Hi everyone! I’m exploring ideas around dynamically configuring a Fargate instance/cluster based on a flow parameter / input. In short, I have an hourly job that migrates data for a group of clients based on their timezone. For some hours of the day, there will be more clients and thus more work. Ideally, I want my flow to scale resources based on the number of clients queried for a timezone. Does anyone have ideas for a way to do this? Since flow environments are set at registration time, I’m struggling to find a feasible approach. I’ve also started to explore the new

ECR Task

and

run_config

recently added, which sound like a potential solution. Thanks for the input!

@Mike Marinaccio We do exactly this using DaskCloudProviderEnvironment and the

on_execute()

callback. See this example in the docs: https://docs.prefect.io/orchestration/execution/dask_cloud_provider_environment.html#advanced-example-dynamic-worker-sizing-from-parameters-tls-encryption IMPORTANT NOTE: I believe the Prefect team is moving away from this environment and instead recommending use of a 

LocalEnvironment

 with a 

DaskExecutor

 , e.g.

DaskExecutor(
    cluster_class="dask_cloudprovider.FargateCluster", ...
)

I haven't had a chance yet to look at implementing the same "dynamically set Dask worker sizing based on Flow parameters" idea using that approach.

Oh this is perfect. Thanks @Joe Schmid!