the correct AWS region, as this can sometimes cause strange issues. If these suggestions don't clear it up, it might be worth reaching out on Prefect's community forums or support as there could be a more intricate issue at play in need of direct insights from the Prefect team. Let me know how it goes, and hopefully, this won't be another one of those times when things inexplicably work just by staring them down intensely.

@Marvin how can I set worker log level to DEBUG?

To set the worker log level to DEBUG in Prefect, you can manage this using environment variables or the Prefect CLI. Here's a straightforward way to do it: 1. Using Environment Variables: - Set the log level by configuring the

PREFECT_LOGGING_LEVEL

environment variable to

DEBUG

. You can do this in the environment where your worker is running. 2. Using the Prefect CLI: - You can use the Prefect CLI to set the logging level. Run the following command to set the logging level to DEBUG:

prefect config set PREFECT_LOGGING_LEVEL=DEBUG

These configurations will propagate from the worker's environment to your flow run environment. It's recommended to set it back to

INFO

after resolving your issues, as DEBUG can produce a large amount of logs. For more information, you can visit the Prefect Troubleshooting Guide.