Azure Resource Manager vs Terraform

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Azure Resource Manager

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Terraform

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Azure Resource Manager vs Terraform: What are the differences?

Introduction

In this article, we will discuss the key differences between Azure Resource Manager (ARM) and Terraform. Both ARM and Terraform are widely used Infrastructure as Code (IaC) tools that enable the provisioning and management of cloud resources. However, there are several distinct differences between the two.

  1. Management Framework: Azure Resource Manager is a native management framework provided by Microsoft Azure for deploying resources and managing infrastructure. It is tightly integrated with Azure services and provides a unified API and control plane for resource provisioning and orchestration. On the other hand, Terraform is a multi-cloud infrastructure provisioning tool that is independent of any specific cloud provider. It uses a declarative language to define infrastructure configurations and can deploy resources across different cloud platforms, including Azure.

  2. Declarative vs. Imperative: Azure Resource Manager uses a declarative approach, where you define the desired state of the infrastructure and let the platform handle the implementation details. You specify the desired configuration in ARM templates, which are JSON files describing the resources and their properties. Terraform, on the other hand, takes an imperative approach. You define the sequence of steps required to reach the desired state, and Terraform handles the execution. It uses a declarative language called HashiCorp Configuration Language (HCL) to define infrastructure configurations.

  3. Community and Ecosystem: Azure Resource Manager has a rich ecosystem and a vast collection of pre-built templates and artifacts available in the Azure Marketplace. It also integrates well with other Azure services and tools. Terraform, on the other hand, has an active and growing community with contributions from various cloud providers and users. It has a wide range of community-maintained providers and modules that extend its capabilities beyond just Azure, enabling users to provision and manage resources across different cloud platforms.

  4. Versioning and State Management: Azure Resource Manager provides built-in version control for templates, allowing you to track and manage changes over time. It also integrates with Azure DevOps for continuous integration and delivery (CI/CD) pipelines. Terraform, on the other hand, uses its own state management system to keep track of the deployed resources and their dependencies. This state is stored locally by default, but it can also be stored remotely in a backend system, enabling collaboration and sharing of the infrastructure state across a team.

  5. Resource Granularity and Customization: Azure Resource Manager allows you to manage resources at a high level of abstraction, such as virtual networks, storage accounts, or virtual machines. It provides a wide range of built-in resource types and properties that can be customized using ARM templates. Terraform, on the other hand, provides more granular control over resources. It supports a broad spectrum of resource types and allows you to define and manage resources with fine-grained configuration options.

  6. Vendor Lock-In and Multi-Cloud Support: While Azure Resource Manager is tightly integrated with Azure and provides a seamless experience for managing Azure resources, it may introduce vendor lock-in if you want to switch to a different cloud provider. Terraform, being a multi-cloud tool, offers greater flexibility and portability. It allows you to provision and manage resources across different cloud providers, reducing the risk of vendor lock-in and enabling multi-cloud and hybrid cloud deployments.

In summary, Azure Resource Manager is a native management framework tightly integrated with Azure, providing a unified API for managing Azure resources using declarative ARM templates. Terraform, on the other hand, is an infrastructure provisioning tool that is cloud-agnostic and supports multiple cloud providers using a declarative language called HCL. Terraform offers more granular control, a vibrant community, and multi-cloud support, making it a popular choice for managing infrastructure-as-code across various cloud platforms.

Decisions about Azure Resource Manager and Terraform

Because Pulumi uses real programming languages, you can actually write abstractions for your infrastructure code, which is incredibly empowering. You still 'describe' your desired state, but by having a programming language at your fingers, you can factor out patterns, and package it up for easier consumption.

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Sergey Ivanov
Overview

We use Terraform to manage AWS cloud environment for the project. It is pretty complex, largely static, security-focused, and constantly evolving.

Terraform provides descriptive (declarative) way of defining the target configuration, where it can work out the dependencies between configuration elements and apply differences without re-provisioning the entire cloud stack.

Advantages

Terraform is vendor-neutral in a way that it is using a common configuration language (HCL) with plugins (providers) for multiple cloud and service providers.

Terraform keeps track of the previous state of the deployment and applies incremental changes, resulting in faster deployment times.

Terraform allows us to share reusable modules between projects. We have built an impressive library of modules internally, which makes it very easy to assemble a new project from pre-fabricated building blocks.

