Based on the research and GitHub issues, I can provide some clarity on your situation: 1. Root Cause: The issue you're experiencing is a known behavior where Prefect creates new task definition revisions for each flow run, even when the configuration is largely the same. This happens because: - Prefect includes the flow run name in the task definition (as the

awslogs-stream-prefix

) - Different parameters can trigger new task definition creation - The

match_latest_revision_in_family

setting doesn't fully prevent this behavior 2. Current Limitations: - AWS has a rate limit on the

RegisterTaskDefinition

operation - When multiple flows are scheduled close together, this can trigger the "Too many concurrent attempts" error you're seeing 3. Potential Workarounds: a. Spread Out Schedules: If possible, stagger your schedules to avoid concurrent task definition registrations b. Use Pre-registered Task Definitions: You can pre-register a task definition and configure your work pool to use it c. Consolidate Schedules: Consider if you can combine some of your schedules and handle the different parameters within the flow logic instead 4. Best Practice Solution: Here's how you can modify your work pool configuration to use a pre-registered task definition:

yaml
work_pool:
  name: your-ecs-pool
  job_variables:
    task_definition_arn: "arn:aws:ecs:region:account:task-definition/your-task-definition:1"
    family: "your-task-family"
    # Other configurations...

The key is to: 1. Pre-register your task definition in AWS ECS 2. Use that task definition's ARN in your work pool configuration 3. Keep the family name consistent This approach should help you avoid the task definition registration rate limit issues while still allowing you to run your flow with different parameters. Note: This is an active issue in the Prefect community, and there are ongoing discussions about improving this behavior. You might want to follow this GitHub issue for updates. Would you like me to provide more specific details about any of these workarounds, or would you like to explore a particular solution further?