AWS OpsWorks vs Capistrano: What are the differences?
AWS OpsWorks: Model and manage your entire application from load balancers to databases using Chef. 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 ; 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 OpsWorks and Capistrano belong to "Server Configuration and Automation" category of the tech stack.
Some of the features offered by AWS OpsWorks are:
- AWS OpsWorks lets you model the different components of your application as layers in a stack, and maps your logical architecture to a physical architecture. You can see all resources associated with your application, and their status, in one place.
- AWS OpsWorks provides an event-driven configuration system with rich deployment tools that allow you to efficiently manage your applications over their lifetime, including support for customizable deployments, rollback, partial deployments, patch management, automatic instance scaling, and auto healing.
- AWS OpsWorks lets you define template configurations for your entire environment in a format that you can maintain and version just like your application source code.
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
"Devops" is the top reason why over 27 developers like AWS OpsWorks, while over 122 developers mention "Automated deployment with several custom recipes" as the leading cause for choosing Capistrano.
Capistrano is an open source tool with 11.1K GitHub stars and 1.71K 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 293 company stacks & 81 developers stacks; compared to AWS OpsWorks, which is listed in 73 company stacks and 19 developer stacks.
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Shipit, our deployment tool, is at the heart of Continuous Delivery at Shopify. Shipit is an orchestrator that runs and tracks progress of any deploy script that you provide for a project. It supports deploying to Rubygems, Pip, Heroku and Capistrano out of the box. For us, it's mostly kubernetes-deploy or Capistrano for legacy projects.
We use a slightly tweaked GitHub flow, with feature development going in branches and the master branch being the source of truth for the state of things in production. When your PR is ready, you add it to the Merge Queue in ShipIt. The idea behind the Merge Queue is to control the rate of code that is being merged to master branch. In the busy hours, we have many developers who want to merge the PRs, but at the same time we don't want to introduce too many changes to the system at the same time. Merge Queue limits deploys to 5-10 commits at a time, which makes it easier to identify issues and roll back in case we notice any unexpected behaviour after the deploy.
We use a browser extension to make Merge Queue play nicely with the Merge button on GitHub:
Both Shipit and kubernetes-deploy are open source, and we've heard quite a few success stories from companies who have adopted our flow.
#BuildTestDeploy #ContainerTools #ApplicationHosting #PlatformAsAService
For deploying to a VPS like DigitalOcean. This pairs nicely with https://github.com/cyrusstoller/gardenbed.
Deployment automation all of the websites and apps are deployed to linux via capistrano.