Hokusai is a Docker + Kubernetes CLI for application developers.
Hokusai "dockerizes" applications and manages their lifecycle throughout development, testing, and release cycles.
Hokusai wraps calls to kubectl, docker, docker-compose and git with a CLI, and defines a CI workflow.
Hokusai currently only supports Kubernetes deployments on AWS, configured to pull from ECS container repositories (ECR), although other providers may be added in the future.
At Artsy, as we began working with Kubernetes, while impressed with its design, capabilities, and flexibility, we were in need of tooling we could deliver to agile development teams that addressed the day-to-day tasks of application development, delivery, introspection and maintenance, while providing a clean and uncomplicated interface.
Transitioning teams to the Docker / Kubernetes ecosystem can be intimidating, and comes with a steep learning curve. We set out to create a Heroku-like CLI that would shepherd the application developer into the ecosystems of Docker and Kubernetes, and while introducing new tooling and concepts, outlining a clear practice for dependency management, local development, testing and CI, image repository structure, deployment and orchestration.
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Python 2.x and pip
If you use homebrew on OSX, install Docker for Mac with: brew tap caskroom/cask && brew cask install docker
If you installed Docker for Mac, docker-compose is also installed. Otherwise install with: pip install docker-compose.
If you're on OSX, the preferred installation method is via homebrew:
$ brew tap artsy/formulas
$ brew install hokusai
If you've previously installed hokusai via an alternate installation method, you may need to force the link step. If you installed hokusai via pip, you may also want to cleanup that installation:
$ pip uninstall hokusai
$ brew link --overwrite hokusai
Note: If installing via pip fails due to pip failing to upgrade your system Python packages, try running pip install hokusai --ignore-installed.
Note: You may need to adjust the target desination to match a directory in your $PATH.
curl --silent https://artsy-provisioning-public.s3.amazonaws.com/hokusai/hokusai-latest-$(uname -s)-$(uname -m) -o /usr/local/bin/hokusai && chmod +x /usr/local/bin/hokusai
- Configure your AWS credentials.
- Run
hokusai configure --kubectl-version <kubectl version> --s3-bucket <bucket name> --s3-key <file key>. You'll need to provide the kubectl version matching your Kubernetes deployments, as well as the S3 bucket name and key of your org's kubectl config file. System administrators: see Administering Hokusai for instructions on preparing AWS, Kubernetes, and publishing a kubectl config file. Artsy devs: see these artsy/README docs for the current way to install and configure hokusai.
To enable bash autocompletion: eval "$(_HOKUSAI_COMPLETE=source hokusai)"
See Getting Started.md to start using Hokusai for your project.
A full command reference can be found in Command Reference.md.
To work on Hokusai itself, set up your local development environment like so:
- As above, install
python,pip,docker,docker-composeandgit.
To install the Hokusai package in "editable mode" from a checkout of this repository, you can run pip install -e . This works well in combination with Virtualenv/Virtualenvwrapper as you can install the project in editable mode within a virtualenv, and from a release in your default system environment.
Install dependencies: pip install -r requirements.txt.
All tests can be run with python -m unittest discover test.
Only run unit tests: python -m unittest discover test.unit
Only run integration tests: python -m unittest discover test.integration
Tests for specific modules, TestClasses, or even methods can be run with python -m unittest test.unit.test_module.TestClass.test_method
Set the DEBUG=1 environment variable to print boto logging
Hokusai can be used to simplify the process of spinning up a "review app" instance of your project, based on a feature branch or pull request.
Full details are in the Review App reference.
Merges to master automatically distribute Pyinstaller versions for beta testing at https://artsy-provisioning-public.s3.amazonaws.com/hokusai/hokusai-head-Darwin-x86_64 and https://artsy-provisioning-public.s3.amazonaws.com/hokusai/hokusai-head-Linux-x86_64 respectively.
To create a new release, bump the version by editing the ./hokusai VERSION file, create an entry in CHANGELOG.md and open a PR from master to the release branch of this repo.
The project is named for the great Japanese artist Katsushika Hokusai (1760-1849).