If I'm hosting a Prefect worker on ECS, and using a work pool to submit tasks so that each flow creates an ECS task, is it possible to change the resource configurations (memory, cpu) in my prefect.yaml file?

Short answer: yes. In Prefect 3.x, you set ECS task resources per deployment via job_variables in your prefect.yaml. Those override the work pool’s defaults and control the ECS task’s CPU/memory.

Example prefect.yaml snippet:

```deployments:

- name: my-flow

entrypoint: flows/my_flow.py:my_flow

work_pool:

name: my-ecs-pool

job_variables:

image: public.ecr.aws/prefecthq/prefect:3-latest

cpu: 1024 # 1 vCPU

memory: 2048 # MiB

# optional extras:

# task_role_arn: arnawsiam:123456789012role/MyTaskRole

# execution_role_arn: arnawsiam:123456789012role/MyExecRole

# cluster: arnawsecsus east 1123456789012:cluster/my-cluster

# launch_type: FARGATE

# subnets: [subnet-abc, subnet-def]

# security_groups: [sg-123]

# assign_public_ip: true

# env:

# PREFECT_LOGGING_LEVEL: DEBUG```

Notes:

- cpu and memory here are forwarded to the ECS task definition/overrides used by the worker.

- You can also set default job variables on the ECS work pool itself; deployment-level job_variables win if both are present.

- Make sure your cpu/memory combo matches AWS Fargate’s allowed values, or ECS will sulk.

Docs:

- Customize job variables: Prefect docs – Customize job variables

- ECS guide: Prefect AWS ECS guide