Spring Team
Ilayaperumal Gopinathan

Ilayaperumal Gopinathan

Spring Cloud Skipper/Stream/Data Flow committer

Madurai, India

Ilayaperumal (a.k.a Ilaya) is a core committer on Spring Cloud projects such as Spring Cloud Stream, Spring Cloud Data Flow, Spring Cloud Skipper and other related ecosystem of projects. He was also a committer on Spring XD. Prior to joining Spring team, he worked on products such as vFabric App Suite, Cloud Foundry, and Hyperic at VMware. He also worked as a software QA Engineer at Upromise and Wipro Technologies.
Blog Posts by Ilayaperumal Gopinathan

Spring Cloud Data Flow 2.0.2 GA Released

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

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Spring Cloud Data Flow 2.0.1 GA Released

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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Composed Function Support in Spring Cloud Data Flow

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 Spring Cloud Stream framework.

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Spring Cloud Skipper 1.1.0.M1

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 format.

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