Spring Cloud Data Flow 1.3 GA released
On behalf of the team, I am pleased to announce the general availability of Spring Cloud Data Flow 1.3 across a range of platforms
Follow the Getting Started guides for Local Server, Cloud Foundry, and Kubernetes
Stream updates and rollback
A streaming data pipeline orchestrated as a series of microservice applications has always been the core value of Spring Cloud Data Flow’s design. In Data Flow 1.3 we have provided the ability to update sources, processors, and sinks independently without having to undeploy and redeploy the entire stream.
The stream update and rollback functionality is implemented by delegating the deployment process to a new Spring Cloud project called Skipper. Skipper is a lightweight Spring Boot application, purpose-built to fill this feature gap in Data Flow. Skipper defines a package format, much like
brew and can also deploy/undeploy applications to multiple cloud platforms: Local, Cloud Foundry, and Kubernetes. It uses the same Spring Cloud Deployer libraries that have been part of Data Flow since the beginning. Recent presentations at SpringOne 2017 introduces Skipper and the …