Terraform Pipeline (Part-18)

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Terraform Pipeline

A Terraform pipeline automates the process of planning, applying, and managing infrastructure as code (IaC) with Terraform. By integrating Terraform with a CI/CD pipeline, you can ensure consistent, repeatable, and automated deployments of infrastructure changes. This helps maintain the integrity of your infrastructure and reduces the risk of human error.

Steps to Set Up a Terraform Pipeline

  1. Version Control Integration: Use a version control system (e.g., Git) to store and manage your Terraform configurations.
  2. CI/CD Tool Selection: Choose a CI/CD tool (e.g., Jenkins, GitHub Actions, GitLab CI, CircleCI) to automate the Terraform workflow.
  3. Pipeline Configuration: Define the pipeline stages and steps for linting, formatting, planning, applying, and destroying Terraform configurations.
  4. Environment Management: Manage multiple environments (e.g., dev, staging, prod) using Terraform workspaces or separate configuration files.

Example: Setting Up a Terraform Pipeline with GitHub Actions

Prerequisites

  • A GitHub repository containing your Terraform configurations.
  • An AWS account (or any cloud provider) configured with appropriate IAM roles and permissions.
  • GitHub Actions enabled for your repository.

Step 1: Terraform Configuration

Create a simple Terraform configuration in your repository.

File: main.tf

provider "aws" {
  region = "us-east-1"
}

resource "aws_instance" "example" {
  ami           = "ami-0c55b159cbfafe1f0"
  instance_type = "t2.micro"

  tags = {
    Name = "example-instance"
  }
}

Step 2: GitHub Actions Workflow Configuration

Create a GitHub Actions workflow file to automate the Terraform process.

File: .github/workflows/terraform.yml

name: Terraform CI

on:
  push:
    branches:
      - main
  pull_request:
    branches:
      - main

jobs:
  terraform:
    name: 'Terraform'
    runs-on: ubuntu-latest

    env:
      AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
      AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
      AWS_DEFAULT_REGION: 'us-east-1'

    steps:
      - name: Checkout code
        uses: actions/checkout@v2

      - name: Set up Terraform
        uses: hashicorp/setup-terraform@v1
        with:
          terraform_version: 1.0.0

      - name: Terraform Init
        run: terraform init

      - name: Terraform Format
        run: terraform fmt -check

      - name: Terraform Validate
        run: terraform validate

      - name: Terraform Plan
        run: terraform plan

      - name: Terraform Apply
        if: github.ref == 'refs/heads/main'
        run: terraform apply -auto-approve

      - name: Terraform Destroy
        if: github.event.pull_request.merged == true
        run: terraform destroy -auto-approve
name: Terraform CI

on:
  push:
    branches:
      - main
  pull_request:
    branches:
      - main

jobs:
  terraform:
    name: 'Terraform'
    runs-on: ubuntu-latest

    env:
      AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
      AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
      AWS_DEFAULT_REGION: 'us-east-1'

    steps:
      - name: Checkout code
        uses: actions/checkout@v2

      - name: Set up Terraform
        uses: hashicorp/setup-terraform@v1
        with:
          terraform_version: 1.0.0

      - name: Terraform Init
        run: terraform init

      - name: Terraform Format
        run: terraform fmt -check

      - name: Terraform Validate
        run: terraform validate

      - name: Terraform Plan
        run: terraform plan

      - name: Terraform Apply
        if: github.ref == 'refs/heads/main'
        run: terraform apply -auto-approve

      - name: Terraform Destroy
        if: github.event.pull_request.merged == true
        run: terraform destroy -auto-approve

Explanation of the Workflow

  • name: The name of the workflow.
  • on: Specifies the events that trigger the workflow (push to main branch and pull requests to main branch).
  • jobs: Defines the job to be run, named terraform.
  • runs-on: Specifies the type of runner to use (ubuntu-latest).
  • env: Sets environment variables for AWS credentials.
  • steps:
    • Checkout code: Uses the actions/checkout action to clone the repository.
    • Set up Terraform: Uses the hashicorp/setup-terraform action to install Terraform.
    • Terraform Init: Initializes Terraform.
    • Terraform Format: Checks the Terraform files for proper formatting.
    • Terraform Validate: Validates the Terraform configuration.
    • Terraform Plan: Runs terraform plan to show the changes that will be applied.
    • Terraform Apply: Applies the changes if the branch is main.
    • Terraform Destroy: Destroys the resources if the pull request is merged.

