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What system is boot2docker?

青灯夜游
青灯夜游Original
2021-12-30 15:28:204485browse

Boot2Docker is a lightweight Linux distribution designed specifically for Docker. It is an operating system used to solve the problem that Windows or OS X users cannot install Docker. Boot2Docker runs completely in memory, is 24M in size, and only takes 5-6 seconds to start.

What system is boot2docker?

The operating environment of this tutorial: linux5.9.8 system, docker-1.13.1 version, Dell G3 computer.

Boot2Docker is a lightweight Linux distribution based on Tiny Core Linux. It is an operating system that solves the problem that Windows or OS X users cannot install Docker. Boot2Docker is specially prepared for Docker, runs completely in memory, is 24M in size, and only takes 5-6 seconds to start.

Boot2Docker needs to run in VirtualBox. For specific installation, please refer to the official documentation (https://github.com/boot2docker/boot2docker#installation).


Step one: Download bootdocker2.exe and install it

https://github.com/boot2docker/windows- installer/releases

After the installation is complete, there will be a startup script on the desktop. Opening it will start the virtual machine vbox and run the boot2docker inside. Here

Note: This system is only a readable system, and changes to the system will not be retained. For example, if I execute: mkdir, work, and then restart, I will not see the wrok folder, but all the docker images and operations will be retained. On the virtual hard disk, it will not be lost.

Step 2: Mount the shared folder

This system has a default mounting mechanism

Share name: c/User will be mounted to /c/Users

What system is boot2docker?

Look at the picture: In this way, I map /c/Users in the virtual machine to E:\virual\docker (its share name is c/Users)

There are some more below:
Users Mount to /Users
/Users Mount to /Users
c/Users Mount to /c/Users
/c/Users Mount to /c/Users
c:/Users Mount to /c/Users

In this way, the windows directory is mounted to boot2docker. The next step is docker.

Recommended learning: "docker video tutorial"

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