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  1. Stackups
  2. DevOps
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  4. Infrastructure Build Tools
  5. AWS CLI vs AWS CloudFormation

AWS CLI vs AWS CloudFormation

OverviewDecisionsComparisonAlternatives

Overview

AWS CloudFormation
AWS CloudFormation
Stacks1.6K
Followers1.3K
Votes88
AWS CLI
AWS CLI
Stacks145
Followers111
Votes0
GitHub Stars16.5K
Forks4.4K

AWS CLI vs AWS CloudFormation: What are the differences?

Introduction

In this article, we will discuss the key differences between AWS CLI (Command Line Interface) and AWS CloudFormation, two widely used services offered by Amazon Web Services (AWS).

  1. Deployment and Infrastructure Management: AWS CLI is a command-line tool that allows developers to interact with various AWS services by typing in commands. It enables users to perform tasks like managing Amazon S3 buckets, launching EC2 instances, and configuring security policies. On the other hand, AWS CloudFormation is a service that enables users to create and manage a collection of AWS resources using a template. It provides a declarative way to define infrastructure as code and automates the provisioning and updating of resources.

  2. Level of Abstraction: AWS CLI provides a low-level interface, allowing users to directly interact with individual AWS services and resources. It requires a detailed understanding of the underlying AWS service APIs and their parameters. In contrast, AWS CloudFormation offers a high-level abstraction that simplifies the provisioning and management of AWS resources. It allows users to define Infrastructure as Code (IaC) using a JSON or YAML template, abstracting away much of the complexity of the underlying infrastructure.

  3. Flexibility and Customization: AWS CLI provides full control and flexibility, allowing users to construct complex workflows by scripting multiple commands together. This level of control enables users to perform custom operations and automate intricate tasks. AWS CloudFormation, on the other hand, is designed to provide a standard and consistent way to manage infrastructure resources. While it supports limited customization using intrinsic functions and conditional statements, it promotes standardized infrastructure provisioning and management.

  4. Orchestration and Rollbacks: AWS CLI lacks built-in orchestration capabilities to manage the provisioning and configuring of multiple resources as a single unit. It requires manual coordination to ensure the correct order and dependencies are maintained. In contrast, AWS CloudFormation offers orchestration features that simplify the management and coordination of multiple resources. It supports automated provisioning, updating, and deletion of resources, and enables rollbacks in case of failures during stack updates.

  5. Discoverability and Documentation: AWS CLI makes it relatively easy to discover available services, commands, and their options using auto-completion and interactive documentation. It provides detailed help and examples for each command, making it an efficient tool for exploration and learning. On the other hand, AWS CloudFormation templates require familiarity with the AWS CloudFormation Resource Specification and the available resource types and properties. While CloudFormation has a rich set of documentation, it may have a steeper learning curve compared to AWS CLI.

  6. Portability and Stack Management: AWS CLI requires users to manually manage different versions of configuration files for each environment. It lacks built-in capabilities to manage and track changes to infrastructure over time. In contrast, AWS CloudFormation supports the creation of stack templates, enabling consistent and repeatable infrastructure deployments. It allows users to version and manage their infrastructure as code, making it portable and facilitating collaboration among team members.

In summary, AWS CLI provides a command-line interface for low-level interaction with individual AWS services, while AWS CloudFormation offers a higher-level abstraction for managing infrastructure as code. AWS CLI offers more flexibility and customization options, but CloudFormation simplifies infrastructure provisioning and offers built-in orchestration features. Both services have their strengths and are often used together to achieve specific automation and management requirements.

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Advice on AWS CloudFormation, AWS CLI

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
AWS CLI
AWS CLI

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 a unified tool to manage your AWS services. With just one tool to download and configure, you can control multiple AWS services from the command line and automate them through scripts.

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.
File Commands for Amazon S3; Control multiple AWS services ; URI-based Parameter Input
Statistics
GitHub Stars
-
GitHub Stars
16.5K
GitHub Forks
-
GitHub Forks
4.4K
Stacks
1.6K
Stacks
145
Followers
1.3K
Followers
111
Votes
88
Votes
0
Pros & Cons
Pros
  • 43
    Automates infrastructure deployments
  • 21
    Declarative infrastructure and deployment
  • 13
    No more clicking around
  • 3
    Any Operative System you want
  • 3
    Infrastructure as code
Cons
  • 4
    Brittle
  • 2
    No RBAC and policies in templates
No community feedback yet
Integrations
No integrations available
Linux
Linux
Windows
Windows
macOS
macOS
AWS Shell
AWS Shell

What are some alternatives to AWS CloudFormation, AWS CLI?

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.

LocalStack

LocalStack

LocalStack provides an easy-to-use test/mocking framework for developing Cloud applications.

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.

AWS Amplify

AWS Amplify

A JavaScript library for frontend and mobile developers building cloud-enabled applications. The library is a declarative interface across different categories of operations in order to make common tasks easier to add into your application. The default implementation works with Amazon Web Services (AWS) resources but is designed to be open and pluggable for usage with other cloud services that wish to provide an implementation or custom backends.

Azure Resource Manager

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.

awless

awless

awless is a fast, powerful and easy-to-use command line interface (CLI) to manage Amazon Web Services.

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.

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