Terraform with Azure

Welcome to Terraform with Azure learning series. This repository will guide you step by step, helping you understand Terraform concepts while using the Azure provider. I will upload code samples to this repository, and contributions are welcome! Feel free to fork and create pull requests. Let's learn together!

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Day 01: Introduction to Terraform Components & Installation

• Core Components of Terraform:

  • Providers: Plugins to interact with various cloud platforms.
  • Resources: Infrastructure objects like VMs, VNETs, etc.
  • Data Sources: Information about existing resources.
  • Variables & Parameters: Input values for configuration.
  • Functions, Modules, Local Variables: Advanced features for modular and reusable code.
  • Statefile: Tracks the current state of infrastructure.

• Task: Install Terraform on your system.

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Day 02: HashiCorp Language & Azure Provider Authentication

• Understanding the Files:

  • main.tf, variable.tf, terraform.tfvars, terraform.tfstate

• Azure Roles:

  • Owner, Contributor, Reader

• Authentication Methods with Azure:

  • Azure CLI (az login) - Best practice to avoid exposing credentials.
  • App Registration & Service Principal (Client ID, Client Secret, Tenant ID, Subscription ID).

• Task: Create an Azure Resource Group and Virtual Network using the code which is in day02.

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Day 03: Handling Terraform Data Sources & Imports

• Concepts:

  • Deploy new resources.
  • Handle conflicts when manual resources are created via the Azure portal.
  • Use terraform import to bring manually created resources into Terraform's state.

• Task: Create another subnet manually in Azure, then import it into your Terraform state.

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Day 04: Azure VM Deployment

• Resources to Create:

  1. Resource Group
  2. Virtual Network (VNET)
  3. Subnet
  4. Public IP
  5. Network Interface (NIC)
  6. Windows Virtual Machine (VM)

• Task: Create the above infrastructure using Terraform. Understand variable.tf and terraform.tfvars files for parameterized configurations.

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Day 05: Managing Multiple .tfvars Files

• Terraform Plan with Different Variables:

  • Use multiple .tfvars files to deploy unique VMs.

• Command:

  terraform plan -var-file="custom.tfvars"

• Task: Deploy resources with multiple .tfvars files.

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Day 06: Using Local Variables deploy ACR with default conf & AKS Deployment

• Task: Deploy an AKS cluster

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Day 07: Custom VNET for AKS

• AKS With it's own network: we will ensure it uses a custom VNET.

• Task: Modify your AKS configuration to use a custom subnet.

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Day 08: Using Terraform modules

• Task: Deploy identical environments using modules

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Day 09: Terraform Meta-Arguments

• Meta-Arguments:

  • depends_on: Set dependencies between resources.
  • count: Create multiple identical resources.
  • for_each: Create non-identical resources.
  • lifecycle: Customize resource management.

• Task: Deploy 3 resource groups using the count argument.

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Day 10: ForEach for Non-Identical Resources & Remote Backend

• ForEach for Non-Identical Resources:

  • Useful for deploying non-identical resources like VMs with different configurations.
  • Helps reduce code complexity by enabling parameterized resource deployment.

• Remote Backend with Azure Storage Account:

  • Configure remote backend with Azure Storage Account to store Terraform state files securely.
  • Enables shared state management for collaborative deployments, supporting backup, CI/CD, and robust infrastructure management.
  • Useful in multi-team environments to prevent conflicts in deployment and ensure consistency.

• Task:

  • Deploy multiple non-identical VMs using the for_each argument.
  • Configure a remote backend in Azure for shared state storage.

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Contributing

If you'd like to contribute:

1. Fork the repo.
2. Create your feature branch (git checkout -b feature/new-topic).
3. Commit your changes (git commit -am 'Added a new learning day').
4. Push to the branch (git push origin feature/new-topic).
5. Create a new Pull Request.

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Note: This repository is designed to assist professionals getting started with Azure and Terraform and also serves as a quick reference for experienced users. If you’re interested in contributing or have any questions, feel free to connect with me at [email protected]. Let's make Terraform learning easier together!