@Marvin, I am using an ECS Fargate worker pool. The worker is spinning up multiple ECS fargate tasks at a time, each with the same task definition. I occasionally get this error:

botocore.errorfactory.ClientException: An error occurred (ClientException) when calling the RegisterTaskDefinition operation: Too many concurrent attempts to create a new revision of the specified family.

How can I resolve this or work around the error?

It appears that there are no open issues on GitHub related to the

ClientException

you've encountered with

RegisterTaskDefinition

about too many concurrent attempts. However, based on AWS ECS characteristics and common practices, here's an approach that might help you to resolve or work around this error: Limit Task Definition Updates: The error message suggests that you're hitting rate limits on updating the task definition. To prevent this, try to reduce the frequency of registering new revisions of your task definition. If your deployment process always generates a new task definition, consider only registering a new revision when there's a legitimate change in the container definition or task definition parameters. Throttle Deployments: If your deployment process is automated, you might want to implement a throttling mechanism to space out the registrations of task definitions. You could introduce a delay or use a backoff strategy if you detect this specific error. Review Deployment Strategy: Assess your current deployment strategy. If you're using a CI/CD pipeline that automatically triggers task definition updates, review the triggers to ensure they are not overly sensitive to minor changes that do not require a task definition revision. If the problem persists and if this is blocking your production deployments, you might want to escalate to AWS Support for a more tailored solution, considering they may provide account-specific rate limit adjustments or further optimizations. Please note that since this issue isn't addressed directly in open GitHub issues for Prefect, the above suggestions are based on general AWS ECS best practices.