AWS CodeBuild vs Docker Compose: What are the differences?
What is AWS CodeBuild? Build and test code with continuous scaling. AWS CodeBuild is a fully managed build service that compiles source code, runs tests, and produces software packages that are ready to deploy. With CodeBuild, you don’t need to provision, manage, and scale your own build servers.
What is 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.
AWS CodeBuild belongs to "Continuous Integration" category of the tech stack, while Docker Compose can be primarily classified under "Container Tools".
"Pay per minute" is the primary reason why developers consider AWS CodeBuild over the competitors, whereas "Multi-container descriptor" was stated as the key factor in picking Docker Compose.
Docker Compose is an open source tool with 16.4K GitHub stars and 2.52K GitHub forks. Here's a link to Docker Compose's open source repository on GitHub.
StackShare, hike, and Harvest are some of the popular companies that use Docker Compose, whereas AWS CodeBuild is used by Convox, Volta Industries, and ChromaDex. Docker Compose has a broader approval, being mentioned in 787 company stacks & 608 developers stacks; compared to AWS CodeBuild, which is listed in 21 company stacks and 14 developer stacks.
What is AWS CodeBuild?
What is Docker Compose?
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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.
The open-source Convox Platform-as-a-Service is built entirely on AWS cloud services.
Through this lens, it's been obvious that AWS has been missing a managed build service. For the past year we've had to work around this by building our own build service on ECS and ECR. You can read more on my AWS Missing Parts: Build Service blog post.
So I'm excited to finally have this service. After a quick weekend prototype, the service works as expected and will unlock Cheaper, Faster and Safer Builds for our systems.
This is a classic AWS service. It's tricky to figure out all the options. I recommend jumping straight to the Docker example docs:
You'll need to figure IAM, Build Project JSON, and Build Spec YAML to get it all working.
But once you do, you've unlocked managed builds on small, medium or large compute types. No instances required!
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.
The core tech in ACS (Azure Container Services) we spin up a Kubernetes cluster and deploy our app into staging and production environments here.