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

Capistrano vs Deployer

OverviewComparisonAlternatives

Overview

Capistrano
Capistrano
Stacks1.5K
Followers647
Votes232
GitHub Stars12.9K
Forks1.8K
Deployer
Deployer
Stacks49
Followers74
Votes21
GitHub Stars10.9K
Forks1.5K

Capistrano vs Deployer: What are the differences?

Introduction Capistrano and Deployer are both popular deployment tools used in web development. While they serve a similar purpose, there are key differences between the two.

  1. Methodology and Focus: Capistrano follows a task-based deployment methodology and is designed primarily for Ruby applications. It uses Ruby DSL to define deployment tasks and dependencies. On the other hand, Deployer follows a recipe-based approach and is language-agnostic, making it suitable for a wider range of applications. It uses a simple recipe file written in PHP to define deployment tasks.

  2. Platform Compatibility: Capistrano is primarily designed for Unix-based systems, although it can also run on Windows with some additional setup. Deployer, on the other hand, can be used on any operating system as long as PHP is installed. This platform compatibility makes Deployer a more versatile choice for multi-platform development environments.

  3. Concurrency and Parallelism: Capistrano is known for its ability to execute tasks concurrently, allowing for faster deployments by leveraging multiple servers. Deployer, on the other hand, focuses on a single server at a time and doesn't natively support parallel execution of tasks. However, Deployer provides plugins and configurations that enable parallelism if required.

  4. Extensibility and Community: Capistrano has a larger community and a wider range of available plugins and extensions. It has been around for a longer time and has a robust ecosystem supported by its active user base. Deployer, although newer, has a growing community and offers many essential built-in tasks for common deployment scenarios. However, it may have a smaller selection of specialized plugins compared to Capistrano.

  5. Configuration and Ease of Use: Capistrano's configuration can be more complex and requires a steeper learning curve due to its DSL-based approach. In comparison, Deployer uses a simple and intuitive configuration file, making it easier to set up and use for both beginners and experienced developers.

  6. Documentation and Learning Resources: Capistrano has extensive documentation, tutorials, and learning resources due to its popularity and maturity. It is well-documented with examples and has a larger user community, making it easier to find help and troubleshoot issues. Deployer, although actively maintained, may have comparatively fewer learning resources available.

In summary, Capistrano and Deployer differ in their methodology, platform compatibility, concurrency, extensibility, ease of use, and available resources. Capistrano is task-based and primarily for Ruby applications, while Deployer is recipe-based and language-agnostic. Deployer is more platform-compatible and offers simpler configuration, while Capistrano has a larger community and more extensive documentation.

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Detailed Comparison

Capistrano
Capistrano
Deployer
Deployer

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.

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

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
Simple setup process and a minimal learning curve;Ready to use recipes for most frameworks;Parallel execution without extensions;Something went wrong? Rollback to the previous release;Agentless, it's just SSH;Zero downtime deployments;
Statistics
GitHub Stars
12.9K
GitHub Stars
10.9K
GitHub Forks
1.8K
GitHub Forks
1.5K
Stacks
1.5K
Stacks
49
Followers
647
Followers
74
Votes
232
Votes
21
Pros & Cons
Pros
  • 121
    Automated deployment with several custom recipes
  • 63
    Simple
  • 23
    Ruby
  • 11
    Release-folders with symlinks
  • 9
    Multistage deployment
Pros
  • 8
    Simply to use
  • 7
    Easy to customize
  • 6
    Easy setup
Integrations
No integrations available
Zend Framework
Zend Framework
Yii
Yii
New Relic
New Relic
Drupal
Drupal
WordPress
WordPress
Magento
Magento
Slack
Slack
CodeIgniter
CodeIgniter
Symfony
Symfony
Laravel
Laravel

What are some alternatives to Capistrano, Deployer?

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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