The Spring Cloud Data Flow team is pleased to announce the release of 1.4.0 RC1. Follow the Getting Started guides for Local Server, Cloud Foundry, and Kubernetes.

Following are the release highlights:

Stream Deployment UX

In Skipper mode, we have added a brand new stream deployment builder form to simplify the selection of platform and the properties while deploying a stream. The options include override to the deployment platform and the deployer, application and global properties for the streaming pipeline.

Docker Compose for Development

To simplify the getting started experience for the Local Server, we have added the Docker Compose support, which when run as a single command from the CLI, it will automatically provision the latest release of the Local-server along with Apache Kafka for messaging and H2 database to back the SCDF repository.

In addition to the out-of-the-box experience, you can also customize to switch to RabbitMQ for messaging, MySQL for database, or add Redis for Analytics.

Security

Based on the recent feedback, this release adds support for mapping the LDAP Active Directory Groups with the roles in Spring Cloud Data Flow. No need of extra translations or filtering; with Active Directory definition and the right mapping in SCDF, the desired authorization role can be automatically applied.

This release also addressed a few technical debt chores and bug-fixes. For more details, check out the release notes.

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

Please try it out, share your feedback, and consider contributing to the project!