terraform/quickstart/101-machine-learning
Dennis Eikelenboom 9d04bc247e ci naming
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Azure Machine Learning workspace (public network connectivity)

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.

This configuration describes the minimal set of resources you require to get started with Azure Machine Learning.

Network connectivity to the workspace is allowed over public endpoints, making this configuration suitable for open source projects or pilot environments.

Resources

Terraform Resource Type Description
azurerm_resource_group The resource group all resources get deployed into.
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_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.

Variables

Name Description
name Name of the deployment
environment The deployment environment name (used for pre- and postfixing resource names)
location The Azure region used for deployments

Usage

terraform init

terraform plan -var name=azureml567 -out demo.tfplan

terraform apply "demo.tfplan"

Learn more