RktMachine is a macOS menu bar app providing a CoreOS VM using HyperKit and the macOS Hypervisor. It supports developer workflows using the rkt container system.

It can be used to control system dependencies for a project, to provide a container based environment with necessary dependencies for building and running software under development, or to try out new tools and services quickly.

RktMachine is a combination of coreos-osx and corectl.app, two macOS menu bar apps from TheNewNormal using their corectl CoreOS VM management tool. The apps have been integrated into one and a number of choices made to reduce configurability. See TheNewNormal GitHub project for more advanced macOS tools supporting Kubernetes.

Detailed documentation is provided in the docs directories and at woofwoofinc.github.io/rktmachine.

To install RktMachine, download a dmg from releases, open it and copy the RktMachine.app binary to your /Applications folder.

The app will prompt for your user password in order to start the corectl service as root.

On start, the app will boot the existing CoreOS VM if available or attempt to create and boot a new CoreOS VM. The VM can be managed from the menu bar icon, a dog silhouette.

SSH to the CoreOS VM is also available from this menu. The current user home directory is mounted from the host macOS onto the CoreOS VM at the same location, e.g. /Users/.

See the full tutorial at woofwoofinc.github.io/rktmachine/tutorial.html.

The RktMachine application is built using Xcode. To run a development build, start by opening the RktMachine project file in Xcode.

Then make sure you are not already running RktMachine and use the Product -> Run menu option or the play button in the top left to build and run the source code.

There is lots more documentation about building RktMachine in the docs directories and at woofwoofinc.github.io/rktmachine.

If you want to help extend and improve this project, then your contributions would be greatly appreciated. Check out our GitHub issues for ideas or a place to ask questions. Welcome to the team!

This work is dual-licensed under the Apache License, Version 2.0 and under the MIT Licence.

You may license this work under the Apache License, Version 2.0.

Copyright 2017 Woof Woof, Inc. contributors, Rimas Mocevicius

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