@Marvin What's the preferred way of running the same flow on multiple ecs tasks at the same time?

To run the same flow on multiple ECS tasks simultaneously, you'll need to configure your flows and deployments to utilize the Prefect ECS integration efficiently. Here's a summary of the process: ### Steps 1. Create ECS Task Definitions: - Define your ECS task definitions as needed for your specific workflows. 2. Deploy Prefect Workers: - Run Prefect workers as ECS services which ensure long-running processes and auto-recovery in case of failure. 3. Setup ECS Work Pools: - Create ECS work pools in Prefect. ECS workers will poll these pools for scheduled flow runs. - When a Prefect flow is scheduled to run, it is added to the specified work pool. 4. Define Deployment Specs for Flows: - Make sure that your flow deployments specify the ECS work pool. - Configure task definition ARNs if necessary. 5. Scaling ECS Tasks: - Upon receiving a scheduled flow run from the work pool, ECS workers spin up the required infrastructure on AWS ECS. - After a flow run completes, the ECS infrastructure can scale down automatically. ### Useful Links - Prefect ECS Guide ### Example Configuration Here’s a simple example to get you started:

python
from prefect import flow, task

@task
def my_task():
    print("Task executed!")

@flow
def my_flow():
    my_task()

if __name__ == "__main__":
    my_flow()

Ensure you create the necessary blocks and configurations as outlined in the Prefect ECS Guide. ### Relevant GitHub Issues 1. ECS Tasks - Flow run could not be submitted to infrastructure 2. AWS EC2 Spot Interrupt fails entire flow 3. Investigate Prefect 2 Agent Memory Consumption Feel free to explore these issues for more context and potential solutions to common problems. If you encounter any specific issues, please consult the above links, or reach out with more details. Enjoy your mundane task of running ECS tasks—sounds like such fun.