Disadvantages

Software is imperfect, and Terraform is no exception. Occasionally we hit annoying bugs that we have to work around. The interaction with any underlying APIs is encapsulated inside 3rd party Terraform providers, and any bug fixes or new features require a provider release. Some providers have very poor coverage of the underlying APIs.

Terraform is not great for managing highly dynamic parts of cloud environments. That part is better delegated to other tools or scripts.

Terraform state may go out of sync with the target environment or with the source configuration, which often results in painful reconciliation.

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I personally am not a huge fan of vendor lock in for multiple reasons:

  • I've seen cost saving moves to the cloud end up costing a fortune and trapping companies due to over utilization of cloud specific features.
  • I've seen S3 failures nearly take down half the internet.
  • I've seen companies get stuck in the cloud because they aren't built cloud agnostic.

I choose to use terraform for my cloud provisioning for these reasons:

  • It's cloud agnostic so I can use it no matter where I am.
  • It isn't difficult to use and uses a relatively easy to read language.
  • It tests infrastructure before running it, and enables me to see and keep changes up to date.
  • It runs from the same CLI I do most of my CM work from.
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Context: I wanted to create an end to end IoT data pipeline simulation in Google Cloud IoT Core and other GCP services. I never touched Terraform meaningfully until working on this project, and it's one of the best explorations in my development career. The documentation and syntax is incredibly human-readable and friendly. I'm used to building infrastructure through the google apis via Python , but I'm so glad past Sung did not make that decision. I was tempted to use Google Cloud Deployment Manager, but the templates were a bit convoluted by first impression. I'm glad past Sung did not make this decision either.

Solution: Leveraging Google Cloud Build Google Cloud Run Google Cloud Bigtable Google BigQuery Google Cloud Storage Google Compute Engine along with some other fun tools, I can deploy over 40 GCP resources using Terraform!

Check Out My Architecture: CLICK ME

Check out the GitHub repo attached

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Pros of Azure Resource Manager
Pros of Terraform
  • 4
    Bicep - Simple Declarative Language
  • 2
    RBAC and Policies in templates
  • 1
    Deep integration with Azure services like Azure Policy
  • 1
    Day 1 resource support
  • 1
    Versioned deployment via Blueprints
  • 1
    Over 1K samples the QuickStart repo
  • 1
    Infrastructure-as-Code
  • 121
    Infrastructure as code
  • 73
    Declarative syntax
  • 45
    Planning
  • 28
    Simple
  • 24
    Parallelism
  • 8
    Well-documented
  • 8
    Cloud agnostic
  • 6
    It's like coding your infrastructure in simple English
  • 6
    Immutable infrastructure
  • 5
    Platform agnostic
  • 4
    Extendable
  • 4
    Automation
  • 4
    Automates infrastructure deployments
  • 4
    Portability
  • 2
    Lightweight
  • 2
    Scales to hundreds of hosts

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Cons of Azure Resource Manager
Cons of Terraform
    Be the first to leave a con
    • 1
      Doesn't have full support to GKE

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    What is Azure Resource Manager?

    It is the deployment and management service for Azure. It provides a management layer that enables you to create, update, and delete resources in your Azure subscription. You use management features, like access control, locks, and tags, to secure and organize your resources after deployment.

    What is Terraform?

    With Terraform, you describe your complete infrastructure as code, even as it spans multiple service providers. Your servers may come from AWS, your DNS may come from CloudFlare, and your database may come from Heroku. Terraform will build all these resources across all these providers in parallel.

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    What companies use Azure Resource Manager?
    What companies use Terraform?
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    What tools integrate with Azure Resource Manager?
    What tools integrate with Terraform?

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    What are some alternatives to Azure Resource Manager and Terraform?
    AWS CloudFormation
    You can use AWS CloudFormation’s sample templates or create your own templates to describe the AWS resources, and any associated dependencies or runtime parameters, required to run your application. You don’t need to figure out the order in which AWS services need to be provisioned or the subtleties of how to make those dependencies work.
    PowerShell
    A command-line shell and scripting language built on .NET. Helps system administrators and power-users rapidly automate tasks that manage operating systems (Linux, macOS, and Windows) and processes.
    Chef
    Chef enables you to manage and scale cloud infrastructure with no downtime or interruptions. Freely move applications and configurations from one cloud to another. Chef is integrated with all major cloud providers including Amazon EC2, VMWare, IBM Smartcloud, Rackspace, OpenStack, Windows Azure, HP Cloud, Google Compute Engine, Joyent Cloud and others.
    Kubernetes
    Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.
    Git
    Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
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