Git Product home page Git Product logo

lcow's Introduction

LinuxKit based LCOW images

CircleCI

This repository hosts the components to build a LinuxKit based Linux image for Linux Containers on Windows.

Note: LCOW support is currently experimental and under active development.

Note: Issues are currently disabled on this project. For LinuxKit specific issues, please file an issue under linuxkit/linuxkit. For general LCOW issues, consider opening an issue under moby/moby

Use

This section describes how to use Linux Containers on Windows with LinuxKit.

Prerequisites

To use Linux Containers on Windows you need a Windows build supporting the feature, i.e., Windows 10 Pro or Windows Server 2016 1709 (or newer Insider builds). You also need to have Hyper-V and the Container feature enabled.

Setup

For now, you need a recent version of docker, such as a nightly build from the master branch. In PowerShell:

Invoke-WebRequest -UseBasicParsing -OutFile dockerd.exe https://master.dockerproject.org/windows/x86_64/dockerd.exe
Invoke-WebRequest -UseBasicParsing -OutFile docker.exe https://master.dockerproject.org/windows/x86_64/docker.exe

Next, you need to get the LinuxKit images. You can either build them yourself (see below) or download the latest zip file from the releases page. Then unzip in an elevated PowerShell:

Remove-Item "$env:ProgramFiles\Linux Containers" -Force -Recurse
Expand-Archive release.zip -DestinationPath "$Env:ProgramFiles\Linux Containers\."
rm release.zip

Run

On recent docker master builds (master-dockerproject-2018-01-20, build 44a1168a or newer):

Start the docker daemon (in an elevated PowerShell):

.\dockerd.exe -D --experimental

You should now be able to run Linux containers on Windows, e.g.:

docker run --platform linux --rm -ti busybox sh

On older docker master builds:

Start the docker daemon (in an elevated PowerShell):

$env:LCOW_SUPPORTED=1
$env:LCOW_API_PLATFORM_IF_OMITTED="linux"
Remove-Item c:\lcow -Force -Recurse; mkdir c:\lcow
.\dockerd.exe -D --experimental --data-root c:\lcow

(Note: If your kernel is older than 4.14 and is configured with KASLR you may want to add --storage-opt lcow.bootparameters="nokaslr" to the dockerd command line.)

You should now be able to run Linux containers on Windows, e.g.:

docker run --rm -ti busybox sh

If you already have docker installed on your system you probably want to start the daemon (and the client) on a non-standard named pipe using the -H "npipe:////./pipe//docker_lcow" for both.

Build

The LinuxKit image is build from lcow.yml and the main package is called init-lcow.

Prerequisites

To build images and packages you will need the LinuxKit tool. You also need to have a working Docker installation.

If you already have go installed you can use go get -u github.com/linuxkit/linuxkit/src/cmd/linuxkit to install the linuxkit tool.

On macOS there is a brew tap available. Detailed instructions are at linuxkit/homebrew-linuxkit, but the short summary is:

brew tap linuxkit/linuxkit
brew install --HEAD linuxkit

Building the LCOW image

Simply type:

make

which generates kernel and initrd.img which need to be copied to "$env:ProgramFiles\Linux Containers\kernel" on your Windows system.

Alternatively, use:

linuxkit build lcow.yml

This will generate three files: lcow-kernel, lcow-initrd.img, and lcow-cmdline. lcow-kernel needs to be copied to "$env:ProgramFiles\Linux Containers\kernel" and lcow-initrd.img to "$env:ProgramFiles\Linux Containers\initrd.img".

Building the init-lcow package

The init-lcow contains a minimal init system used inside the LCOW and mainly consists of the OpenGCS deamon. To rebuild the package use the linuxkit tool:

linuxkit pkg build -org foo pkg/init-lcow

This should create a local image foo/init-lcow:<tag> which can be used lcow.yml. To build and push the image to hub use:

linuxkit pkg build -org <your hub name> -disable-content-trust pkg/init-lcow

You can omit -disable-content-trust if your registry has Docker Content Trust enabled.

Test

The tests directory contains a number of tests for LCOW written using rtf. To run them you can simply execute RunTests.ps1 inside the .\tests directory. It will pick up the kernel/initrd in the parent directory if present. Alternatively, it can download the artefact from CircleCI if you supply the build number. The script will also download the latest version of docker and the version of the rtf binary.

Test results will be stored in .\tests\_results\<UUID> directory where <UUID> is the UUID printed out during the test run.

To manually run the test, make sure you have a working LCOW system set up. You'll also need a copy of the rtf.exe binary (see RunTests.ps1 on how to obtain it or go get .. it). Further, docker must also be in your path.

To run tests, use rtf run inside the .\tests directory. To list which tests are available use rtf list or rtf info. To run an individual test or a group of tests use rtf run <name>.

lcow's People

Contributors

ijc avatar justincormack avatar rn avatar thajeztah avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.