Spring Cloud Data Flow 1.7 RC1 released

October 19, 2018 Mark Pollack

The Spring Cloud Data Flow team is pleased to announce the release of 1.7 RC1. Follow the Getting Started guides for Local Server, Cloud Foundry, and Kubernetes.

The RC1 release builds on the core features introduced in 1.7 M1 with a few refinements.

Here are the highlights

Improved UI — The UI has a completely new look. The property whitelisting functionality has been refined to not display all application properties by default if the whitelist is empty.
Stream Application DSL — This has been integrated into the UI so you can design a data pipeline made out of arbitrary Boot applications.
Support for scheduling of tasks on Kubernetes.
Audit trail. — Task and Scheduler supported has been added.
Concurrent Task Launch Limiting.
Stream and Task validation. — Added support for validation of applications registered of type 'app'.
Force upgrade for Streams.
Added section to customize docker compose to include Skipper. See item 5 in Customizing Spring Cloud Data Flow.

As always, we welcome feedback and contributions, so please reach out to us on Stackoverflow or GitHub or via Gitter.

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