Model deployment with Docker image

[mariamedp]

The template currently relies on the azureml SDK to natively deploy the model as a real-time webservice in a selected compute, using Model.deploy. A common request from client is to provide a Docker file that a production team can deploy with a higher degree of flexibility (pod security, management, etc).

The template needs to implement a second scenario which leverages the Model.package functionality to create a Docker imagefile.

It would be nice to have a parameter in the deploy-model YAML template to choose which type of deployment the user wants:

• Native deployment: the pipeline deploys the model in a webservice using AML, runs a smoke test, etc. (current behavior).
• Docker image: the pipeline generates an artifact with this packaged model instead of deploying it as a webservice.

After the package has been created, a kubectl command may connect to the targeted AKS and run the docker image

[Nina101]

María Medina (@mariamedp) I would like to help the team on this. I am advising a customer using our current accelerator and their use case is exactly what you are describing now. Just ping through Teams. MS alias: vyle