<@ULVA73B9P> In my prefect.yaml I used to have a b...
# ask-marvin
a
@Marvin In my prefect.yaml I used to have a build and push step for a docker image that I push to Azure container registry.
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build:
  - 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
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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
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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.
m
It seems you are attempting to manually manage your Docker image and simply use it in your Prefect deployment. The key step is ensuring that the image is correctly referenced in your deployment configuration. ### Key Points: 1. Image Reference: In your
prefect.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:
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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.
a
@Marvin how do I pull the docker image correctly then?
m
To correctly pull and use a Docker image in your Prefect deployment, especially when dealing with an Azure Container Registry, follow these steps: ### Steps to Pull Docker Image: 1. Image Configuration: Ensure your
prefect.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:
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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.
a
where do i put the credentials in this though?
@Marvin where do i put the credentials in this though?
m
To handle Docker registry credentials in Prefect, particularly for Azure Container Registry, you can use Prefect's block storage for secure and dynamic access to these credentials. Here’s how you can set it up: ### Steps to Configure Docker Registry Credentials: 1. Create a Docker Registry Block: - In Prefect, you can create a Docker registry block that securely stores your credentials. This block can then be referenced in your
prefect.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:
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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.