This repo shows an example for rolling out a complete Azure Machine Learning enterprise enviroment via Terraform.

This includes rollout of the following resources:

• Azure Machine Learning Workspace with Private Link
• Azure Storage Account with VNET binding (using Service Endpoints) and Private Link for Blob and File
• Azure Key Vault with VNET binding (using Service Endpoints) and Private Link
• Azure Container Registry
• Azure Application Insights
• Virtual Network
• Jumphost (Windows) with Bastion for easy access to the VNET
• Compute Cluster (in VNET)
• Compute Instance (in VNET)
• (Azure Kubernetes Service - disabled by default and still under development)

Make sure you have the Azure CLI and the Azure Machine Learning CLI extension installed (az extension add -n azure-cli-ml).

1. Copy terraform.tfvars.example to terraform.tfvars
2. Update terraform.tfvars with your desired values
3. Run Terraform

   $ terraform init
   $ terraform plan
   $ terraform apply

If you want to deploy AKS, you need to have Azure Machine Learning CLI installed.

• Still need to update Default Datastore to use Managed Identity of the Studio UI data access

• The user fileshare for the Compute Instances will be automatically provisioned upon first instance access