@Marvin how can i use serverless compute on prefect (AWS ECS Fargate), and utilize a custom docker image that I've already built and stored on AWS ECR? My prefect server is self hosted running prefect v2.

Deploying your custom Docker image to AWS ECS Fargate with Prefect v2 can be accomplished through a few key steps. Here’s a concise yet comprehensive guide to get you started: 1. Push Your Docker Image to AWS ECR: Make sure your Docker image is already created and pushed to Amazon Elastic Container Registry (ECR). You can follow this command to create a repository and push your image:

shell
   ecr create-repository \
   --repository-name <my-ecr-repo> \
   --region <region>

2. Create a

prefect.yaml

File: Prefect can use a

prefect.yaml

file to manage your Docker build and deployment. Here's a basic template:

yaml
   name: ecs-worker-guide
   prefect-version: 2.14.20
   build:
     - prefect_docker.deployments.steps.build_docker_image:
         id: build_image
         requires: prefect-docker>=0.3.1
         image_name: <my-ecr-repo>
         tag: latest
         dockerfile: auto
   push:
     - prefect_docker.deployments.steps.push_docker_image:
         requires: prefect-docker>=0.3.1
         image_name: '{{ build_image.image_name }}'
         tag: '{{ build_image.tag }}'

3. Configure ECS and Fargate in Prefect: Prefect offers integrations with AWS ECS. You’ll need to ensure your prefect configuration directs flow runs to Fargate. Here's one way you might configure that: - Utilize

prefect.aws.ecs

to define the necessary environment settings and resources required. 4. Deploy & Execute: After setting up your YAML configuration, deploy your flow to Prefect and execute it. Ensure your Prefect server has access to the necessary AWS credentials and permissions to interact with ECS and ECR. Check the Prefect AWS ECS Guide for detailed steps and setup requirements. If you encounter issues around provisioning with custom names or logging, there are some known issues such as with the Dask executor and logging outputs that are detailed on GitHub: - Provision resources with user-provided names - Potential logging discrepancies discussed in GitHub Issue regarding FargateCluster and Dask. I hope this guides your deployment smoothly! And remember, if anything goes amiss, it's likely the universe conspiring to remind you about debugging.