We are extremely pleased to announce that Spring Integration 3.0.0.RC1 is now available in the Spring Milestone Repo

This release uses Spring Framework 3.2.5 by default but is also compatible with Spring 3.1.x and 4.0.x.

The release notes, showing changes since milestone 3, are available here.

##First, a Note About Spring Framework 4 Support

Spring Framework 4.0 has a new spring-messaging module that contains a number of key abstractions from Spring Integration.

Spring Integration 3, while being compatible with Spring Framework 4, does not depend on it, and does not use these classes, so that it can also be used with Spring Framework 3.2 and 3.1.

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Welcome to another installment of This Week in Spring! This week I'm in Gothenburg, Sweden talking to developers at the JDays 2013 conference about Spring. What a great crowd and a great reception. It's been a blast, but I'm headed home soon to scarf down some turkey with friends and family! If you celebrate the US Thanksgiving holiday, let us be the first to wish you a very happy holiday!

1. Spring Batch lead Michael Minella has announced that Spring Batch 2.2.3 is now available!

• Spring Data lead Oliver Gierke has announced the first milestone of the next Spring Data release train named Codd. This release welcomes two new members to the train: the Spring Data Solr community project as well as Spring Data REST. Awesome!
• Dr. Mark Pollack's session introducing Spring XD from QCon SF 2013 is now available! (This is the first thing I watched out of all the content in this week's roundup. It's awesome!)
• Did you miss the webinar - Dynamic Routing at 1 Million Messages per Second with Spring Integration - that Incept 5 CEO and technology rockstar John Davies and I put on last week? Have no fear, it's online now for your consumption…

We are pleased to announce that Spring Batch 2.2.3.RELEASE is now available via Maven Central, Github and the SpringSource download repository. This is the 3rd maintenance release for the 2.2.x branch of Spring Batch and addresses a number of bugs and documentation updates. Many thanks to all of those who submitted the many pull requests that went into this release.

Spring Batch Home | Source on GitHub | Reference Documentation

We look forward to your feedback in the forum and issue tracker.

We are glad to announce that we will host a free conference about Spring and Cloud Foundry on Sunday November 24th at the office of SpringPeople in Bangalore, from 10.00 AM to 12.30 PM.

You can register by clicking here, make sure to register in time since we have limited seats available for this free event.

The event sessions include:

• Cloud Foundry: Using Spring to Deploy your Apps to the Cloud by Paul Chapman

Paul Chapman is a Senior Consultant within our Australian service delivery division, where he undertakes consulting, training and mentoring of our clients across Asia-Pacific. He…

I am happy to announce the first milestone of the next Spring Data release train named Codd. We welcome two new members to the train: the Spring Data Solr community project as well as Spring Data REST. We've fixed 109 tickets for this first milestone. The full list of participating modules looks as follows:

• Spring Data Build 1.3 M1 - Changelog
• Spring Data Commons 1.7 M1 - Artifacts - JavaDoc - Documentation - Changelog
• Spring Data JPA 1.5 M1 - Artifacts - JavaDoc - Documentation - Changelog
• Spring Data MongoDB 1.4 M1 - Artifacts - JavaDoc - Documentation - Changelog
• Spring Data Neo4j 3.0 M1 - Artifacts - JavaDoc - Documentation - Changelog
• Spring Data Solr 1.1 M1 - Artifacts - JavaDoc - Documentation - Changelog
• Spring Data REST 2.0 M1 - Artifacts - JavaDoc - Documentation - Changelog
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Presenter: Josh Long, Pivotal

A brief (20 minute) interview with Josh Long doing some live hacking with Spring Boot, Spring MVC and Groovy. Check out the live hack - creating a simple, paramaterized RESTful service. Check out Josh as he struggles (and wins) versus a UK-layout to secure the service endpoints, adds basic monitoring and metrics, and accesses the remote service via SSH.

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Presented at QCon 2013 in San Francisco, CA

Speaker: Mark Pollack

Slides: http://qconsf.com/system/files/presentation-slides/Introducing%20Spring%20XD.pdf

Developing Big Data applications is a relatively new art and developing a comprehensive solution can be challenging. Some of the key challenges arise from bringing together complex domains such as stream analysis, batch workflow orchestration and data import and export. Several open source projects that address developing big data applications have emerged in the past few years but each project typically only address one of these domains. Furthermore, being distinct independent projects they have different configuration and extensibility models. Spring XD is a new project that aims to tackle big data complexity. It builds upon proven Spring technologies and provides a scalable runtime environment that is easily configured and assembled via a simple DSL. Come discover how easy it is to create big data applications in this introduction to Spring XD.

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Presenter: Josh Long, Pivotal and John Davies, C24

While some of today's systems can hit μSec performance it usually take a lot of good design and optimization. The solution is often hard-baked and inflexible and the end user still wants the flexibility promised by ESBs with dynamic routing based on runtime rules with transformations from one format to another. Josh and John will walk you through the latest in high performance message handling with Spring Integration covering non-XML (binary and CSV) data, code generation, on-the-fly compilation, dynamic routing and in-memory queries - an hour well spent.

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For 2014 Pivotal is launching a new training around Apache Hadoop and Pivotal HD. Pivotal HD Enterprise offers the capabilities of Apache Hadoop in a fully supported, enterprise-ready distribution. This new comprehensive training will provide competent Java Developers with the skills necessary to exploit the extended Capabilities of Pivotal HD, “The world’s most powerful Apache Hadoop distribution”. The training commences with a grounding in the relevant core technologies:

• Big/Fast data, NoSQL, and their role in modern Business applications
• Background on Hadoop and the significance of the Pivotal HD distribution
• Introduction to GemFire and SQLFire, distributed cache technologies
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