to your stack:

zenml integration install azure -yHaving trouble with this command? You can use poetry or pip to install the requirements of any ZenML integration directly. In order to obtain the exact requirements of the Azure integration you can use zenml integration requirements azure.

The only configuration parameter mandatory for registering an Azure Artifact Store is the root path URI, which needs to point to an Azure Blog Storage container and take the form az://container-name or abfs://container-name. Please read the Azure Blob Storage documentation on how to provision an Azure Blob Storage container.

With the URI to your Azure Blob Storage container known, registering an Azure Artifact Store can be done as follows:

# Register the Azure artifact store

zenml artifact-store register cloud_artifact_store -f azure --path=az://container-name

For more information, read the dedicated Azure artifact store flavor guide.

You can create a remote artifact store in pretty much any environment, including other cloud providers using a cloud-agnostic artifact storage such as Minio.

It is also relatively simple to create a custom stack component flavor for your use case.

Having trouble with setting up infrastructure? Join the ZenML community and ask for help!

Configuring permissions with your first service connector

While you can go ahead and run your pipeline on your stack if your local client is configured to access it, it is best practice to use a service connector for this purpose. Service connectors are quite a complicated concept (We have a whole docs section on them) - but we're going to be starting with a very basic approach.