Docker Compose vs RuboCop: What are the differences?
Docker Compose: Define and run multi-container applications with Docker. With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running; RuboCop: A Ruby static code analyzer, based on the community Ruby style guide. RuboCop is a Ruby static code analyzer. Out of the box it will enforce many of the guidelines outlined in the community Ruby Style Guide.
Docker Compose belongs to "Container Tools" category of the tech stack, while RuboCop can be primarily classified under "Code Review".
"Multi-container descriptor" is the primary reason why developers consider Docker Compose over the competitors, whereas "Open-source" was stated as the key factor in picking RuboCop.
Docker Compose and RuboCop are both open source tools. Docker Compose with 16.6K GitHub stars and 2.56K forks on GitHub appears to be more popular than RuboCop with 10.1K GitHub stars and 2.14K GitHub forks.
StackShare, Typeform, and CircleCI are some of the popular companies that use Docker Compose, whereas RuboCop is used by StackShare, WeLab Limited, and Keplar Agency. Docker Compose has a broader approval, being mentioned in 795 company stacks & 625 developers stacks; compared to RuboCop, which is listed in 44 company stacks and 25 developer stacks.
What is Docker Compose?
What is RuboCop?
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For many(if not all) small and medium size business time and cost matter a lot.
That's why languages, frameworks, tools, and services that are easy to use and provide 0 to productive in less time, it's best.
Maybe Node.js frameworks might provide better features compared to Rails but in terms of MVPs, for us Rails is the leading alternative.
Amazon EC2 might be cheaper and more customizable than Heroku but in the initial terms of a project, you need to complete configurationos and deploy early.
Advanced configurations can be done down the road, when the project is running and making money, not before.
Finally, comunication and keeping a good history of conversations, decisions, and discussions is important so we use a mix of Slack and Twist
The continuous integration process for our Rails backend app starts by opening a GitHub pull request. This triggers a CircleCI build and some Code Climate checks.
The CircleCI build is a workflow that runs the following jobs:
- check for security vulnerabilities with Brakeman
- check code quality with RuboCop
- run RSpec tests in parallel with the knapsack gem, and output test coverage reports with the simplecov gem
- upload test coverage to Code Climate
Code Climate checks the following:
- code quality metrics like code complexity
- test coverage minimum thresholds
The CircleCI jobs and Code Climate checks above have corresponding GitHub status checks.
Once all the mandatory GitHub checks pass and the code+functionality have been reviewed, developers can merge their pull request into our Git
master branch. Code is then ready to deploy!
Heroku was a decent choice to start a business, but at some point our platform was too big, too complex & too heterogenic, so Heroku started to be a constraint, not a benefit. First, we've started containerizing our apps with Docker to eliminate "works in my machine" syndrome & uniformize the environment setup. The first orchestration was composed with Docker Compose , but at some point it made sense to move it to Kubernetes. Fortunately, we've made a very good technical decision when starting our work with containers - all the container configuration & provisions HAD (since the beginning) to be done in code (Infrastructure as Code) - we've used Terraform & Ansible for that (correspondingly). This general trend of containerisation was accompanied by another, parallel & equally big project: migrating environments from Heroku to AWS: using Amazon EC2 , Amazon EKS, Amazon S3 & Amazon RDS.
Recently I have been working on an open source stack to help people consolidate their personal health data in a single database so that AI and analytics apps can be run against it to find personalized treatments. We chose to go with a #containerized approach leveraging Docker #containers with a local development environment setup with Docker Compose and nginx for container routing. For the production environment we chose to pull code from GitHub and build/push images using Jenkins and using Kubernetes to deploy to Amazon EC2.
We also implemented a dashboard app to handle user authentication/authorization, as well as a custom SSO server that runs on Heroku which allows experts to easily visit more than one instance without having to login repeatedly. The #Backend was implemented using my favorite #Stack which consists of FeathersJS on top of Node.js and ExpressJS with PostgreSQL as the main database. The #Frontend was implemented using React, Redux.js, Semantic UI React and the FeathersJS client. Though testing was light on this project, we chose to use AVA as well as ESLint to keep the codebase clean and consistent.
Since our production deployment makes use of the Convox platform, we use this to describe the containers to be deployed via Convox to AWS ECS.
We also use this for our local dev environment (previously used vagrant with chef).
Aside from our Minecraft-infrastructure, we compose it with ... Docker Compose! (kinda obious, eh .. ?) This includes for example the web-services, aswell as the monitoring and mail-infrastructure.
Docker Compose is just another part of my "infrastructure as code" initiative and allows me to build isolated pieces of systems with their own volumes and networks.
Our application will consist of several containers each communicating with each other. Using docker-compose, we can orchestrate several containers at once.