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readme.md

Azure Machine Learning workspace (moderately secure network set up)

This deployment configuration specifies an Azure Machine Learning workspace, and its associated resources including Azure Key Vault, Azure Storage, Azure Application Insights and Azure Container Registry.

In addition to these core services, this configuration specifies any networking components that are required to set up Azure Machine Learning for private network connectivity using Azure Private Link.

This configuration describes the minimal set of resources you require to get started with Azure Machine Learning in a network-isolated set-up. This configuration creates new network components. Use Azure Bastion to securely connect to the Windows Data Science Virtual Machine. If you want to reuse existing network components, see 202 example.

Resources

Terraform Resource Type Description
azurerm_resource_group The resource group all resources get deployed into
azurerm_bastion_host An Azure Bastion Instance to securely RDP/SSH into Virtual Machines deployed into the Virtual Network
azurerm_windows_virtual_machine A Windows Data Science Virtual Machine used for connecting to the Azure Machine Learning workspace
azurerm_application_insights An Azure Application Insights instance associated to the Azure Machine Learning workspace
azurerm_key_vault An Azure Key Vault instance associated to the Azure Machine Learning workspace
azurerm_storage_account An Azure Storage instance associated to the Azure Machine Learning workspace
azurerm_container_registry An Azure Container Registry instance associated to the Azure Machine Learning workspace
azurerm_machine_learning_workspace An Azure Machine Learning workspace instance
azurerm_virtual_network An Azure Machine Learning workspace instance
azurerm_subnet An Azure Machine Learning workspace instance
azurerm_private_dns_zone Private DNS Zones for FQDNs required for Azure Machine Learning and associated resources
azurerm_private_dns_zone_virtual_network_link Virtual network links of the Private DNS Zones to the virtual network resource
azurerm_private_endpoint Private Endpoints for the Azure Machine Learning workspace and associated resources
azurerm_machine_learning_compute_instance An Azure Machine Learning compute instance a single-node managed compute.
azurerm_machine_learning_compute_cluster An Azure Machine Learning compute cluster as multi-node shared and managed compute.
azurerm_network_security_group Network security group with required inbound and outbound rules for Azure Machine Learning.

Variables

Name Description Default
name Name of the deployment -
environment The deployment environment name (used for pre- and postfixing resource names) dev
location The Azure region used for deployments East US
vnet_address_space Address space of the virtual network ["10.0.0.0/16"]
training_subnet_address_space Address space of the training subnet ["10.0.1.0/24"]
aks_subnet_address_space Address space of the aks subnet ["10.0.2.0/23"]
ml_subnet_address_space Address space of the ML workspace subnet ["10.0.0.0/24"]
image_build_compute_name Name of the compute cluster to be created and configured for building docker images (Azure ML Environments) image-builder
dsvm_name Name of the Windows Data Science VM resource vmdsvm01
dsvm_admin_username Admin username of the Windows Data Science VM azureadmin
dsvm_host_password Password for the admin username of the Data Science VM -

Usage

terraform init

terraform plan \
          -var name=azureml567 \
          -var environment=dev \
          # -var <for a full list of variables and default values, see 'Variables'> \
          -out demo.tfplan

terraform apply "demo.tfplan"

Learn more