Spring IO Platform Athens RC1

It’s my pleasure to announce that Spring IO Platform Athens-RC1 is available now from the Spring milestone repository.

This release is the first to adopt a new alphabetical versioning scheme similar to those already used by Spring Cloud and Spring Data. The theme for the Platform’s versions is world cities.

The Athens release upgrades the versions of a number of projects:

  • Spring Framework 4.3
  • Spring AMQP 1.6
  • Spring Boot 1.4
  • Spring Data Hopper
  • Spring Hateoas 0.20
  • Spring Integration 4.3
  • Spring LDAP 2.1
  • Spring REST Docs 1.1
  • Spring Security 4.1
  • Spring Session 1.2
  • Spring Web Services 2.3
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Spring Cloud Task 1.0.2.RELEASE is now available

We are pleased to announce that Spring Cloud Task 1.0.2.RELEASE is now available via Maven Central, Github and the Pivotal download repository. This release provides some minor enhancements including persisting of the completion of a task when terminated by an external signal. Many thanks to all of those who contributed to this release.

Spring Cloud Task Home | Source on GitHub | Reference Documentation

We look forward to your feedback in Github, StackOverflow, to me directly via Twitter @michaelminella or at SpringOnePlatform next week!

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Webinar Replay: Introducing Spring Cloud Task

Speaker: Michael Minella, Pivotal
One of the major promises of the cloud is that of flexibility. Today, most applications deployed to the cloud are long running processes that use the flexibility of cloud scaling. But computing is full of short lived tasks that start up, do their work, and then terminate. These tasks are excellent cloud use cases since resources can quickly be provisioned - and reclaimed.

In this webinar, we’ll explore a new project in the Spring Cloud portfolio, Spring Cloud Task, a new framework for developing and orchestrating short-lived microservices. We’ll explore various use cases, build your first task, and discuss how to orchestrate tasks using various techniques. Finally, we’ll peek into the roadmap for the Spring Cloud Task project.

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Spring IO Platform 2.0.7.RELEASE

I am pleased to announce that Spring IO Platform 2.0.7.RELEASE is now available from both and Maven Central.

This maintenance release upgrades the versions of a number of the projects in the Platform:

  • Spring Boot 1.3.7.RELEASE
  • Spring Integration 4.2.9.RELEASE
  • Spring Web Flow 2.4.4.RELEASE

The versions of a number of third-party dependencies have also been updated.

Project Page | GitHub | Issues | Documentation

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Spring Cloud Data Flow for Apache YARN 1.0.1 released

We are pleased to announce the release of Spring Cloud Data Flow for Apache YARN 1.0.1.RELEASE.

Spring Cloud Data Flow for Apache YARN provides support for orchestrating long-running (streaming) and short-lived (task/batch) data microservices on Apache YARN.

Apart from usual minor fixes, we have worked on the following themes.

  • Support for kerberos and integration to automated ambari kerberos setup.
  • Support for HDFS HA Namenode setup.
  • New extension to dataflow-shell adding hadoop fs basic commands.

For a complete list of changes and improvements, please refer to
1.0.1.RELEASE server release, 1.0.1.RELEASE deployer release, 1.0-2.RELEASE rpm release and 1.0-2.RELEASE ambari plugin release.

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Spring Boot 1.4 released

One behalf of the Spring Boot team, and everyone that has contributed, I am pleased to announce that Spring Boot 1.4.0 has been released and is available now from, Maven Central and Bintray. This release adds a significant number of new features and improvements and builds on the latest release of the Spring Framework. For full upgrade instructions and “new and noteworthy” features please see the release notes.

Here are some of the highlights of v1.4:

Startup failure message

Spring Boot will now perform analysis of common startup failures and provide useful diagnostic information rather than simply logging a stack trace. For example, if you have a port clash, you’ll now see the following message:

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Reactive Programming with Spring 5.0 M1

As Juergen mentioned in his Spring Framework 5 M1 release announcement our Spring Reactive initiative has been merged into Spring Framework proper preserving all contributions and its full history over more than a year.

What is it?

In a nutshell reactive programming is about non-blocking, event-driven applications that scale with a small number of threads with backpressure as a key ingredient that aims to ensure producers do not overwhelm consumers. The Reactive Streams specification (also adopted in Java 9) enables the ability to communicate demand across layers and libraries from different providers. For example an HTTP connection writing to a client can communicate its availability to write all the way upstream to a data repository fetching data from a database so that given a slow HTTP client the repository can slow down too or even pause. For a more extensive introduction to reactive programming check Dave Syer’s multipart series “Notes on Reactive Programming”.

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Spring Framework 5.0 M1 released

Dear Spring community,

It is my pleasure to announce that the first Spring Framework 5.0 milestone is available now: Check for how to obtain it from our milestone repository, and give it a spin while it’s hot!

Find out about the 5.0 M1 changes on our What’s New wiki page or in more detail on JIRA. Follow our master branch on GitHub for the latest updates.

Most importantly, our Spring Reactive initiative has been merged into Spring Framework proper, with core reactive functionality and reactive web endpoint support available out of the box now. Stay tuned for Rossen’s blog post on our reactive programming story in 5.0 M1!

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Spring Data Release Train Ingalls M1 Released

On behalf of the Spring Data team, I’m happy to announce the first milestone of the Ingalls release train. The release ships 230 tickets fixed! The most noteworthy new features are:

  • Use of method handles for property access in conversion subsystem (Commons, MongoDB).
  • Upgrade to Cassandra 3.0 for Spring Data Cassandra (see the updated examples for details).
  • Support for declarative query methods for Cassandra repositories.
  • Support for Redis geo commands.
  • Any-match mode for query-by-example.
  • Support for XML and JSON based projections for REST payloads (see the example for details)
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