Step 3: Managing Secrets

  1. Add AWS Credentials to GitHub Secrets:
    • Go to your GitHub repository settings.
    • Navigate to “Secrets” and then “Actions”.
    • Add new repository secrets for AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY.

Step 4: Creating and Merging Pull Requests

  • Create a Branch: Create a new branch and make changes to your Terraform configuration.
  • Open a Pull Request: Open a pull request from your branch to the main branch.
  • Review and Merge: Review the pull request. The pipeline will run terraform plan on the pull request.
  • Merge the Pull Request: Once approved, merge the pull request. The pipeline will then run terraform apply on the main branch.

Detailed Explanation for above code

name: Terraform CI

This sets the name of the workflow, which is “Terraform CI”. It is used to identify the workflow in the GitHub Actions interface.

on:

This specifies the events that trigger the workflow.

  • push: The workflow will run when there is a push to the main branch.
  • pull_request: The workflow will run when a pull request is opened, synchronized, or reopened targeting the main branch.

jobs:

This defines the jobs to be run as part of the workflow. In this case, there is one job named terraform.

terraform:

This is the identifier for the job and contains the steps that will be executed.

name: 'Terraform'

This sets the display name of the job to “Terraform”.

runs-on: ubuntu-latest

This specifies the type of runner to use for the job. ubuntu-latest is a GitHub-hosted runner with the latest version of Ubuntu.

env:

This section sets environment variables for the job. These variables are used to authenticate with AWS.

  • AWS_ACCESS_KEY_ID: Retrieved from GitHub Secrets, this is the AWS access key ID.
  • AWS_SECRET_ACCESS_KEY: Retrieved from GitHub Secrets, this is the AWS secret access key.
  • AWS_DEFAULT_REGION: Sets the AWS region to us-east-1.
steps:

This defines the individual steps to be executed in the job.

Step 1: Checkout Code
- name: Checkout code
  uses: actions/checkout@v2
  • name: Checkout code: The name of the step.
  • uses: actions/checkout@v2: Uses the actions/checkout action to clone the repository’s code into the runner.
Step 2: Set up Terraform
- name: Set up Terraform
  uses: hashicorp/setup-terraform@v1
  with:
    terraform_version: 1.0.0
  • name: Set up Terraform: The name of the step.
  • uses: hashicorp/setup-terraform@v1: Uses the hashicorp/setup-terraform action to set up Terraform.
  • with: Specifies the version of Terraform to install. Here, terraform_version: 1.0.0 is specified.
Step 3: Terraform Init
- name: Terraform Init
  run: terraform init
  • name: Terraform Init: The name of the step.
  • run: terraform init: Runs the terraform init command to initialize the Terraform configuration.
Step 4: Terraform Format
- name: Terraform Format
  run: terraform fmt -check
  • name: Terraform Format: The name of the step.
  • run: terraform fmt -check: Runs the terraform fmt -check command to check the formatting of the Terraform files.
Step 5: Terraform Validate
- name: Terraform Validate
  run: terraform validate
  • name: Terraform Validate: The name of the step.
  • run: terraform validate: Runs the terraform validate command to validate the Terraform configuration files.
Step 6: Terraform Plan
- name: Terraform Plan
  run: terraform plan
  • name: Terraform Plan: The name of the step.
  • run: terraform plan: Runs the terraform plan command to generate and show an execution plan.
Step 7: Terraform Apply
- name: Terraform Apply
  if: github.ref == 'refs/heads/main'
  run: terraform apply -auto-approve

Step 8: Terraform Destroy

- name: Terraform Destroy
  if: github.event.pull_request.merged == true
  run: terraform destroy -auto-approve
  • name: Terraform Destroy: The name of the step.
  • if: github.event.pull_request.merged == true: This condition ensures that the step only runs if a pull request was merged.
  • run: terraform destroy -auto-approve: Runs the terraform destroy command with the -auto-approve flag to destroy the resources without requiring interactive approval.

