	Deis Workflow is no longer maintained.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 Builder v2

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 Deis Workflow, please visit the main project page at https://github.com/deis/workflow.

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.

About

The builder is primarily a git server that responds to git pushes by executing either the git-receive-pack or git-upload-pack hook. After it executes one of those hooks, it takes the following high level steps in order:

Calls git archive to produce a tarball (i.e. a .tar.gz file) on the local file system
Saves the tarball to centralized object storage according to the following rules:
- If the BUILDER_STORAGE environment variable is other than minio, attempts to create the appropriate storage driver and saves using this driver.

Otherwise, if BUILDER_STORAGE is minio and the DEIS_MINIO_SERVICE_HOST and DEIS_MINIO_SERVICE_PORT environment variables exist (these are standard Kubernetes service discovery environment variables), saves to the S3 API compatible server at http://$DEIS_MINIO_SERVICE_HOST:$DEIS_MINIO_SERVICE_HOST

Starts a new Kubernetes Pod to build the code, according to the following rules:

If a Dockerfile is present in the codebase, starts a dockerbuilder pod, configured to download the code to build from the URL computed in the previous step.
Otherwise, starts a slugbuilder pod, configured to download the code to build from the URL computed in the previous step.

Supported Off-Cluster Storage Backends

Builder currently supports the following off-cluster storage backends:

GCS
AWS/S3
Azure
Swift

Development

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, a contributor will merge it

Docker Based Development Environment

The preferred environment for development uses the go-dev Docker image. The tools described in this section are used to build, test, package and release each version of Deis.

To use it yourself, you must have make installed and Docker installed and running on your local development machine.

If you don't have Docker installed, please go to https://www.docker.com/ to install it.

After you have those dependencies, grab Go dependencies with make bootstrap, build your code with make build and execute unit tests with make test.

Native Go Development Environment

You can also use the standard go toolchain to build and test if you prefer. To do so, you'll need glide 0.9 or above and Go 1.6 or above installed.

After you have those dependencies, you can build and unit-test your code with go build and go test $(glide nv), respectively.

Note that you will not be able to build or push Docker images using this method of development.

Testing

The Deis project requires that as much code as possible is unit tested, but the core contributors also recognize that some code must be tested at a higher level (functional or integration tests, for example).

The end-to-end tests repository has our integration tests. Additionally, the core contributors and members of the community also regularly dogfood the platform. Since this particular component is at the center of much of the Deis Workflow platform, we find it especially important to dogfood it.

Running End-to-End Tests

Please see README.md on the end-to-end tests repository for instructions on how to set up your testing environment and run the tests.

Dogfooding

Please follow the instructions on the official Deis docs to install and configure your Deis Workflow cluster and all related tools, and deploy and configure an app on Deis Workflow.