NashTech Insights

How to Extend Terraform Capabilities with Providers: A Step-by-Step Guide

Rahul Miglani
Rahul Miglani
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Introduction: Terraform, an open-source infrastructure-as-code (IaC) tool developed by HashiCorp, provides a powerful and flexible way to manage infrastructure resources. One of the key strengths of Terraform is its ability to work with multiple cloud providers and services through the use of providers. Providers act as plugins that enable Terraform to interact with various APIs and manage resources across different platforms. In this blog post, we will explore how to extend Terraform’s capabilities by leveraging providers, along with a step-by-step guide and an example Terraform code snippet.

Understanding Terraform Providers: Terraform providers are responsible for translating Terraform configurations into API calls for different cloud platforms or services. Providers act as intermediaries, allowing Terraform to interact with the resources offered by a particular provider. Terraform supports a wide range of providers, including major cloud like AWS, Azure, and Google Cloud, as well as other services such as Kubernetes, GitHub, and MySQL.

Extending Terraform Capabilities with Providers:

Provider Configuration: To begin using a provider, you need to configure it in your Terraform project. This involves specifying the required provider information, such as the provider name, version, and any necessary authentication credentials. For example, if you want to work with AWS, you would configure the AWS provider by providing your AWS access key and secret key.

Provider Block:

Next, you define a provider block in your Terraform configuration. The provider block identifies the provider to be used and any additional configuration options specific to that provider. Within the block, you specify the provider’s name and version, as well as any required settings or access information.

Resource Provisioning:

Once the provider is configured, you can start provisioning resources using the supported resource types provided by the provider. These resource types vary depending on the provider and represent the different services or infrastructure components available. You can create, modify, or delete these resources using Terraform.

Example: Provisioning an Azure Virtual Machine with the Azure Provider:

Let’s look at an example of how to extend Terraform’s capabilities using the Azure provider to provision a virtual machine (VM):

provider "azurerm" {
  features {}

resource "azurerm_resource_group" "example" {
  name     = "example-resource-group"
  location = "West US"

resource "azurerm_virtual_network" "example" {
  name                = "example-virtual-network"
  address_space       = [""]
  location            = azurerm_resource_group.example.location
  resource_group_name =

resource "azurerm_subnet" "example" {
  name                 = "example-subnet"
  resource_group_name  =
  virtual_network_name =
  address_prefixes     = [""]

resource "azurerm_network_interface" "example" {
  name                = "example-nic"
  location            = azurerm_resource_group.example.location
  resource_group_name =

  ip_configuration {
    name                          = "example-ipconfig"
    subnet_id                     =
    private_ip_address_allocation = "Dynamic"

resource "azurerm_virtual_machine" "example" {
  name                  = "example-vm"
  location              = azurerm_resource_group.example.location
  resource_group_name   =
  network_interface_ids = [azurerm_network
Rahul Miglani

Rahul Miglani

Rahul Miglani is Vice President at NashTech and Heads the DevOps Competency and also Heads the Cloud Engineering Practice. He is a DevOps evangelist with a keen focus to build deep relationships with senior technical individuals as well as pre-sales from customers all over the globe to enable them to be DevOps and cloud advocates and help them achieve their automation journey. He also acts as a technical liaison between customers, service engineering teams, and the DevOps community as a whole. Rahul works with customers with the goal of making them solid references on the Cloud container services platforms and also participates as a thought leader in the docker, Kubernetes, container, cloud, and DevOps community. His proficiency includes rich experience in highly optimized, highly available architectural decision-making with an inclination towards logging, monitoring, security, governance, and visualization.

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