Adam
03/20/2025, 9:58 AMbuild:
- prefect_docker.deployments.steps.build_docker_image:
image_name: <http://company.azurecr.io/image-name|company.azurecr.io/image-name>
tag: latest
dockerfile: Dockerfile
platform: "linux/amd64"
push:
- prefect_docker.deployments.steps.push_docker_image:
requires: prefect-docker
image_name: <http://company.azurecr.io/image-name|company.azurecr.io/image-name>
credentials: "{{ prefect.blocks.docker-registry-credentials.dev-registry }}"
tag: latest
then I had this deployment
deployments:
- name: pipeline-name
description: Pipeline description
entrypoint:entry.py:flow
parameters: { "environment": "prod" }
schedules:
- cron: "0 2 * * *"
work_pool:
name: serverless-push-work-pool
job_variables:
image: "{{ image_name }}"
now i want to build and push the image myself and only use the image for the pipeline. So i removed the build and push step and updated the deployment to
deployments:
- name: pipeline-name
description: Pipeline description
entrypoint:entry.py:flow
parameters: { "environment": "prod" }
schedules:
- cron: "0 2 * * *"
work_pool:
name: serverless-push-work-pool
job_variables:
image: <http://company.azurecr.io/image-name|company.azurecr.io/image-name>
but it does not work.Marvin
03/20/2025, 9:59 AMprefect.yaml
, ensure the job_variables
section within the work_pool
includes the correct image reference. It should not include the protocol (http://
). Use the format: <http://company.azurecr.io/image-name|company.azurecr.io/image-name>
.
2. Templating: Prefect recommends using templated values for image references to avoid mismatches. If you want to use a direct image reference, ensure consistency across your configuration.
3. Documentation References:
- Infrastructure Concepts: Discusses using templated values within prefect.yaml
.
- Docker Deployment Example: Provides insights on using Docker images in deployments.
If you want to avoid using templated values, ensure your prefect.yaml
looks like this:
yaml
deployments:
- name: pipeline-name
description: Pipeline description
entrypoint: entry.py:flow
parameters: { "environment": "prod" }
schedules:
- cron: "0 2 * * *"
work_pool:
name: serverless-push-work-pool
job_variables:
image: "<http://company.azurecr.io/image-name:latest|company.azurecr.io/image-name:latest>"
### Troubleshooting:
- Check Image Pull: Ensure the image is accessible and correctly tagged in your Azure Container Registry.
- Environment Variables: Ensure any necessary credentials or environment variables for accessing your image are correctly set.
If issues persist, reviewing Prefect's logs might provide further insights into what's going wrong.Adam
03/20/2025, 10:02 AMMarvin
03/20/2025, 10:02 AMprefect.yaml
correctly references the image without the protocol (http://
). Use the format: <http://company.azurecr.io/image-name:latest|company.azurecr.io/image-name:latest>
.
2. Authentication:
- Make sure that your environment or Prefect deployment has the necessary credentials to access Azure Container Registry. This is typically done using a Docker registry block in Prefect.
- You might need to authenticate using Docker CLI before running the deployment if not using Prefect's built-in credentials management.
3. Prefect Configuration:
- When creating a deployment, ensure that the image is available in the execution environment. Prefect needs access to the image, so the worker or agent running the flow must have Docker access configured.
- If using Prefect's Docker infrastructure, specify the image in the deployment configuration like this:
yaml
deployments:
- name: pipeline-name
description: Pipeline description
entrypoint: entry.py:flow
parameters: { "environment": "prod" }
schedules:
- cron: "0 2 * * *"
work_pool:
name: serverless-push-work-pool
job_variables:
image: "<http://company.azurecr.io/image-name:latest|company.azurecr.io/image-name:latest>"
4. Documentation References:
- Docker Deployment Example: Provides insights on using Docker images in deployments.
5. Troubleshooting:
- Check Access: Ensure that the Prefect agent or worker has network access to Azure Container Registry.
- Logs: Review Prefect and Docker logs for any authentication or network issues.
By following these steps, you should be able to pull and use your Docker image in a Prefect deployment effectively. If issues persist, ensure that your Docker setup and Prefect's access configurations are correctly aligned.Adam
03/20/2025, 10:04 AMAdam
03/20/2025, 10:06 AMMarvin
03/20/2025, 10:06 AMprefect.yaml
.
2. Define the Credentials Block:
- Use Prefect's UI or CLI to create a Docker registry block. You will need to provide your Azure Container Registry credentials (username and password or service principal credentials).
3. Reference the Credentials in prefect.yaml
:
- In your prefect.yaml
, reference this block in the job_variables
or wherever needed to authenticate the Docker pull operation.
Here’s a basic structure of how it might look:
yaml
deployments:
- name: pipeline-name
description: Pipeline description
entrypoint: entry.py:flow
parameters: { "environment": "prod" }
schedules:
- cron: "0 2 * * *"
work_pool:
name: serverless-push-work-pool
job_variables:
image: "<http://company.azurecr.io/image-name:latest|company.azurecr.io/image-name:latest>"
credentials: "{{ prefect.blocks.docker-registry-credentials.dev-registry }}"
### Documentation References:
- Infrastructure Concepts: Discusses the use of credentials and block references.
- Docker Deployment Example: Provides guidance on Docker image usage and authentication.
By setting up and referencing the credentials block, you ensure that your Docker operations can authenticate with Azure Container Registry securely.