This section covers the installation Data Flow on Kubernetes by using the Helm chart and by using kubectl.

This guide also describes how to set up an environment for testing Spring Cloud Data Flow on the Google Kubernetes Engine. It is not meant to be a definitive guide for setting up a production environment. You can adjust the suggestions to fit your test setup. Remember that a production environment requires much more consideration for persistent storage of message queues, high availability, security, and other concerns. See the Creating a Cluster section for some high-level guidance about creating a Kubernetes cluster.