The preparatory talk covers all the basics you'll need for this workshop, including:
Use the provided slides while advancing through the levels, adding more features to your container. Remember to go over each level's readme, and if things get rough - you can always find the solution for level N in the level N+1 skeleton.
Not all the necessary system calls are exposed in python's standard library. In addition, we want to preserve the semantics of the system calls and use them as if we were writing C. We therefore wrote a python module called linux (take a look at linux.c) which exposes the relevant system calls. Have a look at the module documentation for more info.
There are currently 3 options to start the workshop by yourself:
| We created a public AMI with the required configuration and utilities already installed: | Region | AMI |
|---|---|---|
| eu-central-1 | ami-041c4af571b01d0f8 |
|
| il-central-1 | ami-036406540dcc4a690 |
|
| us-east-1 | ami-0cb446a6fd2678063 |
|
| us-west-1 | ami-0defd345b84194d79 |
The workshop material is checked out at /workshop on the instance:
/workshop/rubber-docker - this repository, where you do all the work/workshop/images - images for containers, already populated with ubuntu and busybox imagesBefore starting the workshop, go over the prep docs in the docs folder.
Start the workshop at /workshop/rubber-docker/levels/00_fork_exec.
If you need to build and install the linux module:
make install If you want a distributable wheel package:
make buildThis workshop has been publicly given in many places starting February 2016.
Because we feel the only way to truly understand something to build it from scratch - and Linux containers are a very hyped and poorly understood technology
Of course! If you do, please consider letting us know on Twitter (@nukemberg and @nocoot) and of course send feedback.
Yes, no way we can cover the entire featureset of a real container engine. We tried to concentrate on thing we believe are important for understanding how containers work
See contributions below
Contributions are welcome! If you found a bug or something to improve feel free to open an issue or a pull request. Please note that the entire repository is under MIT license and your contribution will be under that license.
We'd like to thank our friends at Strigo.io for kindly providing their platform, and allowing us to deliver this and other workshops without worrying about infrastructure. If you plan to deliver this workshop yourself, we highly encourage you to contact them.