It's my pleasure to announce that Spring REST Docs 1.1.1.RELEASE is available from Maven Central, JCenter, and our release repository. My thanks to everyone who contributed to this release by reporting bugs and opening pull requests.
This maintenance release includes a number of bug fixes and is a recommend upgrade for all Spring REST Docs users.
It is my pleasure to announce that the Spring AMQP 1.6.1 maintenance release is available now.
As usual, thanks to the community for any feedback and contribution all the ways!
This release contains several critical bug fixes, therefore an upgrade is highly recommended.
We haven’t switched master branch to 2.0 yet, but that is really our intention in the nearest future to start enjoying a new Spring 5.0 and Java 8 foundation for Spring AMQP project code base!
We are pleased to announce the release of Spring Cloud Data Flow's Kubernetes 1.0.0.RELEASE.
Spring Cloud Data Flow for Kubernetes provides support for orchestrating long-running (streaming) and short-lived (task/batch) data microservices on Kubernetes.
This project was originally conceptualized by the community and we are thankful to Florian Rosenberg for his early contributions that eventually made it into the official Spring Cloud Deployer for Kubernetes project. Building upon this theme, we recently bumped into Donovan Muller's blog, where he walks through his experience extending the…
We are looking forward to Reactor and Cloud Foundry Java Client’s RC and GA releases and by this month, we shall release 1.0.0.RELEASE of Spring Cloud Data Flow for Cloud Foundry.
We have exciting work-in-progress to orchestrate short-lived microservices through TaskLauncher constructs in the Spring Cloud Deployer for Cloud Foundry project. We are hopeful to deliver the BETA release of this functionality alongside the upcoming Pivotal Cloud Foundry’s 1.7.x release.
On behalf of the team, I’m excited to announce the 1.0 GA release of Spring Cloud Data Flow!
Note
A great way to start using this new release is to follow the Getting Started section of the reference documentation. It uses a Data Flow server that runs on your computer and deploys a new process for each application.
Spring Cloud Data Flow (SCDF) is an orchestration service for data microservices on modern runtimes. SCDF lets you describe data pipelines that can either be composed of long lived streaming applications or short lived task applications and then deploys these to platform runtimes that you may already be using today, such as Cloud Foundry, Apache YARN, Apache Mesos, and Kubernetes. We provide a wide range of stream and task…
Spring Cloud Data Flow for Apache YARN provides support for orchestrating long-running (streaming) and short-lived (task/batch) data microservices on Apache YARN.
This project was originally conceptualized with the goal to supplement the existing Spring XD users who have investments running streaming and batch data pipelines in a more traditional bare-metal setup. We wanted to provide migration path to help port over their existing investments and the tools and techniques to reap the benefits of…
It is my pleasure to announce that the Spring for Apache Kafka 1.0.2 maintenance release is available now.
As usual, thanks to the community for any feedback and contribution all the ways!
This release contains several critical bug fixes, therefore an upgrade is highly recommended. The master branch has now switched to 1.1 and we are starting migrating to Kafka 0.10 and other features on the matter with possible Milestone 1 later this month.
We are pleased to announce the release of Spring Cloud Task 1.0.1.RELEASE. This is the recommended GA release for Spring Cloud Task and is available from Maven Central as well as the usual other locations.
How did we get here?
Spring Cloud Task, is a step in an evolution of data applications in the Spring portfolio. As we announce this release, it may be helpful to look at how we got to this point.
It began with Spring Batch
Built upon the Spring portfolio, the evolution of this type of finite workload really began with Spring Batch. One of the main workload specific extensions of the Spring framework, Spring Batch provided functionality for performing finite amounts of processing in an enterprise friendly way. With multiple processing models (Tasklet vs Chunk) as well as scalability options that allowed for…