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.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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