This GitHub Actions workflow automates the Terraform process, ensuring that infrastructure changes are consistently and automatically applied. Here’s what each part of the workflow does:

  • Triggers: The workflow runs on pushes to the main branch and on pull requests targeting the main branch.
  • Job Setup: It runs on an ubuntu-latest runner and uses environment variables for AWS credentials.
  • Steps:
    • Checkout Code: Clones the repository.
    • Set Up Terraform: Installs Terraform.
    • Terraform Init: Initializes Terraform.
    • Terraform Format: Checks Terraform file formatting.
    • Terraform Validate: Validates the Terraform configuration.
    • Terraform Plan: Generates a Terraform execution plan.
    • Terraform Apply: Applies the Terraform changes (only on the main branch).
    • Terraform Destroy: Destroys the infrastructure if a pull request is merged.

This setup ensures that infrastructure changes are reviewed, validated, and applied in a controlled manner, leveraging the automation capabilities of GitHub Actions.

Example: Managing Multiple Environments

To manage multiple environments, you can use Terraform workspaces or separate configuration files for each environment.

Using Terraform Workspaces

  1. Initialize Workspaces:
terraform workspace new dev
terraform workspace new prod
  1. Configure the GitHub Actions Workflow:

Update the workflow to handle different workspaces:

File: .github/workflows/terraform.yml

In this configuration:

  • The Select Workspace step selects the appropriate workspace based on the branch (prod for main and dev for other branches).

Method 1:

name: Terraform CI

on:
  push:
    branches:
      - main
      - dev
  pull_request:
    branches:
      - main
      - dev

jobs:
  terraform:
    name: 'Terraform'
    runs-on: ubuntu-latest

    env:
      AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
      AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
      AWS_DEFAULT_REGION: 'us-east-1'

    steps:
      - name: Checkout code
        uses: actions/checkout@v2

      - name: Set up Terraform
        uses: hashicorp/setup-terraform@v1
        with:
          terraform_version: 1.0.0

      - name: Terraform Init
        run: terraform init

      - name: Select Workspace
        run: terraform workspace select ${{ github.ref == 'refs/heads/main' && 'prod' || 'dev' }}

      - name: Terraform Format
        run: terraform fmt -check

      - name: Terraform Validate
        run: terraform validate

      - name: Terraform Plan
        run: terraform plan

      - name: Terraform Apply
        if: github.ref == 'refs/heads/main'
        run: terraform apply -auto-approve

      - name: Terraform Destroy
        if: github.event.pull_request.merged == true
        run: terraform destroy -auto-approve

Method 2:

name: Terraform CI

on:
  push:
    branches:
      - main
      - dev
  pull_request:
    branches:
      - main
      - dev

jobs:
  terraform:
    name: 'Terraform'
    runs-on: ubuntu-latest

    env:
      AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
      AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
      AWS_DEFAULT_REGION: 'us-east-1'

    steps:
      - name: Checkout code
        uses: actions/checkout@v2

      - name: Set up Terraform
        uses: hashicorp/setup-terraform@v1
        with:
          terraform_version: 1.0.0

      - name: Terraform Init
        run: terraform init

      - name: Select Workspace
        id: workspace
        run: |
          if [ "${{ github.ref }}" == "refs/heads/main" ]; then
            terraform workspace select prod || terraform workspace new prod
          else
            terraform workspace select dev || terraform workspace new dev
          fi

      - name: Terraform Format
        run: terraform fmt -check

      - name: Terraform Validate
        run: terraform validate

      - name: Terraform Plan
        run: terraform plan

      - name: Terraform Apply
        if: github.ref == 'refs/heads/main'
        run: terraform apply -auto-approve

      - name: Terraform Apply Dev
        if: github.ref == 'refs/heads/dev'
        run: terraform apply -auto-approve

      - name: Terraform Destroy
        if: github.event.pull_request.merged == true
        run: |
          if [ "${{ github.ref }}" == "refs/heads/main" ]; then
            terraform destroy -auto-approve
          else
            terraform destroy -auto-approve
          fi

Method 1: Inline Conditional Expression

- name: Select Workspace
  run: terraform workspace select ${{ github.ref == 'refs/heads/main' && 'prod' || 'dev' }}

Explanation

  • Inline Conditional Expression: This method uses a single line of code to determine the workspace based on the branch.
  • Syntax: The syntax github.ref == 'refs/heads/main' && 'prod' || 'dev' is a ternary-like expression in GitHub Actions. It checks if the branch is main. If true, it selects the prod workspace; otherwise, it selects the dev workspace.

