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.
# 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()
Expand your ML pipelines with more than 50 ZenML Integrations
