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README.md

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Overview

The samples in this repo run on Azure ML. Even when you run parts of them locally, they need to retrieve an offline context from Azure ML. So the first thing to do is to provision Azure resources.

  1. In Azure DevOps create a variable group called iac-aml-vg with the following variables:
name description
AZURE_RM_SVC_CONNECTION Azure DevOps service connection to Azure Subscription or Resource Group
BASE_NAME a unique name used as prefix for Azure resources to be provisioned
LOCATION Azure region where the resources should be provisioned
RESOURCE_GROUP Azure Resource Group name in which the resources should be provisioned
SUBSCRIPTION_ID Azure Subscription ID
WORKSPACE_NAME Azure ML Workspace name

Note: The credential used for AZURE_RM_SVC_CONNECTION must have minimum contributor role to the RESOURCE_GROUP.

  1. Create an Azure DevOps pipeline from iac-create-environment-pipeline-arm.yml, and run the pipeline to provision the resources.

Note:(BASE_NAME)-AML-KV is used by Azure ML, and kv-common-(BASE_NAME) will be used by user to store their own secrets.

  1. Optionally create another pipeline from iac-remove-environment-pipeline.yml that can be used to remove the entire Resource Group where resources were previously provisioned.