Pros

  • Simplicity: It’s a concise one-liner that’s easy to read and understand for simple conditions.
  • Readability: For those familiar with ternary-like expressions, it’s straightforward.

Cons

  • No Creation of Workspace: This method only selects an existing workspace. If the workspace does not exist, it will fail and will not create a new workspace.
  • Less Flexibility: It’s less flexible for more complex logic or additional commands

Method 2: Multi-Line Conditional Script

- name: Select Workspace
  id: workspace
  run: |
    if [ "${{ github.ref }}" == "refs/heads/main" ]; then
      terraform workspace select prod || terraform workspace new prod
    else
      terraform workspace select dev || terraform workspace new dev
    fi

Explanation

  • Multi-Line Conditional Script: This method uses a multi-line script to handle the workspace selection and creation.
  • Shell Scripting: It utilizes shell scripting to check the branch and either select the existing workspace or create a new one if it doesn’t exist.

Pros

  • Workspace Creation: This method can create the workspace if it doesn’t exist (terraform workspace select prod || terraform workspace new prod).
  • Flexibility: It’s more flexible and can be extended to include additional logic or commands.
  • Error Handling: It can handle errors more gracefully by trying to create the workspace if selection fails.

Cons

  • Complexity: Slightly more complex and verbose compared to the one-liner.

Detailed Comparison

Inline Conditional Expression

  • Simplicity:
- name: Select Workspace
  run: terraform workspace select ${{ github.ref == 'refs/heads/main' && 'prod' || 'dev' }}
  • This method is straightforward for selecting between two options based on a condition. It uses GitHub Actions’ inline conditional syntax.
  • Functionality:
    • Selects Workspace: It selects the prod workspace if the branch is main, and dev otherwise.
    • No Creation: It will fail if the specified workspace does not already exist.

Multi-Line Conditional Script

  • Flexibility:
- name: Select Workspace
  id: workspace
  run: |
    if [ "${{ github.ref }}" == "refs/heads/main" ]; then
      terraform workspace select prod || terraform workspace new prod
    else
      terraform workspace select dev || terraform workspace new dev
    fi
  • This method provides more flexibility by using a shell script to perform the selection and creation logic. It’s useful for more complex scenarios where additional logic or commands might be needed.
  • Functionality:
    • Selects or Creates Workspace: It attempts to select the prod or dev workspace and creates it if it doesn’t exist.
    • Error Handling: More robust in handling scenarios where the workspace may not exist.

Summary

  • Use the Inline Conditional Expression for simplicity when you only need to select between two workspaces and are sure they exist.
  • Use the Multi-Line Conditional Script for flexibility, especially when you need to ensure that the workspace is created if it doesn’t exist or when additional logic is required.

By setting up a Terraform pipeline, you can automate the deployment and management of your infrastructure. Using GitHub Actions as an example, you can see how to integrate Terraform with CI/CD tools to create a robust and automated workflow. This ensures consistent and repeatable infrastructure deployments, reducing the risk of errors and improving overall efficiency.

Automating infrastructure deployments in the Cloud with Terraform and Azure Pipelines

https://azuredevopslabs.com/labs/vstsextend/terraform/


Automating infrastructure deployments with Terraform and Azure Pipelines can significantly streamline and improve the efficiency of managing cloud resources. Below, I’ll walk you through the steps to set up an Azure Pipeline to automate Terraform deployments in an Azure environment.

Prerequisites

  1. Azure Subscription: Ensure you have an Azure subscription.
  2. Azure DevOps Account: Set up an Azure DevOps organization and project.
  3. Service Principal: Create a service principal to authenticate with Azure.
  4. Terraform Configuration: Write your Terraform configuration files.

Steps

  1. Create a Service Principal
  2. Create an Azure DevOps Project
  3. Store Terraform Code in a Repository
  4. Create Azure Pipeline

Detailed Steps

Step 1: Create a Service Principal

Create a service principal in Azure to allow Azure Pipelines to authenticate and deploy resources.

az ad sp create-for-rbac --name terraform-pipeline-sp --role Contributor --scopes /subscriptions/YOUR_SUBSCRIPTION_ID --sdk-auth

his command will output JSON with details required to authenticate, such as client ID, client secret, and tenant ID.

