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

Capistrano vs Mina

OverviewComparisonAlternatives

Overview

Capistrano
Capistrano
Stacks1.5K
Followers647
Votes232
GitHub Stars12.9K
Forks1.8K
Mina
Mina
Stacks76
Followers72
Votes9
GitHub Stars4.4K
Forks488

Capistrano vs Mina: What are the differences?

Introduction

Capistrano and Mina are both deployment tools used in web development. While they serve the same purpose, there are key differences between the two.

  1. Configuration: Capistrano relies heavily on configuration files, where developers need to define every aspect of the deployment manually. On the other hand, Mina adopts a more flexible and minimalistic approach with its configuration being written in Ruby code. This allows for easier customization and reduces the need for extensive configuration files.

  2. Deployment Speed: Mina is known for its faster deployment speed as compared to Capistrano. Mina achieves this by utilizing a parallel deployment strategy, allowing multiple tasks to run concurrently. In contrast, Capistrano follows a sequential deployment approach, where tasks are executed one after another. This difference in deployment strategy gives Mina an advantage in terms of speed.

  3. Execution Environment: Capistrano executes tasks directly on the remote server, requiring the server to have all the necessary dependencies installed. On the other hand, Mina performs tasks locally and merely triggers SSH commands remotely, thereby reducing the server-side dependencies. This difference allows Mina to have a lighter footprint on the target server.

  4. Flexibility: Mina provides a more flexible deployment process as compared to Capistrano. Mina allows developers to define their own tasks and incorporate them into the deployment process seamlessly. Capistrano, while also offering some level of flexibility through its built-in tasks, may require more effort to customize the deployment flow according to specific requirements.

  5. Ease of Use: Mina aims to provide a simpler and more straightforward deployment experience. With its Ruby-based configuration and concise documentation, Mina has a lower learning curve compared to Capistrano. Capistrano, on the other hand, has a steeper learning curve due to its extensive configuration options and reliance on SSH keys.

  6. Community and Support: Capistrano enjoys a larger and more active community compared to Mina. This translates into a wider range of resources, plugins, and community-driven solutions available for Capistrano. While Mina also has an active community, the overall community size may impact the availability of resources and support.

In summary, Capistrano and Mina have distinct differences in terms of their configuration approach, deployment speed, execution environment, flexibility, ease of use, and community support. The choice between the two ultimately depends on the specific requirements, preferences, and familiarity of the development team.

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CLI (Node.js)
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Detailed Comparison

Capistrano
Capistrano
Mina
Mina

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.

Mina works really fast because it's a deploy Bash script generator. It generates an entire procedure as a Bash script and runs it remotely in the server. Compare this to the likes of Vlad or Capistrano, where each command is run separately on their own SSH sessions. Mina only creates one SSH session per deploy, minimizing the SSH connection overhead.

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
Safe deploys. New releases are built on a temp folder. If the deploy script fails at any point, the build is deleted and it’d be as if nothing happened.;Locks. Deploy scripts rely on a lockfile ensuring only one deploy can happen at a time.;Works with anything. While Mina is built with Rails projects it mind, it can be used on just about any type of project deployable via SSH, Ruby or not.;Built with Rake. Setting up tasks will be very familiar! No YAML files here. Everything is written in Ruby, giving you the power to be as flexible in your configuration as needed.
Statistics
GitHub Stars
12.9K
GitHub Stars
4.4K
GitHub Forks
1.8K
GitHub Forks
488
Stacks
1.5K
Stacks
76
Followers
647
Followers
72
Votes
232
Votes
9
Pros & Cons
Pros
  • 121
    Automated deployment with several custom recipes
  • 63
    Simple
  • 23
    Ruby
  • 11
    Release-folders with symlinks
  • 9
    Multistage deployment
Pros
  • 6
    Easy, fast and light weight
  • 2
    Reusable task
  • 1
    Ruby

What are some alternatives to Capistrano, Mina?

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.

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.

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.

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

cPanel

cPanel

It is an industry leading hosting platform with world-class support. It is globally empowering hosting providers through fully-automated point-and-click hosting platform by hosting-centric professionals

Webmin

Webmin

It is a web-based interface for system administration for Unix. Using any modern web browser, you can setup user accounts, Apache, DNS, file sharing and much more. It removes the need to manually edit Unix configuration files.

Puppet Bolt

Puppet Bolt

It is an open source orchestration tool that automates the manual work it takes to maintain your infrastructure. Use it to automate tasks that you perform on an as-needed basis or as part of a greater orchestration workflow.

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