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  1. Stackups
  2. DevOps
  3. Build Automation
  4. Infrastructure Build Tools
  5. AWS CloudFormation vs AWS CodeDeploy

AWS CloudFormation vs AWS CodeDeploy

OverviewDecisionsComparisonAlternatives

Overview

AWS CloudFormation
AWS CloudFormation
Stacks1.6K
Followers1.3K
Votes88
AWS CodeDeploy
AWS CodeDeploy
Stacks380
Followers624
Votes38

AWS CloudFormation vs AWS CodeDeploy: What are the differences?

Introduction

This Markdown code provides a comparison between AWS CloudFormation and AWS CodeDeploy, focusing on their key differences. Both services are part of the Amazon Web Services ecosystem and are used for different purposes in the deployment and management of applications and infrastructure.

  1. Deployment Process: AWS CloudFormation is a service that allows users to define their infrastructure and provisioning resources in a declarative manner using templates. It enables the consistent creation and management of resources, such as EC2 instances, S3 buckets, and RDS databases, through a JSON or YAML script. On the other hand, AWS CodeDeploy is a fully managed deployment service that automates the application deployment to Amazon EC2 instances or on-premises servers. It focuses on application-level deployments by providing advanced features like blue/green deployments and canary deployments.

  2. Scope: AWS CloudFormation operates at the infrastructure level and allows for the provisioning of various AWS resources and services. It supports the creation and configuration of networks, security groups, load balancers, and more. AWS CodeDeploy, on the other hand, focuses solely on application-level deployments. It helps in deploying code changes and coordinating the application deployment process across fleets of instances or servers.

  3. Rollback Mechanism: AWS CloudFormation provides a built-in rollback mechanism in case of errors or failures during the stack creation or update process. It can automatically roll back changes to the previous known working state. AWS CodeDeploy also offers a rollback mechanism but is primarily focused on application-level rollback. It allows the rollback of application revisions to a previous version or an earlier stage, providing a convenient way to revert problematic deployments.

  4. Integration with Development Tools: AWS CloudFormation plays a crucial role in infrastructure as code (IaC) practices and integrates well with various development tools. It can be used with integrated development environments (IDEs) like AWS Cloud9 or other popular code editors to manage infrastructure definitions. AWS CodeDeploy integrates more closely with software development tools like AWS CodeCommit, AWS CodePipeline, and third-party platforms such as Jenkins, enabling end-to-end automation of application deployments and continuous delivery workflows.

  5. Supported Environments: AWS CloudFormation is agnostic to the type of workload or application being deployed. It supports both infrastructure deployments and application deployments. AWS CodeDeploy, on the other hand, is specifically designed for application deployments. It provides support for a variety of application types, including web applications, microservices, and legacy monolithic applications.

  6. Deployment Target Types: AWS CloudFormation can deploy resources to various AWS accounts and regions, enabling multi-account and multi-region deployments. It helps in managing complex architectures. AWS CodeDeploy primarily targets EC2 instances and on-premises servers. It can deploy the application revisions across fleets of instances, allowing for easier scaling and management in complex deployments.

In summary, AWS CloudFormation focuses on infrastructure provisioning and management using declarative templates, while AWS CodeDeploy is primarily geared towards application deployments and provides advanced deployment features like blue/green deployments and canary deployments.

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Advice on AWS CloudFormation, AWS CodeDeploy

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 CodeDeploy
AWS CodeDeploy

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.

AWS CodeDeploy is a service that automates code deployments to Amazon EC2 instances. AWS CodeDeploy makes it easier for you to rapidly release new features, helps you avoid downtime during deployment, and handles the complexity of updating your applications.

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.
AWS CodeDeploy fully automates your code deployments, allowing you to deploy reliably and rapidly;AWS CodeDeploy helps maximize your application availability by performing rolling updates across your Amazon EC2 instances and tracking application health according to configurable rules;AWS CodeDeploy allows you to easily launch and track the status of your deployments through the AWS Management Console or the AWS CLI;AWS CodeDeploy is platform and language agnostic and works with any application. You can easily reuse your existing setup code
Statistics
Stacks
1.6K
Stacks
380
Followers
1.3K
Followers
624
Votes
88
Votes
38
Pros & Cons
Pros
  • 43
    Automates infrastructure deployments
  • 21
    Declarative infrastructure and deployment
  • 13
    No more clicking around
  • 3
    Atomic
  • 3
    Infrastructure as code
Cons
  • 4
    Brittle
  • 2
    No RBAC and policies in templates
Pros
  • 17
    Automates code deployments
  • 9
    Backed by Amazon
  • 7
    Adds autoscaling lifecycle hooks
  • 5
    Git integration
Integrations
No integrations available
CircleCI
CircleCI
Codeship
Codeship
GitHub
GitHub
Jenkins
Jenkins
Solano CI
Solano CI
Travis CI
Travis CI
Amazon EC2
Amazon EC2
Ansible
Ansible
Chef
Chef
Puppet Labs
Puppet Labs

What are some alternatives to AWS CloudFormation, AWS CodeDeploy?

Octopus Deploy

Octopus Deploy

Octopus Deploy helps teams to manage releases, automate deployments, and operate applications with automated runbooks. It's free for small teams.

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.

Distelli

Distelli

Build, test, and deploy your code from GitHub and BitBucket (or no repository at all) to any server in the world regardless of provider. Distelli customers iterate and ship faster with complete transparency.

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.

Launchdeck

Launchdeck

Deploy code from git to your server the fast and easy way. Launchdeck is our answer to the complicated process of deployment. It’s an automated deployment tool with a super-clear user interface and various smart features.

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.

Laravel Forge

Laravel Forge

Provision, host, and deploy PHP applications on AWS, DigitalOcean, and Linode.

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