Deis Workflow is no longer maintained.
Please read the announcement for more detail.
09/07/2017 Deis Workflow v2.18 final release before entering maintenance mode
03/01/2018 End of Workflow maintenance: critical patches no longer merged
Hephy is a fork of Workflow that is actively developed and accepts code contributions.

Deis Controller

Build Status Docker Repository on Quay Dependency Status

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

We welcome your input! If you have feedback, please submit an issue. If you'd like to participate in development, please read the "Development" section below and submit a pull request.


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:


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.



Unit tests and code linters for controller run in a Docker container with your local code directory mounted in. You need Docker to run make test.


You'll want to test your code changes interactively in a working Kubernetes cluster. Follow the installation instructions if you need Kubernetes.

Workflow Installation

After you have a working Kubernetes cluster, you're ready to install Workflow.

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:

Then, run 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 IMAGE_PREFIX=arschles
make deploy

After the 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