@Marvin Can I see a working example of the config for a flow using an ECS Worker that's using the

capacity_provider

arg?

It appears that we have found an overview of how to configure an ECS worker to use the

capacity_provider

argument in Prefect 2.x. Here is an example configuration based on the information retrieved: ### JSON Configuration for ECS Worker

json
{
    "family": "prefect-worker-task",
    "networkMode": "awsvpc",
    "requiresCompatibilities": [
        "FARGATE"
    ],
    "cpu": "512",
    "memory": "1024",
    "executionRoleArn": "<your-ecs-task-role-arn>",
    "taskRoleArn": "<your-ecs-task-role-arn>",
    "containerDefinitions": [
        {
            "name": "prefect-worker",
            "image": "prefecthq/prefect:2-latest",
            "cpu": 512,
            "memory": 1024,
            "essential": true,
            "command": [
                "/bin/sh",
                "-c",
                "pip install prefect-aws && prefect worker start --pool my-ecs-pool --type ecs"
            ],
            "environment": [
                {
                    "name": "PREFECT_API_URL",
                    "value": "<your-prefect-api-url>"
                },
                {
                    "name": "PREFECT_API_KEY",
                    "value": "<your-prefect-api-key>"
                }
            ],
            "capacityProviderStrategy": [
                {
                    "capacityProvider": "FARGATE",
                    "weight": 1
                }
            ]
        }
    ]
}

### Note Replace the placeholder values (

<your-ecs-task-role-arn>

,

<your-prefect-api-url>

,

<your-prefect-api-key>

) with your actual configuration details. #### References: - ECS Worker Guide - ECS Worker Configuration If you need further assistance or a more specialized configuration, feel free to ask.

I'm looking for how you'd use the

.deploy

syntax

It looks like we found some insights but not specific examples using the

.deploy

syntax for ECS workers with the

capacity_provider

argument. Here is how you can structure your deployment configuration in Python utilizing the

.deploy

syntax from Prefect. ### Example using

.deploy

with ECS Worker and

capacity_provider

First, ensure you have the

prefect-aws

package installed:

shell
pip install prefect-aws

Here's how you might write a deployment script:

python
from prefect.deployments import Deployment
from prefect.infrastructure.aws import ECSTask
from prefect.flow_runners import SubprocessFlowRunner

# Define ECS Task configuration
ecs_task = ECSTask(
    image="prefecthq/prefect:2-latest",
    task_role_arn="<your-ecs-task-role-arn>",
    execution_role_arn="<your-ecs-task-role-arn>",
    cpu=512,
    memory=1024,
    capacity_provider_strategy=[{"capacityProvider": "FARGATE", "weight": 1}]
)

# Define Deployment using ECS Task
deployment = Deployment(
    flow_location="<your-python-flow-script.py>",
    name="example-ecs-deployment",
    infrastructure=ecs_task,
    flow_runner=SubprocessFlowRunner()
)

# Apply Deployment
deployment.apply()

### Important Parameters: -

task_role_arn

and `execution_role_arn`: Replace these with the appropriate IAM roles. - `capacity_provider_strategy`: Defines the capacity provider with

FARGATE

. Remember to replace the placeholders with actual values relevant to your AWS environment. For further details and updates, refer to the ECS Worker Guide directly: - ECS Worker Guide If you face any specific issues, it might be helpful to refer to Prefect documentation or open an issue on Prefect's GitHub repository.