I'm pleased to announce the release of Spring Security 4.0.0.RELEASE which closes over 175+ tickets. You can find the highlights below:

WebSocket Support

Spring Security 4 added WebSocket Support. It is now possible to use Spring Security with Spring's WebSocket support.

Spring Data Integration

Spring Security 4 added Spring Data Integration. It is now possible to refer to Spring Security's user within Spring Data queries using SpEL.

Test Support

Spring Security 4 has added Test Support. It is now much easier to write tests with Spring Security applications.

More Secure by Default

As exploits…

The GA release of Spring Data release train Fowler marks the finishing line of 6 month of development. It's time to give you an impression of the content of this release and a brief overview about individual features. The major themes of the Fowler release train were performance improvements and enhanced Java 8 support that are mainly reflected in the Spring Data JPA and MongoDB modules but a lot of other ones have seen significant improvements, too.

The easiest way to upgrade to the Spring Data Fowler release train is by using Spring Boot and configuring the spring-data-releasetrain.version property to Fowler-RELEASE. If you're not using Spring Boot yet, add the Spring Data BOM to your <dependencyManagement />…

I'm pleased to announce the release of Spring Security 3.2.7.RELEASE. This release brings a number of bug fixes including a fix for a regression in the Active Directory support.

Project Site | Reference | Guides | Issues

On behalf of the Spring XD team, I am very pleased to announce the
first maintenance release of Spring XD 1.1.

Download Link: 1.1.1.RELEASE: zip and brew.

The 1.1.1 release includes bug fixes and some enhancements. The full list of tickets is available in our JIRA.

Here are some highlights.

• Improved performance and offset management when using Kafka message bus.
• Support for Spark Streaming's reliable receiver.
• Kryo serialization improvements.
• Option to clean up Rabbit queue/topics when deleting the stream.
• Add a Sqoop example

Feedback is very important, so please get in touch with…

Dear Spring community,

It’s my pleasure to announce that Spring Framework 4.1.6 is available now. This is almost exclusively a bugfix release and therefore a strongly recommended upgrade for all current 4.x users. In particular, we recommend an upgrade from the superseded 4.0.x line as well.

Release Notes | Project Page | GitHub | Issues | Documentation

Spring Framework 4.1.6 is also the first release to be formally compatible with the recently released JDK 8 update 40. Spring 4.1.x supports a wide range of Java runtimes now, from 2010-era JDK 6 variants up until the latest 2015-era JDK…

Recorded at SpringOne2GX 2014. Big Data in Memory

Speaker: John Davies, C24

Big Data Track

Slides: http://www.slideshare.net/SpringCentral/spring-one2gx-2014-john-davies-41130273

OK so everyone’s into big data but they’re usually talking about persistence, disk or more recently SSD, how about memory? We could simply add a few terabytes of RAM but even at $100 per GB that’s going to cost a LOT. What if we could reduce the size of the data by 50 fold and effectively bring the cost RAM down towards cost of disk? Keep Spring Integration, Spring Batch, GemFire in-memory cache, RabbitMQ messaging but reduce your data down to binary, yes bits and bytes rather than objects. Less garbage, less network overhead, same APIs but big-data in memory. John will show a Spring work-flow consuming 7.4kB XML messages, binding them to 25kB Java but storing them in just 450 bytes each, 10 million derivative contracts in-memory on a laptop.

Learn more about Spring XD: http://projects.spring.io/spring-xd

Learn more about Spring Integration: http://projects.spring.io/spring-integration

Learn more about Spring Batch: http://projects.spring.io/spring-batch

Recorded at SpringOne2GX 2014.

Speakers: Derek Beauregard, Phil Berman, Michael Minella, Darrel Sharpe

Big Data Track Slides: http://www.slideshare.net/SpringCentral/iot-realized-the-connected-car

For this session we will explore the power of Spring XD in the context of the Internet of Things (IoT). We will look at a solution developed with Spring XD to stream real time analytics from a moving car using open standards. Ingestion of the real time data (location, speed, engine diagnostics, etc), analyzing it to provide highly accurate MPG and vehicle range prediction, as well as providing real time dashboards will all be covered. Coming out of this session, you’ll understand how Spring XD can serve as “Legos®” for the IoT.

Learn more about Spring XD: http://projects.spring.io/spring-xd

Learn more about Spring Integration: http://projects.spring.io/spring-integration

Learn more about Spring Batch: http://projects.spring.io/spring-batch

Recorded at SpringOne2GX 2014.

Speaker: Peter Ledbrook

Core Groovy Track

Slides: http://www.slideshare.net/SpringCentral/groovy-forjavadeveloperss2gx2014

Java is a good all-purpose programming language, but does that mean it's the best tool for all jobs?

Recorded at SpringOne2GX 2014.

Speaker: Colin Harrington

Core Groovy Track

Slides: http://www.slideshare.net/SpringCentral/groovybrowserautomation-2gx2014

GEB (pronounced 'jeb') is a browser automation solution. It brings together the power of WebDriver, the elegance of jQuery content selection, the robustness of Page Object modelling and the expressiveness of the Groovy language.