Add Terraform option to environment_setup (#268)

* setup basic folder and file structure

* add tf backend file and bash script to create state storage

* basic pipeline for infrastructure with tf - yaml, tf, bash

* naming and deleting unnecessary bash script

* updated documentation

* added to the get_started.md guide

* added terraform plan step

docs/code_description.md

@@ -19,6 +19,7 @@ High level directory structure for this repository:
 ├── docs                  <- Extensive markdown documentation for entire project.
 ├── environment_setup     <- The top-level folder for everything related to infrastructure.
 │   ├── arm-templates     <- Azure Resource Manager(ARM) templates to build infrastructure needed for this project. 
+│   ├── tf-templates      <- Terraform templates to build infrastructure needed for this project.
 ├── experimentation       <- Jupyter notebooks with ML experimentation code.
 ├── ml_service            <- The top-level folder for all Azure Machine Learning resources.
 │   ├── pipelines         <- Python script that builds Azure Machine Learning pipelines.
@@ -35,7 +36,11 @@ The repository provides a template with folders structure suitable for maintaini
 
 - `environment_setup/install_requirements.sh` : This script prepares a local conda environment i.e. install the Azure ML SDK and the packages specified in environment definitions.
 
-- `environment_setup/iac-*.yml, arm-templates` : Infrastructure as Code piplines to create and delete required resources along with corresponding arm-templates.
+- `environment_setup/iac-*-arm.yml, arm-templates` : Infrastructure as Code piplines to create required resources using ARM, along with corresponding arm-templates. Infrastructure as Code can be deployed with this template or with the Terraform template.
+
+- `environment_setup/iac-*-tf.yml, tf-templates` : Infrastructure as Code piplines to create required resources using Terraform, along with corresponding tf-templates. Infrastructure as Code can be deployed with this template or with the ARM template.
+
+- `environment_setup/iac-remove-environment.yml` : Infrastructure as Code piplines to delete the created required resources.
 
 - `environment_setup/Dockerfile` : Dockerfile of a build agent containing Python 3.6 and all required packages.
 

docs/getting_started.md

@@ -81,7 +81,7 @@ More variables are available for further tweaking, but the above variables are a
 
 ## Provisioning resources using Azure Pipelines
 
-The easiest way to create all required Azure resources (Resource Group, Azure ML Workspace, Container Registry, and others) is to use the **Infrastructure as Code (IaC)** [pipeline in this repository](../environment_setup/iac-create-environment-pipeline.yml). The pipeline takes care of setting up all required resources based on these [Azure Resource Manager templates](../environment_setup/arm-templates/cloud-environment.json).
+The easiest way to create all required Azure resources (Resource Group, Azure ML Workspace, Container Registry, and others) is to use the **Infrastructure as Code (IaC)** [pipeline with ARM templates](../environment_setup/iac-create-environment-pipeline-arm.yml) or the [pipeline with Terraform templates](../environment_setup/iac-create-environment-pipeline-tf.yml). The pipeline takes care of setting up all required resources based on these [Azure Resource Manager templates](../environment_setup/arm-templates/cloud-environment.json), or based on these [Terraform templates](../environment_setup/tf-templates).
 
 ### Create an Azure DevOps Service Connection for the Azure Resource Manager
 
@@ -100,10 +100,12 @@ In your Azure DevOps project, create a build pipeline from your forked repositor
 
 ![Build connect step](./images/build-connect.png)
 
-Select the **Existing Azure Pipelines YAML file** option and set the path to [/environment_setup/iac-create-environment-pipeline.yml](../environment_setup/iac-create-environment-pipeline.yml):
+Select the **Existing Azure Pipelines YAML file** option and set the path to [/environment_setup/iac-create-environment-pipeline-arm.yml](../environment_setup/iac-create-environment-pipeline-arm.yml) or to [/environment_setup/iac-create-environment-pipeline-tf.yml](../environment_setup/iac-create-environment-pipeline-tf.yml), depending on if you want to deploy your infrastructure using ARM templates or Terraform:
 
 ![Configure step](./images/select-iac-pipeline.png)
 
+If you decide to use Terraform, make sure the ['Terraform Build & Release Tasks' from Charles Zipp](https://marketplace.visualstudio.com/items?itemName=charleszipp.azure-pipelines-tasks-terraform) is installed.
+
 Having done that, run the pipeline:
 
 ![IaC run](./images/run-iac-pipeline.png)

