AWS CodePipeline聽vs聽Docker Compose

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AWS CodePipeline
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AWS CodePipeline vs Docker Compose: What are the differences?

What is AWS CodePipeline? Continuous delivery service for fast and reliable application updates. CodePipeline builds, tests, and deploys your code every time there is a code change, based on the release process models you define.

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 CodePipeline belongs to "Continuous Deployment" category of the tech stack, while Docker Compose can be primarily classified under "Container Tools".

"Simple to set up" is the top reason why over 3 developers like AWS CodePipeline, while over 111 developers mention "Multi-container descriptor" as the leading cause for choosing Docker Compose.

Docker Compose is an open source tool with 16.6K GitHub stars and 2.56K GitHub forks. Here's a link to Docker Compose's open source repository on GitHub.

StackShare, Typeform, and CircleCI are some of the popular companies that use Docker Compose, whereas AWS CodePipeline is used by Volta Industries, ChromaDex, and PouchNATION. Docker Compose has a broader approval, being mentioned in 795 company stacks & 625 developers stacks; compared to AWS CodePipeline, which is listed in 29 company stacks and 15 developer stacks.

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What is AWS CodePipeline?

CodePipeline builds, tests, and deploys your code every time there is a code change, based on the release process models you define.

What is Docker Compose?

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.
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Why do developers choose AWS CodePipeline?
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    What are some alternatives to AWS CodePipeline and Docker Compose?
    AWS CodeDeploy
    AWS CodeDeploy is a service that automates code deployments to Amazon EC2 instances. AWS CodeDeploy makes it easier for you to rapidly release new features, helps you avoid downtime during deployment, and handles the complexity of updating your applications.
    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.
    AWS CodeBuild
    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鈥檛 need to provision, manage, and scale your own build servers.
    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.
    Bamboo
    Focus on coding and count on Bamboo as your CI and build server! Create multi-stage build plans, set up triggers to start builds upon commits, and assign agents to your critical builds and deployments.
    See all alternatives
    Decisions about AWS CodePipeline and Docker Compose
    Sebastian G臋bski
    Sebastian G臋bski
    CTO at Shedul/Fresha | 6 upvotes 50.9K views
    atFresha EngineeringFresha Engineering
    Amazon RDS
    Amazon RDS
    Amazon S3
    Amazon S3
    Amazon EKS
    Amazon EKS
    Amazon EC2
    Amazon EC2
    Ansible
    Ansible
    Terraform
    Terraform
    Kubernetes
    Kubernetes
    Docker Compose
    Docker Compose
    Docker
    Docker

    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.

    See more
    GitHub
    GitHub
    nginx
    nginx
    ESLint
    ESLint
    AVA
    AVA
    Semantic UI React
    Semantic UI React
    Redux
    Redux
    React
    React
    PostgreSQL
    PostgreSQL
    ExpressJS
    ExpressJS
    Node.js
    Node.js
    FeathersJS
    FeathersJS
    Heroku
    Heroku
    Amazon EC2
    Amazon EC2
    Kubernetes
    Kubernetes
    Jenkins
    Jenkins
    Docker Compose
    Docker Compose
    Docker
    Docker
    #Containerized
    #Containers
    #Backend
    #Stack
    #Frontend

    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.

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    Reviews of AWS CodePipeline and Docker Compose
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    How developers use AWS CodePipeline and Docker Compose
    Avatar of Chris Saylor
    Chris Saylor uses Docker ComposeDocker Compose

    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).

    Avatar of Scrayos UG (haftungsbeschr盲nkt)
    Scrayos UG (haftungsbeschr盲nkt) uses Docker ComposeDocker Compose

    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.

    Avatar of sapslaj
    sapslaj uses Docker ComposeDocker Compose

    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.

    Avatar of Sathish N
    Sathish N uses Docker ComposeDocker Compose

    Our application will consist of several containers each communicating with each other. Using docker-compose, we can orchestrate several containers at once.

    Avatar of Curabase
    Curabase uses Docker ComposeDocker Compose

    The core tech in ACS (Azure Container Services) we spin up a Kubernetes cluster and deploy our app into staging and production environments here.

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