Diogo Ferreira
01/27/2025, 2:48 PMMarvin
01/27/2025, 2:48 PMmy_flow.py
) to test your deployment setup.
3. Create a prefect.yaml
File: This file will define your Prefect deployment, including the image build specification. It allows Prefect to build your Docker image during deployment.
4. Deploy the Flow: Deploy your flow to Prefect Cloud or a self-managed server, specifying the ECS work pool. This can be done using the Prefect CLI or UI.
5. Run the Deployment: Use the Prefect UI to find your deployment and click "Quick Run" to test the setup.
6. Configure ECS Roles and Permissions: Ensure your ECS tasks have the necessary permissions by creating a role with policies such as AmazonECSTaskExecutionRolePolicy
for pulling images from ECR and publishing logs to CloudWatch.
7. Set Up ECS Worker Service: Define an ECS task with a Docker image for the Prefect worker and the required resources. Start the worker using the command prefect worker start --pool my-ecs-pool
.
For more detailed guidance, refer to the Prefect AWS ECS Integration Guide.
The top-level Prefect API includes functions like deploy
and flow
, which may be useful in scripting your CI/CD processes. You can explore these further in the Prefect API documentation.
If you have specific requirements or additional questions about integrating with PyO3, feel free to ask!