Step 2: Create an Azure DevOps Project

Create a project in Azure DevOps if you don’t have one already.

Step 3: Store Terraform Code in a Repository

Store your Terraform configuration files in a repository (e.g., Azure Repos or GitHub).

Example Terraform Configuration: main.tf

provider "azurerm" {
  features {}
}

resource "azurerm_resource_group" "example" {
  name     = "example-resources"
  location = "West US"
}

resource "azurerm_storage_account" "example" {
  name                     = "examplestorageacc"
  resource_group_name      = azurerm_resource_group.example.name
  location                 = azurerm_resource_group.example.location
  account_tier             = "Standard"
  account_replication_type = "LRS"
}

Step 4: Create Azure Pipeline

Create a pipeline in Azure DevOps to automate Terraform deployment.

Create a Pipeline YAML File: .azure-pipelines.yml

trigger:
- main

pool:
  vmImage: 'ubuntu-latest'

variables:
  # Azure service principal details
  ARM_CLIENT_ID: '$(ARM_CLIENT_ID)'
  ARM_CLIENT_SECRET: '$(ARM_CLIENT_SECRET)'
  ARM_SUBSCRIPTION_ID: '$(ARM_SUBSCRIPTION_ID)'
  ARM_TENANT_ID: '$(ARM_TENANT_ID)'
  # Terraform backend configuration
  TF_VAR_storage_account_name: '$(TF_VAR_storage_account_name)'
  TF_VAR_container_name: '$(TF_VAR_container_name)'
  TF_VAR_key: '$(TF_VAR_key)'

steps:
- task: AzureCLI@2
  inputs:
    azureSubscription: '$(azureServiceConnection)'
    scriptType: 'bash'
    scriptLocation: 'inlineScript'
    inlineScript: |
      az ad sp create-for-rbac --name terraform-pipeline-sp --role Contributor --scopes /subscriptions/$(ARM_SUBSCRIPTION_ID) --sdk-auth > auth.json
      ARM_CLIENT_ID=$(jq -r .clientId auth.json)
      ARM_CLIENT_SECRET=$(jq -r .clientSecret auth.json)
      ARM_SUBSCRIPTION_ID=$(jq -r .subscriptionId auth.json)
      ARM_TENANT_ID=$(jq -r .tenantId auth.json)

      echo "##vso[task.setvariable variable=ARM_CLIENT_ID]$ARM_CLIENT_ID"
      echo "##vso[task.setvariable variable=ARM_CLIENT_SECRET]$ARM_CLIENT_SECRET"
      echo "##vso[task.setvariable variable=ARM_SUBSCRIPTION_ID]$ARM_SUBSCRIPTION_ID"
      echo "##vso[task.setvariable variable=ARM_TENANT_ID]$ARM_TENANT_ID"

- task: UsePythonVersion@0
  inputs:
    versionSpec: '3.x'
    addToPath: true

- script: |
    pip install -r requirements.txt
  displayName: 'Install dependencies'

- script: |
    terraform init
  displayName: 'Terraform Init'

- script: |
    terraform plan
  displayName: 'Terraform Plan'

- script: |
    terraform apply -auto-approve
  displayName: 'Terraform Apply'
trigger:
- main

pool:
  vmImage: 'ubuntu-latest'

variables:
  # Azure service principal details
  ARM_CLIENT_ID: '$(ARM_CLIENT_ID)'
  ARM_CLIENT_SECRET: '$(ARM_CLIENT_SECRET)'
  ARM_SUBSCRIPTION_ID: '$(ARM_SUBSCRIPTION_ID)'
  ARM_TENANT_ID: '$(ARM_TENANT_ID)'
  # Terraform backend configuration
  TF_VAR_storage_account_name: '$(TF_VAR_storage_account_name)'
  TF_VAR_container_name: '$(TF_VAR_container_name)'
  TF_VAR_key: '$(TF_VAR_key)'

