Seamlessly Store and Manage Container Images with Azure Container Registry Integration in ZenML

Enhance your MLOps workflow by integrating Azure Container Registry with ZenML. This integration allows you to efficiently store, manage, and deploy container images for your ML components, leveraging the scalability and reliability of Azure's cloud-based container registry service.

Features with ZenML

Seamless integration of Azure Container Registry within ZenML pipelines
Effortless storage and management of container images for ML components
Scalable and reliable container registry backed by Azure's cloud infrastructure
Integrate with other Azure-based stack components for end-to-end MLOps
Secure access and authentication using Azure credentials or service connectors

‍

Main Features

Fully-managed, private container registry for storing Docker and OCI images
High availability and geo-replication for global deployments
Integrated security features like role-based access control and network restrictions
Support for artifact signing and image vulnerability scanning
Comprehensive APIs and tooling for automation and CI/CD integration

‍

How to use ZenML with

Azure Container Registry


# 1. Install the ZenML `azure` integration
# zenml integration install azure

# 2. Register an Azure container registry using its URI
# zenml container-registry register <NAME> --flavor=azure --uri="<YOUR URI>"

# 3. Update your stack with your new container registry 
# zenml stack update -c <NAME>

from zenml import pipeline, step

@step
def hello_world() -> str:
    return "Hello World!"


@pipeline
def my_pipeline():
    _ = hello_world()


if __name__ == "__main__":
    my_pipeline()

The code example demonstrates how to set up and use Azure Container Registry with ZenML:

Install the Azure integration
Register a container registry with the Azure flavor
Update your active stack with your new container registry (You need a containerized remote orchestrator and a remote artifact store)
Use the @step and @pipeline decorators to define a pipeline. The orchestrator will use container images that are pushed to the Azure Container Registry when the pipeline is run.

‍

Additional Resources

Read the guide for setting up a full Azure stack

Read the ZenML Azure Container Registry Documentation

Read the docs on how to customize docker builds