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

Dear Spring community,

We are pleased to announce that the Spring Integration Kafka Support 1.1 GA is now available. Use the Release Repository with Maven or Gradle

compile "org.springframework.integration:spring-integration-kafka:1.1.1.RELEASE"

or download a distribution archive, to give it a spin.

Overview

The main reason of such a quick next point release just after 1.0 GA is to address a number of critical fixes for the upcoming Spring XD 1.1.1 and 1.2 releases. In addition, this release provides performance improvements around message generation streaming scenarios, which required an upgrade to Spring Integration 4.1, which is…

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 In particular, we recommend an upgrade from the superseded 4.0.x line as well.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…

Welcome to another installment of This Week in Spring! This week, I'm in São Paulo, Brazil, where I presented a workshop on building cloud-native applications - specifically microservices - with Spring Boot, Spring Cloud and Cloud Foundry (via Pivotal Web Services).

• Spring Data lead Oliver Gierke has just announced Spring Data Fowler has gone GA, packed with lots of advanced Java 8 features, as well!
• The agenda for the Spring IO show in Barcelona, Spain is now available! Check it out!
• Done with the microservices hype? Then let's get practical on April 21st. I'll be talking about how Spring Cloud integrates service registration (e.g.: Eureka, Consul, or Zookeeper), declarative REST clients (with Netflix's Feign), reactive programming and the circuit breaker pattern with Hystrix to support easy, robust service-to-service invocations.
• Marius Bogoevici and Mark Pollack are teaming up for a webinar on Tues April 28th about Reactive data-pipelines with Spring XD and Kafka…

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.

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.

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. 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