Deis (pronounced DAY-iss) Workflow is an open source Platform as a Service (PaaS) that adds a developer-friendly layer to any Kubernetes cluster, making it easy to deploy and manage applications on your own servers.
For more information about the Deis Workflow, please visit the main project page at https://github.com/deis/workflow.
The Controller is the central API server for Deis Workflow. It is installed on a Kubernetes cluster, making it easy to deploy and manage applications on your own cluster. Below is a non-exhaustive list of things it can do:
- Create a new application
- Delete an application
- Scale an application
- Configure an application
- Create a new user
The Deis project welcomes contributions from all developers. The high level process for development matches many other open source projects. See below for an outline.
- Fork this repository
- Make your changes
- Submit a pull request (PR) to this repository with your changes, and unit tests whenever possible.
- If your PR fixes any issues, make sure you write Fixes #1234 in your PR description (where #1234 is the number of the issue you're closing)
- The Deis core contributors will review your code. After each of them sign off on your code, they'll label your PR with LGTM1 and LGTM2 (respectively). Once that happens, the contributors will merge it
In order to do development on this component, you'll need a working Kubernetes cluster. If you don't have one, follow the installation instructions and note that Controller currently targets version 1.2 and higher.
After you have a working Kubernetes cluster, you're ready to install Workflow.
The application and tests use PostgreSQL. To start a local instance via Docker, run
make postgres and set the following in your shell:
export PGHOST=`docker-machine ip $(docker-machine active) 2>/dev/null || echo 127.0.0.1` export PGPORT=5432 export PGUSER=postgres
Python 3.5 is a minimum requirement and can be installed via
brew install pyenv
- After installing, ensure
eval "$(pyenv init -)"is added to your shell startup.
- Install and use Python 3.5:
pyenv install 3.5.0 # if you have build issues, ensure Xcode CLI tools are installed:https://github.com/yyuu/pyenv/issues/451#issuecomment-151336786 python local 3.5.0 # use Python 3.5.0 in your current directory
Or via your package manager. For example, on Debian Jessie:
apt-get install python3 python3-dev python3-venv
With the correct Python in place the quickest way to get up and running is to run
make setup-venv which will install the Python specific dependencies via PIP inside an isolated virtualenv.
python --version to verify the correct version is recommend.
Follow the linked documentation to learn about virtualenv and how to
deactivate the environment.
Testing Your Code
When you've built your new feature or fixed a bug, make sure you've added appropriate unit tests and run
make test to ensure your code works properly.
Also, since this component is central to the platform, it's recommended that you manually test and verify that your feature or fix works as expected. To do so, ensure the following environment variables are set:
DEIS_REGISTRY- A Docker registry that you have push access to and your Kubernetes cluster can pull from
IMAGE_PREFIX- The organization in the Docker repository. This defaults to
deis, but if you don't have access to that organization, set this to one you have push access to.
SHORT_NAME(optional) - The name of the image. This defaults to
VERSION(optional) - The tag of the Docker image. This defaults to the current Git SHA (the output of
git rev-parse --short HEAD)
make deploy to build and push a new Docker image with your changes and replace the existing one with your new one in the Kubernetes cluster. See below for an example with appropriate environment variables.
export DEIS_REGISTRY=quay.io/ export IMAGE_PREFIX=arschles make deploy
make deploy finishes, a new pod will be launched but may not be running. You'll need to wait until the pod is listed as
Running and the value in its
Ready column is
1/1. Use the following command watch the pod's status:
kubectl get pod --namespace=deis -w | grep deis-controller
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