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  1. Stackups
  2. Application & Data
  3. Infrastructure as a Service
  4. Virtual Machine Management
  5. Docker Machine vs boot2docker

Docker Machine vs boot2docker

OverviewComparisonAlternatives

Overview

boot2docker
boot2docker
Stacks263
Followers211
Votes95
GitHub Stars8.3K
Forks1.3K
Docker Machine
Docker Machine
Stacks430
Followers518
Votes12

Docker Machine vs boot2docker: What are the differences?

Introduction

In this document, we will discuss the key differences between Docker Machine and boot2docker.

  1. 1. Operating System Support: Docker Machine is a tool that creates Docker hosts on virtual machines, and it supports a wide range of operating systems including Linux, Windows, and macOS. On the other hand, boot2docker is a lightweight Linux distribution that is designed specifically for running Docker containers, and it supports only macOS and Windows operating systems.

  2. 2. Architecture: Docker Machine uses a client-server architecture where the Docker client communicates with the Docker Machine to control remote Docker hosts. On the other hand, boot2docker provides a single virtual machine that runs both the Docker daemon and the Docker client, making it a simpler setup compared to Docker Machine.

  3. 3. Management of Docker hosts: Docker Machine allows you to create and manage multiple Docker hosts easily, as it abstracts the underlying infrastructure and provides a consistent interface to manage different cloud providers or virtualization platforms. On the contrary, boot2docker is restricted to running Docker containers on a single virtual machine, which limits its ability to manage multiple Docker hosts.

  4. 4. Resource Requirements: Docker Machine requires more hardware resources as it sets up a virtual machine with its own operating system for each Docker host. This can lead to higher resource consumption in terms of memory and CPU usage. In contrast, boot2docker is a lightweight distribution that has lower resource requirements, making it more efficient for running Docker containers on a single virtual machine.

  5. 5. Advanced Networking Features: Docker Machine provides advanced networking features such as integration with different network plugins, enabling the creation of complex networking setups for Docker hosts. On the other hand, boot2docker has limited networking capabilities and does not offer the same level of flexibility as Docker Machine for configuring network setups.

  6. 6. Development vs Production Use: Docker Machine is designed to be used in both development and production environments, as it offers a flexible way to create and manage Docker hosts on different infrastructure platforms. On the other hand, boot2docker is primarily targeted towards development and testing purposes, as it provides a simple and lightweight setup for running Docker containers on a local machine.

In Summary, Docker Machine offers support for multiple operating systems, a client-server architecture, advanced networking features, and the ability to create and manage multiple Docker hosts. On the other hand, boot2docker is limited to macOS and Windows operating systems, provides a single virtual machine setup, has lower resource requirements, and is more suitable for development and testing purposes.

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Detailed Comparison

boot2docker
boot2docker
Docker Machine
Docker Machine

boot2docker is a lightweight Linux distribution based on Tiny Core Linux made specifically to run Docker containers. It runs completely from RAM, weighs ~27MB and boots in ~5s (YMMV).

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.

Kernel 3.14.1 with AUFS, Docker 0.10.1, LXC 0.8.0;Container persistence via disk automount on /var/lib/docker;SSH keys persistence via disk automount
-
Statistics
GitHub Stars
8.3K
GitHub Stars
-
GitHub Forks
1.3K
GitHub Forks
-
Stacks
263
Stacks
430
Followers
211
Followers
518
Votes
95
Votes
12
Pros & Cons
Pros
  • 43
    Lightweight
  • 35
    Use docker when it's not natively possible
  • 11
    Use it for fast demo without big image
  • 3
    Easy to use
  • 3
    Containers
Pros
  • 12
    Easy docker hosts management
Integrations
Docker
Docker
VirtualBox
VirtualBox
Docker
Docker

What are some alternatives to boot2docker, Docker Machine?

Vagrant

Vagrant

Vagrant provides the framework and configuration format to create and manage complete portable development environments. These development environments can live on your computer or in the cloud, and are portable between Windows, Mac OS X, and Linux.

Kubernetes

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.

Rancher

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.

Docker Compose

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.

Docker Swarm

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.

Tutum

Tutum

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

Portainer

Portainer

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

Codefresh

Codefresh

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

CAST.AI

CAST.AI

It is an AI-driven cloud optimization platform for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps.

Otto

Otto

Otto automatically builds development environments without any configuration; it can detect your project type and has built-in knowledge of industry-standard tools to setup a development environment that is ready to go. When you're ready to deploy, otto builds and manages an infrastructure, sets up servers, builds, and deploys the application.

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