Docker Compose vs Docker Machine vs Docker Swarm

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Docker Compose
Docker Compose

5K
3.5K
+ 1
446
Docker Machine
Docker Machine

355
359
+ 1
13
Docker Swarm
Docker Swarm

435
420
+ 1
207

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.

What is Docker Machine?

Machine lets you create Docker hosts on your computer, on cloud providers, and inside your own data center. It creates servers, installs Docker on them, then configures the Docker client to talk to them.

What is Docker Swarm?

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.
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Why do developers choose Docker Compose?
Why do developers choose Docker Machine?
Why do developers choose Docker Swarm?

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    What are some alternatives to Docker Compose, Docker Machine, and Docker Swarm?
    Kubernetes
    Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.
    Docker
    The Docker Platform is the industry-leading container platform for continuous, high-velocity innovation, enabling organizations to seamlessly build and share any application — from legacy to what comes next — and securely run them anywhere
    Helm
    Helm is the best way to find, share, and use software built for Kubernetes.
    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.
    Rancher
    Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.
    See all alternatives
    Decisions about Docker Compose, Docker Machine, and Docker Swarm
    Yshay Yaacobi
    Yshay Yaacobi
    Software Engineer · | 27 upvotes · 340.1K views
    atSolutoSoluto
    Docker Swarm
    Docker Swarm
    .NET
    .NET
    F#
    F#
    C#
    C#
    JavaScript
    JavaScript
    TypeScript
    TypeScript
    Go
    Go
    Visual Studio Code
    Visual Studio Code
    Kubernetes
    Kubernetes

    Our first experience with .NET core was when we developed our OSS feature management platform - Tweek (https://github.com/soluto/tweek). We wanted to create a solution that is able to run anywhere (super important for OSS), has excellent performance characteristics and can fit in a multi-container architecture. We decided to implement our rule engine processor in F# , our main service was implemented in C# and other components were built using JavaScript / TypeScript and Go.

    Visual Studio Code worked really well for us as well, it worked well with all our polyglot services and the .Net core integration had great cross-platform developer experience (to be fair, F# was a bit trickier) - actually, each of our team members used a different OS (Ubuntu, macos, windows). Our production deployment ran for a time on Docker Swarm until we've decided to adopt Kubernetes with almost seamless migration process.

    After our positive experience of running .Net core workloads in containers and developing Tweek's .Net services on non-windows machines, C# had gained back some of its popularity (originally lost to Node.js), and other teams have been using it for developing microservices, k8s sidecars (like https://github.com/Soluto/airbag), cli tools, serverless functions and other projects...

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    Sebastian Gębski
    Sebastian Gębski
    CTO at Shedul/Fresha · | 6 upvotes · 56.5K views
    atFresha EngineeringFresha Engineering
    Docker
    Docker
    Docker Compose
    Docker Compose
    Kubernetes
    Kubernetes
    Terraform
    Terraform
    Ansible
    Ansible
    Amazon EC2
    Amazon EC2
    Amazon EKS
    Amazon EKS
    Amazon S3
    Amazon S3
    Amazon RDS
    Amazon RDS

    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.

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    Docker
    Docker
    Docker Compose
    Docker Compose
    Jenkins
    Jenkins
    Kubernetes
    Kubernetes
    Amazon EC2
    Amazon EC2
    Heroku
    Heroku
    FeathersJS
    FeathersJS
    Node.js
    Node.js
    ExpressJS
    ExpressJS
    PostgreSQL
    PostgreSQL
    React
    React
    Redux
    Redux
    Semantic UI React
    Semantic UI React
    AVA
    AVA
    ESLint
    ESLint
    nginx
    nginx
    GitHub
    GitHub
    #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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    Interest over time
    Reviews of Docker Compose, Docker Machine, and Docker Swarm
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    How developers use Docker Compose, Docker Machine, and Docker Swarm
    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 (haftungsbeschränkt)
    Scrayos UG (haftungsbeschränkt) 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.

    Avatar of DNT
    DNT uses Docker MachineDocker Machine

    Crating Docker machines for production and local development.

    Avatar of Walter
    Walter uses Docker MachineDocker Machine

    Management of and deployment to production.

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