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!Bring your towel and join one of the fastest growing data communities. Welcome to our second-generation open source orchestration platform, a completely rethought approach to dataflow automation.
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