environment_setup/iac-create-environment-pipeline-tf.yml

@@ -0,0 +1,72 @@
+# CI/PR Pipeline that deploys an TF template to create or update the resources needed by the other pipelines.
+trigger:
+  branches:
+    include:
+    - master
+  paths:
+    include:
+    - environment_setup/tf-templates/*
+pr:
+  branches:
+    include:
+    - master
+  paths:
+    include:
+    - environment_setup/tf-templates/*
+
+pool:
+  vmImage: 'ubuntu-latest'
+
+variables:
+- group: devopsforai-aml-vg
+
+steps:
+- task: charleszipp.azure-pipelines-tasks-terraform.azure-pipelines-tasks-terraform-installer.TerraformInstaller@0
+  displayName: 'Use Terraform 0.12.24'
+  inputs:
+    terraformVersion: 0.12.24
+
+- task: charleszipp.azure-pipelines-tasks-terraform.azure-pipelines-tasks-terraform-cli.TerraformCLI@0
+  displayName: 'TF init - Deploy MLOps resources to Azure'
+  inputs:
+    command: init
+    commandOptions: '-backend=true -backend-config=$(Build.SourcesDirectory)/environment_setup/tf-templates/backend.tf'
+    workingDirectory: '$(Build.SourcesDirectory)/environment_setup/tf-templates'
+    backendType: azurerm
+    backendServiceArm: $(AZURE_RM_SVC_CONNECTION)
+    ensureBackend: true
+    backendAzureRmResourceGroupLocation: $(LOCATION)
+    backendAzureRmResourceGroupName: $(RESOURCE_GROUP)
+    backendAzureRmStorageAccountName: 'statestor'
+    backendAzureRmStorageAccountSku: 'Standard_LRS'
+    backendAzureRmContainerName: 'tfstate-cont'
+    backendAzureRmKey: 'mlopsinfra.tfstate'
+
+- task: charleszipp.azure-pipelines-tasks-terraform.azure-pipelines-tasks-terraform-cli.TerraformCLI@0
+  displayName: 'TF validate - Deploy MLOps resources to Azure'
+  inputs:
+    command: validate
+    workingDirectory: '$(Build.SourcesDirectory)/environment_setup/tf-templates'
+
+- task: charleszipp.azure-pipelines-tasks-terraform.azure-pipelines-tasks-terraform-cli.TerraformCLI@0
+  displayName: 'TF plan - Deploy MLOps resources to Azure'
+  inputs:
+    command: plan
+    workingDirectory: '$(Build.SourcesDirectory)/environment_setup/tf-templates'
+    environmentServiceName: $(AZURE_RM_SVC_CONNECTION)
+  env:
+    TF_VAR_BASE_NAME: $(BASE_NAME)
+    TF_VAR_RESOURCE_GROUP: $(RESOURCE_GROUP)
+    TF_VAR_WORKSPACE_NAME: $(WORKSPACE_NAME)
+
+- task: charleszipp.azure-pipelines-tasks-terraform.azure-pipelines-tasks-terraform-cli.TerraformCLI@0
+  displayName: 'TF apply - Deploy MLOps resources to Azure'
+  inputs:
+    command: apply
+    workingDirectory: '$(Build.SourcesDirectory)/environment_setup/tf-templates'
+    environmentServiceName: $(AZURE_RM_SVC_CONNECTION)
+  env:
+    TF_VAR_BASE_NAME: $(BASE_NAME)
+    TF_VAR_RESOURCE_GROUP: $(RESOURCE_GROUP)
+    TF_VAR_WORKSPACE_NAME: $(WORKSPACE_NAME)
+

environment_setup/tf-templates/backend.tf

@@ -0,0 +1,4 @@
+terraform {
+  backend "azurerm" {
+  }
+}

environment_setup/tf-templates/main.tf

@@ -0,0 +1,71 @@
+provider "azurerm" {
+ version = "=2.3.0"
+ features {}
+}
+
+variable BASE_NAME {}
+variable RESOURCE_GROUP {}
+variable WORKSPACE_NAME {}
+
+#--------------------------------------------------------------------------------
+
+#Set the already-existing resource group
+data "azurerm_resource_group" "amlrg" {
+  name = var.RESOURCE_GROUP
+}
+
+#Set client config for a.o. tenant id
+data "azurerm_client_config" "currentconfig" {
+}
+
+#--------------------------------------------------------------------------------
+
+# Storage account for AML Service
+resource "azurerm_storage_account" "amlstor" {
+  name                     = "${var.BASE_NAME}amlsa"
+  location                 = data.azurerm_resource_group.amlrg.location
+  resource_group_name      = data.azurerm_resource_group.amlrg.name
+  account_tier             = "Standard"
+  account_replication_type = "LRS"
+}
+
+# Keyvault for AML Service
+resource "azurerm_key_vault" "amlkv" {
+  name                = "${var.BASE_NAME}-AML-KV"
+  location            = data.azurerm_resource_group.amlrg.location
+  resource_group_name = data.azurerm_resource_group.amlrg.name
+  tenant_id           = data.azurerm_client_config.currentconfig.tenant_id
+  sku_name            = "standard"
+}
+
+# App Insights for AML Service
+resource "azurerm_application_insights" "amlai" {
+  name                = "${var.BASE_NAME}-AML-AI"
+  location            = data.azurerm_resource_group.amlrg.location
+  resource_group_name = data.azurerm_resource_group.amlrg.name
+  application_type    = "web"
+}
+
+# Container registry for AML Service
+resource "azurerm_container_registry" "amlacr" {
+  name                     = "${var.BASE_NAME}amlcr"
+  resource_group_name      = data.azurerm_resource_group.amlrg.name
+  location                 = data.azurerm_resource_group.amlrg.location
+  sku                      = "Standard"
+  admin_enabled            = true
+}
+
+# ML Workspace for AML Service, depending on the storage account, Keyvault, App Insights and ACR.
+resource "azurerm_machine_learning_workspace" "amlws" {
+  name                    = var.WORKSPACE_NAME
+  location                = data.azurerm_resource_group.amlrg.location
+  resource_group_name     = data.azurerm_resource_group.amlrg.name
+  application_insights_id = azurerm_application_insights.amlai.id
+  key_vault_id            = azurerm_key_vault.amlkv.id
+  storage_account_id      = azurerm_storage_account.amlstor.id
+  container_registry_id   = azurerm_container_registry.amlacr.id
+
+  identity {
+    type = "SystemAssigned"
+  }
+}