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

AWS CloudFormation vs AWS CodePipeline

OverviewDecisionsComparisonAlternatives

Overview

AWS CloudFormation
AWS CloudFormation
Stacks1.6K
Followers1.3K
Votes88
AWS CodePipeline
AWS CodePipeline
Stacks551
Followers933
Votes30

AWS CloudFormation vs AWS CodePipeline: What are the differences?

Introduction:

AWS CloudFormation and AWS CodePipeline are two popular services provided by Amazon Web Services (AWS) for managing and automating the deployment of applications and infrastructure. While they both offer similar functionalities, there are key differences between these two services.

  1. Deployment vs. Continuous Delivery: AWS CloudFormation is primarily focused on infrastructure as code and automating the deployment and management of AWS resources and applications. It allows users to define templates that describe the desired state of their infrastructure and manages the provisioning and configuration of these resources. On the other hand, AWS CodePipeline is more focused on continuous delivery and automating the software release process. It provides a workflow for building, testing, and deploying applications and enables the automation of release pipelines.

  2. Granularity of Control: In AWS CloudFormation, users have fine-grained control over the resources and configurations being deployed through the use of templates. This allows for more customization and flexibility in defining the infrastructure. In contrast, AWS CodePipeline provides a higher-level abstraction focused on the entire software release process. It offers pre-built stages for source code management, build, test, and deployment, making it easier to set up and manage continuous delivery workflows.

  3. Supported Integrations: AWS CloudFormation integrates well with a wide range of AWS services, allowing users to provision and manage resources across various AWS accounts and regions. It provides support for AWS CloudTrail, AWS Identity and Access Management (IAM), and AWS CloudWatch for monitoring and logging. AWS CodePipeline also integrates with several AWS services like AWS CodeBuild, AWS CodeDeploy, and AWS CodeCommit to enable the automation of different stages in the release process.

  4. Automation vs. Orchestration: The primary function of AWS CloudFormation is to automate the deployment of infrastructure resources by provisioning and configuring them based on the defined templates. It focuses on creating the infrastructure in a repeatable and reliable manner. In contrast, AWS CodePipeline focuses on orchestrating the entire software release process, including code changes, build, testing, and deployment. It provides a workflow engine that connects the different stages and actions in the release pipeline.

  5. Resource vs. Process-level: AWS CloudFormation operates at the resource level, allowing users to define and manage individual AWS resources like EC2 instances, RDS databases, and S3 buckets. It provides capabilities for resource orchestration and management. On the other hand, AWS CodePipeline operates at the process level, focusing on the automation of the entire release process. It allows users to define stages and actions to be executed in a sequence, enabling the automation of build, test, and deployment processes.

  6. Deployment vs. Continuous Integration: AWS CloudFormation is more suitable for infrastructure provisioning and the management of resources through infrastructure-as-code practices. It allows for repeatable and consistent deployments of infrastructure resources. AWS CodePipeline, on the other hand, is more suitable for continuous integration and delivery of software applications. It provides a workflow for building, testing, and deploying applications and allows for the automation of release pipelines.

In Summary, AWS CloudFormation focuses on infrastructure automation and resource provisioning, while AWS CodePipeline focuses on continuous delivery and automating the software release process, providing a higher-level abstraction and workflow engine for managing the different stages of a release pipeline.

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Advice on AWS CloudFormation, AWS CodePipeline

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 CodePipeline
AWS CodePipeline

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.

CodePipeline builds, tests, and deploys your code every time there is a code change, based on the release process models you define.

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.
Workflow Modeling;AWS Integrations;Pre-Built Plugins;Custom Plugins;Declarative Templates;Access Control
Statistics
Stacks
1.6K
Stacks
551
Followers
1.3K
Followers
933
Votes
88
Votes
30
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
Pros
  • 13
    Simple to set up
  • 8
    Managed service
  • 4
    GitHub integration
  • 3
    Parallel Execution
  • 2
    Automatic deployment
Cons
  • 2
    No project boards
  • 1
    No integration with "Power" 365 tools
Integrations
No integrations available
Runscope
Runscope
Amazon S3
Amazon S3
GitHub
GitHub
Jenkins
Jenkins
CloudBees
CloudBees
BlazeMeter
BlazeMeter
Ghost Inspector
Ghost Inspector
AWS Elastic Beanstalk
AWS Elastic Beanstalk
Amazon EC2
Amazon EC2

What are some alternatives to AWS CloudFormation, AWS CodePipeline?

Buddy

Buddy

Git platform for web and software developers with Docker-based tools for Continuous Integration and Deployment.

Cloud 66

Cloud 66

Cloud 66 gives you everything you need to build, deploy and maintain your applications on any cloud, without the headache of dealing with "server stuff". Frameworks: Ruby on Rails, Node.js, Jamstack, Laravel, GoLang, and more.

DeployBot

DeployBot

DeployBot makes it simple to deploy your work anywhere. You can compile or process your code in a Docker container on our infrastructure, and we'll copy it to your servers once everything has been successfully built.

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.

Deployer

Deployer

A deployment tool written in PHP with support for popular frameworks out of the box

Spinnaker

Spinnaker

Created at Netflix, it has been battle-tested in production by hundreds of teams over millions of deployments. It combines a powerful and flexible pipeline management system with integrations to the major cloud providers.

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.

Harness.io

Harness.io

It automates the entire CI/CD process, uses machine learning to protect you when deployments fail, equips you with enterprise-grade security, & simplifies cloud cost visibility, savings, & forecasting without any tagging requirements.

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