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  1. Stackups
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  5. AWS CloudFormation vs Azure Resource Manager

AWS CloudFormation vs Azure Resource Manager

OverviewDecisionsComparisonAlternatives

Overview

AWS CloudFormation
AWS CloudFormation
Stacks1.6K
Followers1.3K
Votes88
Azure Resource Manager
Azure Resource Manager
Stacks40
Followers93
Votes11
GitHub Stars64
Forks47

AWS CloudFormation vs Azure Resource Manager: What are the differences?

This article will compare AWS CloudFormation and Azure Resource Manager, two popular cloud infrastructure automation services provided by Amazon Web Services (AWS) and Microsoft Azure respectively. Both services allow users to define and provision cloud resources using a declarative template, but they have some key differences.

  1. Cloud Provider: AWS CloudFormation is a service provided by Amazon Web Services, while Azure Resource Manager is a service provided by Microsoft Azure.
  2. Template Language: CloudFormation uses JSON or YAML templates to define infrastructure resources, while Azure Resource Manager uses JSON templates.
  3. Deployment Scope: CloudFormation operates at a regional level, meaning the templates can provision resources across multiple availability zones within a region. Azure Resource Manager operates at a resource group level, allowing users to deploy and manage resources within a resource group across regions.
  4. Integration and Ecosystem: CloudFormation has a wide range of integrations and a large ecosystem of third-party tools, making it a mature and widely adopted service. Azure Resource Manager also has a growing ecosystem and integrates well with other Microsoft Azure services.
  5. Stack Management: CloudFormation allows users to create and manage stacks, which represent a set of resources created from a template. Azure Resource Manager uses resource groups to organize and manage resources.
  6. Rollback and Update: CloudFormation provides rollback functionality to revert failed updates, allowing users to maintain the previous stack state. Azure Resource Manager also supports rollback, but the behavior may differ depending on the type of resource being updated.

In summary, AWS CloudFormation and Azure Resource Manager are similar in their goal of automating infrastructure provisioning, but they have differences in terms of cloud provider, template language, deployment scope, integration ecosystem, stack management, and rollback/update functionality.

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Advice on AWS CloudFormation, Azure Resource Manager

Timothy
Timothy

SRE

Mar 20, 2020

Decided

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.
385k views385k
Comments
Daniel
Daniel

May 4, 2020

Decided

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.

426k views426k
Comments
Sergey
Sergey

Contractor at Adaptive

Apr 17, 2020

Decided

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.

426k views426k
Comments

Detailed Comparison

AWS CloudFormation
AWS CloudFormation
Azure Resource Manager
Azure Resource Manager

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.

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.

AWS CloudFormation comes with the following ready-to-run sample templates: WordPress (blog),Tracks (project tracking), Gollum (wiki used by GitHub), Drupal (content management), Joomla (content management), Insoshi (social apps), Redmine (project mgmt);No Need to Reinvent the Wheel – A template can be used repeatedly to create identical copies of the same stack (or to use as a foundation to start a new stack);Transparent and Open – Templates are simple JSON formatted text files that can be placed under your normal source control mechanisms, stored in private or public locations such as Amazon S3 and exchanged via email.;Declarative and Flexible – To create the infrastructure you want, you enumerate what AWS resources, configuration values and interconnections you need in a template and then let AWS CloudFormation do the rest with a few simple clicks in the AWS Management Console, via the command line tools or by calling the APIs.
Deploy app resources; Organize resources; Control access to resources
Statistics
GitHub Stars
-
GitHub Stars
64
GitHub Forks
-
GitHub Forks
47
Stacks
1.6K
Stacks
40
Followers
1.3K
Followers
93
Votes
88
Votes
11
Pros & Cons
Pros
  • 43
    Automates infrastructure deployments
  • 21
    Declarative infrastructure and deployment
  • 13
    No more clicking around
  • 3
    Infrastructure as code
  • 3
    Any Operative System you want
Cons
  • 4
    Brittle
  • 2
    No RBAC and policies in templates
Pros
  • 4
    Bicep - Simple Declarative Language
  • 2
    RBAC and Policies in templates
  • 1
    Day 1 resource support
  • 1
    Over 1K samples the QuickStart repo
  • 1
    Versioned deployment via Blueprints
Integrations
No integrations available
Kubernetes
Kubernetes
Docker
Docker
Ruby
Ruby
Terraform
Terraform
rkt
rkt

What are some alternatives to AWS CloudFormation, Azure Resource Manager?

Packer

Packer

Packer automates the creation of any type of machine image. It embraces modern configuration management by encouraging you to use automated scripts to install and configure the software within your Packer-made images.

Scalr

Scalr

Scalr is a remote state & operations backend for Terraform with access controls, policy as code, and many quality of life features.

Pulumi

Pulumi

Pulumi is a cloud development platform that makes creating cloud programs easy and productive. Skip the YAML and just write code. Pulumi is multi-language, multi-cloud and fully extensible in both its engine and ecosystem of packages.

Habitat

Habitat

Habitat is a new approach to automation that focuses on the application instead of the infrastructure it runs on. With Habitat, the apps you build, deploy, and manage behave consistently in any runtime — metal, VMs, containers, and PaaS. You'll spend less time on the environment and more time building features.

Google Cloud Deployment Manager

Google Cloud Deployment Manager

Google Cloud Deployment Manager allows you to specify all the resources needed for your application in a declarative format using yaml.

AWS Cloud Development Kit

AWS Cloud Development Kit

It is an open source software development framework to model and provision your cloud application resources using familiar programming languages. It uses the familiarity and expressive power of programming languages for modeling your applications. It provides you with high-level components that preconfigure cloud resources with proven defaults, so you can build cloud applications without needing to be an expert.

Yocto

Yocto

It is an open source collaboration project that helps developers create custom Linux-based systems regardless of the hardware architecture. It provides a flexible set of tools and a space where embedded developers worldwide can share technologies, software stacks, configurations, and best practices that can be used to create tailored Linux images for embedded and IOT devices, or anywhere a customized Linux OS is needed.

GeoEngineer

GeoEngineer

GeoEngineer uses Terraform to plan and execute changes, so the DSL to describe resources is similar to Terraform's. GeoEngineer's DSL also provides programming and object oriented features like inheritance, abstraction, branching and looping.

Atlas

Atlas

Atlas is one foundation to manage and provide visibility to your servers, containers, VMs, configuration management, service discovery, and additional operations services.

Buildroot

Buildroot

It is a tool that simplifies and automates the process of building a complete Linux system for an embedded system, using cross-compilation.

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