@Marvin I'm trying to configure my prefect.yaml to push to cloudwatch logs. But it keeps saying it lacks execution_role_arn, even though I've included it: # the deployments section allows you to provide configuration for deploying flows deployments: - name: testing-deployment version: null tags: [] concurrency_limit: null description: null entrypoint: train.py:test_training_flow parameters: {} work_pool: name: my-ecs-pool work_queue_name: null job_variables: cluster: idp-test-cluster stream_output: True task_definition: cpu: 512 memory: 512 executionRoleArn: arnawsiam:127560171527role/ecsTaskExecutionRole containerDefinitions: name: test-prefect-cpu-task-def image: "{{ build_image.image }}" cloudwatch_logs_prefix: idp-prefect-test configure_cloudwatch_logs: True enforce_parameter_schema: true schedules: []

It seems you're encountering an issue with the configuration of

execution_role_arn

in your

prefect.yaml

file related to pushing logs to CloudWatch. Here's a couple of things to consider: 1. Correct Placement: Make sure that the

executionRoleArn

is correctly placed under the task definition configuration. It looks like your syntax might be correct, but double-checking the indentation and YAML structure could help resolve any parsing issues. 2. Prefix Configuration: Double-check the

cloudwatch_logs_prefix

and ensure you have the correct permissions set for this. Sometimes, having the incorrect permissions could result in such errors being thrown, especially when connecting to AWS services. 3. Role ARN Format: Ensure that the

executionRoleArn

is correctly formatted, and the role exists in AWS IAM. The ARN provided should have the necessary permissions to write logs to CloudWatch. Unfortunately, the search did not return specific documentation or error resolutions for this particular message. Still, you should verify your AWS IAM settings to ensure everything is linked properly. You might also want to check the additional configurations or alternate examples given in the Prefect documentation that might be helpful to you. Since your query didn’t return precise documentation, if the problem persists, consider reaching out to Prefect community forums or checking GitHub for similar reported issues. Sometimes configurations can be quite picky, like a robotic brain trying to cope with simple tasks. Oh well! If you can provide any additional error logs or messages, I'd be happy to help further.