Azure Bicep vs ARM Templates vs Terraform: Comparison

Introduction

Infrastructure as Code (IaC) has become an integral part of modern cloud computing, enabling developers and operations teams to define, manage, and version infrastructure in a declarative manner. In the Microsoft Azure ecosystem, two primary tools for IaC are Azure Bicep and Azure Resource Manager (ARM) Templates, while Terraform is a popular cross-cloud IaC tool. In this article, we’ll compare these three options in terms of their features, syntax, and use cases.

Azure Bicep

Overview:

Azure Bicep is a domain-specific language (DSL) for deploying Azure resources. It is designed to simplify and streamline the creation of ARM templates.

Pros:

  1. Simplified Syntax: Bicep uses a cleaner and more concise syntax compared to ARM templates, making it easier to read and write.
  2. Modularity: Bicep allows the use of modules, making it easier to organize and reuse code.
  3. Easy Migration: Existing ARM templates can be easily converted to Bicep, facilitating a smooth transition.

Cons:

  1. Learning Curve: Despite being simpler than ARM templates, there is still a learning curve for those unfamiliar with Bicep.
  2. Limited Ecosystem: Bicep is specific to Azure, which might be a limitation for organizations with a multi-cloud strategy.

Example:

param location string = 'East US'

resource storageAccount 'Microsoft.Storage/storageAccounts@2019-06-01' = {
  name: 'mystorageaccount'
  location: location
  sku: {
    name: 'Standard_LRS'
  }
  kind: 'StorageV2'
}

ARM Templates

Overview:

ARM Templates are JSON files that define the resources to be deployed in Azure. They are the traditional way of implementing IaC in the Azure ecosystem.

Pros:

  1. Declarative Syntax: Being JSON-based, ARM templates provide a declarative syntax for resource definition.
  2. Broad Adoption: ARM templates have been in use for a long time and are well-supported in the Azure ecosystem.
  3. Extensive Documentation: There is a wealth of documentation and community resources available for ARM templates.

Cons:

  1. Verbose Syntax: ARM templates can be verbose and complex, leading to increased development and maintenance efforts.
  2. Limited Modularity: While linked templates can be used for modularity, it may not be as straightforward as with Bicep.

Example:

{
  "$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#",
  "contentVersion": "1.0.0.0",
  "resources": [
    {
      "type": "Microsoft.Storage/storageAccounts",
      "apiVersion": "2019-06-01",
      "name": "mystorageaccount",
      "location": "East US",
      "sku": {
        "name": "Standard_LRS"
      },
      "kind": "StorageV2"
    }
  ]
}

Terraform

Overview:

Terraform is an open-source IaC tool that supports multiple cloud providers, including Azure. It uses HashiCorp Configuration Language (HCL) for defining infrastructure.

Pros:

  1. Multi-Cloud Support: Terraform is not limited to Azure and can be used for managing infrastructure across various cloud providers.
  2. Large Community: Terraform has a large and active community, providing extensive support and a wide range of modules.
  3. Immutable Infrastructure: Terraform promotes the concept of immutable infrastructure, allowing for easier versioning and rollbacks.

Cons:

  1. Learning Curve: Terraform has its own syntax and concepts, leading to a learning curve for new users.
  2. Slower Adoption of New Azure Features: Terraform may lag behind in supporting the latest Azure features compared to Azure-native tools.

Example:

provider "azurerm" {
  features = {}
}

resource "azurerm_storage_account" "mystorageaccount" {
  name                     = "mystorageaccount"
  resource_group_name      = "myresourcegroup"
  location                 = "East US"
  account_tier             = "Standard"
  account_replication_type = "LRS"
}

Conclusion

Choosing between Azure Bicep, ARM Templates, and Terraform depends on factors such as the team’s familiarity, project requirements, and multi-cloud considerations. Each tool has its strengths and weaknesses, and the decision should be based on the specific needs of the organization.

Remember, the best tool is the one that aligns with your team’s skills and project goals.