Spring Cloud Data Flow 1.3.0.M3 released
We are pleased to announce the 1.3.0.M3 release of the Spring Cloud Data Flow and its associated ecosystem of projects.
Local Server: Getting Started Guide
Release Highlights
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 1.3.0.M3 we have provided the ability to update sources, processors, and sinks independently without having to undeploy and redeploy the entire stream.
The stream update feature is implemented by delegating the deployment process to a new Spring Cloud project called Skipper. Introduced in this blog, Spring Cloud Skipper is a standalone server that deploys Spring Boot applications to multiple cloud platforms. It also keeps track of the application version, application properties, and deployment properties of the deployed application or applications so that the changes to any of these…