Capistrano vs Concourse

Overview

Capistrano

Stacks1.5K

Followers647

Votes232

GitHub Stars12.9K

Forks1.8K

Concourse

Stacks254

Followers393

Votes54

GitHub Stars7.6K

Forks870

Capistrano vs Concourse: What are the differences?

# Introduction

Key Differences between Capistrano and Concourse:

1. **Workflow Orchestration vs Deployment Automation**: Capistrano is primarily a deployment automation tool that enables developers to deploy code to various servers, while Concourse is a workflow orchestration tool focused on automation, monitoring, and arranging complex pipelines. Capistrano is more suitable for straightforward deployment tasks, whereas Concourse is designed for managing and visualizing intricate CI/CD pipelines.

2. **Dependent on Server Configuration vs Independent Task Execution**: Capistrano relies on the servers' configuration and SSH access to deploy code, making it dependent on the server environment. On the other hand, Concourse operates in isolated containers, leading to secure and consistent task execution without the need for unique server configurations. This makes Concourse more portable and straightforward to use in diverse environments.

3. **Programming Language Support**: Capistrano is written in Ruby and is best suited for Ruby on Rails applications, which may limit its integration potential with projects in other programming languages. In contrast, Concourse is a language-agnostic platform that can be easily integrated and utilized with projects developed in various programming languages, providing more flexibility and compatibility.

4. **User Interface and Visualization**: Concourse offers a user-friendly web interface that presents a visual representation of pipelines, making it easier for users to monitor and manage the workflow. Capistrano, on the other hand, lacks a graphical interface and is more command-line oriented, requiring a higher level of technical proficiency for navigation and operation.

5. **Community Support and Extensibility**: Concourse has a vibrant community that actively contributes to the tool's development, provides support, and creates various reusable resources and plugins. This strong community support enhances Concourse's extensibility and its ability to adapt to changing requirements. Capistrano, although widely used, may have a more limited number of available resources and plugins compared to Concourse.

6. **Scalability and Performance**: Concourse's architecture allows for better scalability and performance when handling large and complex pipelines with numerous tasks and resources. Capistrano, due to its focus on deployment automation, may face challenges in efficiently managing and scaling complex deployment processes, especially in environments where a high degree of automation is required.

In Summary, Capistrano and Concourse differ significantly in their focus on deployment automation versus workflow orchestration, server dependency versus container execution, language support, user interface, community support, and scalability and performance.

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Advice on Capistrano, Concourse

veera

Jan 27, 2020

Needs advice

I'm planning to setup complete CD-CD setup for spark and python application which we are going to deploy in aws lambda and EMR Cluster. Which tool would be best one to choose. Since my company is trying to adopt to concourse i would like to understand what are the lack of capabilities concourse have . Thanks in advance !

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Detailed Comparison

Capistrano	Concourse
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.	Concourse's principles reduce the risk of switching to and from Concourse, by encouraging practices that decouple your project from your CI's little details, and keeping all configuration in declarative files that can be checked into version control.
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	-
Statistics
GitHub Stars 12.9K	GitHub Stars 7.6K
GitHub Forks 1.8K	GitHub Forks 870
Stacks 1.5K	Stacks 254
Followers 647	Followers 393
Votes 232	Votes 54
Pros & Cons
Pros 121 Automated deployment with several custom recipes 63 Simple 23 Ruby 11 Release-folders with symlinks 9 Multistage deployment	Pros 16 Real pipelines 10 Containerised builds 9 Flexible engine 6 Fast 4 Open source Cons 2 Fail forward instead of rollback pattern

What are some alternatives to Capistrano, Concourse?

Jenkins

In a nutshell Jenkins CI is the leading open-source continuous integration server. Built with Java, it provides over 300 plugins to support building and testing virtually any project.

Travis CI

Free for open source projects, our CI environment provides multiple runtimes (e.g. Node.js or PHP versions), data stores and so on. Because of this, hosting your project on travis-ci.com means you can effortlessly test your library or applications against multiple runtimes and data stores without even having all of them installed locally.

Codeship

Codeship runs your automated tests and configured deployment when you push to your repository. It takes care of managing and scaling the infrastructure so that you are able to test and release more frequently and get faster feedback for building the product your users need.

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.

CircleCI

Continuous integration and delivery platform helps software teams rapidly release code with confidence by automating the build, test, and deploy process. Offers a modern software development platform that lets teams ramp.

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

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.

TeamCity

TeamCity is a user-friendly continuous integration (CI) server for professional developers, build engineers, and DevOps. It is trivial to setup and absolutely free for small teams and open source projects.

Drone.io

Drone is a hosted continuous integration service. It enables you to conveniently set up projects to automatically build, test, and deploy as you make changes to your code. Drone integrates seamlessly with Github, Bitbucket and Google Code as well as third party services such as Heroku, Dotcloud, Google AppEngine and more.

wercker

Wercker is a CI/CD developer automation platform designed for Microservices & Container Architecture.

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Capistrano vs Concourse: What are the differences?

# Introduction

Key Differences between Capistrano and Concourse:

1. **Workflow Orchestration vs Deployment Automation**: Capistrano is primarily a deployment automation tool that enables developers to deploy code to various servers, while Concourse is a workflow orchestration tool focused on automation, monitoring, and arranging complex pipelines. Capistrano is more suitable for straightforward deployment tasks, whereas Concourse is designed for managing and visualizing intricate CI/CD pipelines.

2. **Dependent on Server Configuration vs Independent Task Execution**: Capistrano relies on the servers' configuration and SSH access to deploy code, making it dependent on the server environment. On the other hand, Concourse operates in isolated containers, leading to secure and consistent task execution without the need for unique server configurations. This makes Concourse more portable and straightforward to use in diverse environments.

3. **Programming Language Support**: Capistrano is written in Ruby and is best suited for Ruby on Rails applications, which may limit its integration potential with projects in other programming languages. In contrast, Concourse is a language-agnostic platform that can be easily integrated and utilized with projects developed in various programming languages, providing more flexibility and compatibility.

4. **User Interface and Visualization**: Concourse offers a user-friendly web interface that presents a visual representation of pipelines, making it easier for users to monitor and manage the workflow. Capistrano, on the other hand, lacks a graphical interface and is more command-line oriented, requiring a higher level of technical proficiency for navigation and operation.

5. **Community Support and Extensibility**: Concourse has a vibrant community that actively contributes to the tool's development, provides support, and creates various reusable resources and plugins. This strong community support enhances Concourse's extensibility and its ability to adapt to changing requirements. Capistrano, although widely used, may have a more limited number of available resources and plugins compared to Concourse.

6. **Scalability and Performance**: Concourse's architecture allows for better scalability and performance when handling large and complex pipelines with numerous tasks and resources. Capistrano, due to its focus on deployment automation, may face challenges in efficiently managing and scaling complex deployment processes, especially in environments where a high degree of automation is required.

Capistrano vs Concourse

Overview