The Spring Cloud Data Flow team is pleased to announce the release of 2.1.2 GA and 2.0.3 GA of Data Flow.

This is a minor release with mostly bug fixes and documentation enhancements.

Here are the highlights of the releases:

• Bug fixes on Spring Cloud Data Flow, Spring Cloud Data Flow UI and Spring Cloud Scheduler for CloudFoundry

• Java Stream DSL now supports stream update operation

• Spring Cloud Deployer now uses Maven Resolver instead of Aether for resolving the Maven artifacts

Along with the releases, we also have the Spring Cloud Data Flow website enhanced with

• Responsive Design

• More receipes and use cases discussion

• Documentation fixes

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The Spring Cloud Data Flow team is pleased to announce the release of 2.0.2 GA of Data Flow. Follow the Getting Started guides for running on Local, Cloud Foundry, and Kubernetes.

This is a minor release with mostly bug fixes and documentation enhancements.

Here are the highlights of this release:

• Improved documentation

  • Docs update for enabling Kafka on Helm Chart

  • Improved architecture diagrams

  • Getting started guide improvements

• Bug fixes on Spring Cloud Data Flow, Spring Cloud Data Flow UI, and Spring Cloud Deployer implementations

Stay in touch…​

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

The Spring Cloud Data Flow team is pleased to announce the release of 2.0.1 GA of Data Flow. Follow the Getting Started guides for running on Local, Cloud Foundry, and Kubernetes.

This is a minor release with mostly bug fixes and documentation enhancements.

Here are the highlights of this release:

• Kubernetes deployment configuration for Skipper server is now backed by MySQL as the default database.

• Remove extraneous Spring Data Redis dependency to fix Spring Cloud Data Flow server health check.

• Improved Getting Started documentation.

• Bug fixes on Spring Cloud Data Flow and Spring Cloud Data Flow UI.

• All the out-of-the-box stream apps from the Documentation examples now use Einstein SR2.

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Spring Cloud Stream has recently added a feature to compose a function definition into an existing Spring Cloud Stream application. In this blog, we'll see how Spring Cloud Data Flow makes use of this feature to compose functions in Streaming pipelines.

What’s different about it?

In Spring Cloud Data Flow, streaming data pipelines are comprised of Spring Cloud Stream applications. A developer can pick and choose the out-of-the-box streaming applications, which cover many common use cases. A developer can also extend these out-of-the-box applications or create custom applications by using…

We are pleased to announce the release of Spring Cloud Skipper 1.1.0.M1

Spring Cloud Skipper is a lightweight tool that allows you to discover Spring Boot applications and manage their lifecycle on multiple Cloud Platforms. You can use Skipper standalone or integrate it with Continuous Integration pipelines to help implement the practice of Continuous Deployment.

The getting started section in the reference guide is the best place to start kicking the tires.

Focus on Cloud Foundry manifest:

This milestone release adds a new feature to perform the lifecycle operations to install, upgrade, rollback and delete on any applications that can be deployed into Cloud Foundry using the Cloud Foundry manifest…