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  1. Stackups
  2. DevOps
  3. Continuous Deployment
  4. Server Configuration And Automation
  5. AWS CodePipeline vs Capistrano

AWS CodePipeline vs Capistrano

OverviewComparisonAlternatives

Overview

Capistrano
Capistrano
Stacks1.5K
Followers647
Votes232
GitHub Stars12.9K
Forks1.8K
AWS CodePipeline
AWS CodePipeline
Stacks551
Followers933
Votes30

AWS CodePipeline vs Capistrano: What are the differences?

What is AWS CodePipeline? Continuous delivery service for fast and reliable application updates. CodePipeline builds, tests, and deploys your code every time there is a code change, based on the release process models you define.

What is Capistrano? A remote server automation and deployment tool written in Ruby. Capistrano is a remote server automation tool. It supports the scripting and execution of arbitrary tasks, and includes a set of sane-default deployment workflows.

AWS CodePipeline belongs to "Continuous Deployment" category of the tech stack, while Capistrano can be primarily classified under "Server Configuration and Automation".

Some of the features offered by AWS CodePipeline are:

  • Workflow Modeling
  • AWS Integrations
  • Pre-Built Plugins

On the other hand, Capistrano provides the following key features:

  • Reliably deploy web application to any number of machines simultaneously, in sequence or as a rolling set
  • Automate audits of any number of machines (checking login logs, enumerating uptimes, and/or applying security patches)
  • Script arbitrary workflows over SSH

"Simple to set up" is the primary reason why developers consider AWS CodePipeline over the competitors, whereas "Automated deployment with several custom recipes" was stated as the key factor in picking Capistrano.

Capistrano is an open source tool with 11.1K GitHub stars and 1.72K GitHub forks. Here's a link to Capistrano's open source repository on GitHub.

According to the StackShare community, Capistrano has a broader approval, being mentioned in 295 company stacks & 81 developers stacks; compared to AWS CodePipeline, which is listed in 30 company stacks and 15 developer stacks.

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Detailed Comparison

Capistrano
Capistrano
AWS CodePipeline
AWS CodePipeline

Capistrano is a remote server automation tool. It supports the scripting and execution of arbitrary tasks, and includes a set of sane-default deployment workflows.

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

Reliably deploy web application to any number of machines simultaneously, in sequence or as a rolling set;Automate audits of any number of machines (checking login logs, enumerating uptimes, and/or applying security patches);Script arbitrary workflows over SSH;Automate common tasks in software teams;Drive infrastructure provisioning tools such as chef-solo, Ansible or similar
Workflow Modeling;AWS Integrations;Pre-Built Plugins;Custom Plugins;Declarative Templates;Access Control
Statistics
GitHub Stars
12.9K
GitHub Stars
-
GitHub Forks
1.8K
GitHub Forks
-
Stacks
1.5K
Stacks
551
Followers
647
Followers
933
Votes
232
Votes
30
Pros & Cons
Pros
  • 121
    Automated deployment with several custom recipes
  • 63
    Simple
  • 23
    Ruby
  • 11
    Release-folders with symlinks
  • 9
    Multistage deployment
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 Capistrano, AWS CodePipeline?

Ansible

Ansible

Ansible is an IT automation tool. It can configure systems, deploy software, and orchestrate more advanced IT tasks such as continuous deployments or zero downtime rolling updates. Ansible’s goals are foremost those of simplicity and maximum ease of use.

Buddy

Buddy

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

Chef

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.

Terraform

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.

Puppet Labs

Puppet Labs

Puppet is an automated administrative engine for your Linux, Unix, and Windows systems and performs administrative tasks (such as adding users, installing packages, and updating server configurations) based on a centralized specification.

Salt

Salt

Salt is a new approach to infrastructure management. Easy enough to get running in minutes, scalable enough to manage tens of thousands of servers, and fast enough to communicate with them in seconds. Salt delivers a dynamic communication bus for infrastructures that can be used for orchestration, remote execution, configuration management and much more.

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.

Fabric

Fabric

Fabric is a Python (2.5-2.7) library and command-line tool for streamlining the use of SSH for application deployment or systems administration tasks. It provides a basic suite of operations for executing local or remote shell commands (normally or via sudo) and uploading/downloading files, as well as auxiliary functionality such as prompting the running user for input, or aborting execution.

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.

AWS OpsWorks

AWS OpsWorks

Start from templates for common technologies like Ruby, Node.JS, PHP, and Java, or build your own using Chef recipes to install software packages and perform any task that you can script. AWS OpsWorks can scale your application using automatic load-based or time-based scaling and maintain the health of your application by detecting failed instances and replacing them. You have full control of deployments and automation of each component

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