steps:
- task: AzureCLI@2
  inputs:
    azureSubscription: '$(azureServiceConnection)'
    scriptType: 'bash'
    scriptLocation: 'inlineScript'
    inlineScript: |
      az ad sp create-for-rbac --name terraform-pipeline-sp --role Contributor --scopes /subscriptions/$(ARM_SUBSCRIPTION_ID) --sdk-auth > auth.json
      ARM_CLIENT_ID=$(jq -r .clientId auth.json)
      ARM_CLIENT_SECRET=$(jq -r .clientSecret auth.json)
      ARM_SUBSCRIPTION_ID=$(jq -r .subscriptionId auth.json)
      ARM_TENANT_ID=$(jq -r .tenantId auth.json)

      echo "##vso[task.setvariable variable=ARM_CLIENT_ID]$ARM_CLIENT_ID"
      echo "##vso[task.setvariable variable=ARM_CLIENT_SECRET]$ARM_CLIENT_SECRET"
      echo "##vso[task.setvariable variable=ARM_SUBSCRIPTION_ID]$ARM_SUBSCRIPTION_ID"
      echo "##vso[task.setvariable variable=ARM_TENANT_ID]$ARM_TENANT_ID"

- task: UsePythonVersion@0
  inputs:
    versionSpec: '3.x'
    addToPath: true

- script: |
    pip install -r requirements.txt
  displayName: 'Install dependencies'

- script: |
    terraform init
  displayName: 'Terraform Init'

- script: |
    terraform plan
  displayName: 'Terraform Plan'

- script: |
    terraform apply -auto-approve
  displayName: 'Terraform Apply'

Detailed Explanation

  1. trigger: Automatically triggers the pipeline on changes to the main branch.
  2. pool: Specifies the agent pool (ubuntu-latest).
  3. variables: Sets environment variables for the Azure service principal and Terraform backend configuration.
  4. steps: Defines the steps to be executed in the pipeline.
Step 1: Authenticate with Azure
- task: AzureCLI@2
  inputs:
    azureSubscription: '$(azureServiceConnection)'
    scriptType: 'bash'
    scriptLocation: 'inlineScript'
    inlineScript: |
      az ad sp create-for-rbac --name terraform-pipeline-sp --role Contributor --scopes /subscriptions/$(ARM_SUBSCRIPTION_ID) --sdk-auth > auth.json
      ARM_CLIENT_ID=$(jq -r .clientId auth.json)
      ARM_CLIENT_SECRET=$(jq -r .clientSecret auth.json)
      ARM_SUBSCRIPTION_ID=$(jq -r .subscriptionId auth.json)
      ARM_TENANT_ID=$(jq -r .tenantId auth.json)

      echo "##vso[task.setvariable variable=ARM_CLIENT_ID]$ARM_CLIENT_ID"
      echo "##vso[task.setvariable variable=ARM_CLIENT_SECRET]$ARM_CLIENT_SECRET"
      echo "##vso[task.setvariable variable=ARM_SUBSCRIPTION_ID]$ARM_SUBSCRIPTION_ID"
      echo "##vso[task.setvariable variable=ARM_TENANT_ID]$ARM_TENANT_ID"
  • AzureCLI@2: Uses the Azure CLI task to authenticate and set environment variables for the service principal.
Step 2: Set Up Python
- task: UsePythonVersion@0
  inputs:
    versionSpec: '3.x'
    addToPath: true
  • UsePythonVersion@0: Ensures the pipeline uses Python 3.x.
Step 3: Install Dependencies
- script: |
    pip install -r requirements.txt
  displayName: 'Install dependencies'
  • script: Installs Python dependencies (if any).
Step 4: Terraform Init
- script: |
    terraform init
  displayName: 'Terraform Init'
  • script: Initializes Terraform configuration.
Step 5: Terraform Plan
- script: |
    terraform plan
  displayName: 'Terraform Plan'
  • script: Generates and displays the Terraform execution plan.
Step 6: Terraform Apply
- script: |
    terraform apply -auto-approve
  displayName: 'Terraform Apply'
  • script: Applies the Terraform configuration.

Summary

By following these steps, you can set up an Azure Pipeline to automate the deployment of your infrastructure using Terraform. This integration ensures that your infrastructure changes are applied consistently and automatically, leveraging the power of CI/CD pipelines to manage your cloud resources effectively.

Create a CI/CD pipeline to validate Terraform configurations by using AWS CodePipeline

https://docs.aws.amazon.com/prescriptive-guidance/latest/patterns/create-a-ci-cd-pipeline-to-validate-terraform-configurations-by-using-aws-codepipeline.html
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