On behalf of the community, I'm pleased to announce the release of Spring Session 1.1.0.RELEASE. The release can be found in Maven Central.

Change Log

With over 80 issues resolved, there is plenty found in this release. You can find a complete list of changes in the change logs (1.1.0.M1, 1.1.0.RC1, 1.1.0.RELEASE). A summary of the changes can be found below:

• Support for Hazelcast. Thanks @_mark_a and @tommyludwig!
• Support for GemFire Thanks to John Blum!
• Support for search for session by username
• Support Customize Cookie Creation. Thanks to everyone who provided PRs and feedback for this feature!
• Add HttpSessionListener support
• Allow override default RedisSerializer
• Performance improvements
• Allow scoping the session in Redis using redisNamespace. Thanks fstegmann!
• Allow writing to Redis immediately (instead of lazily) using redisFlushMode
• Add ExpiringSession.setLastAccessedTime(long)
…

Today we are pleased to announce the general availability of Spring XD 1.3.1 and Flo for Spring XD 1.0.1

• Spring XD 1.3.1 GA: zip, brew and rpm.
• Flo for Spring XD 1.0.1 GA: zip.

Here are some highlights of bug fixes and general improvements. Consult the JIRA release notes for the full list of issues fixed.

• Support for encryption in XD configuration files
• Support for Kafka sync or async producers
• Fix for Embedded Headers Message Converter Buffer Overflow
• Update default redis pool settings to have no limit on number of active connections
• Upgrade to Spring Integration 4.2.5, Spring Framework 4.2.5, Spring AMQP 3.6
…

In preparation of a Spring Boot service release on the horizon, I am pleased to announce the fourth service release of the Spring Data release train Gosling. As usual, service releases contain bugfixes — 45 in total this time —, so that an upgrade is highly recommended.

• Spring Data Commons 1.11.4 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data JPA 1.9.4 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Cassandra 1.3.4 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Solr 1.5.4 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Gemfire 1.7.4 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Neo4j 3.4.4 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data MongoDB 1.8.4 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data KeyValue 1.0.4 - Artifacts - JavaDocs - Documentation - …

Welcome to another installment of This Week in Spring! We're already staring down the last weeks of February!

• Spring Data lead Oliver Gierke has just announced Spring Data Gosling SR4 containing 45 bugfixes. Get it while it's hot!
• Want to learn more about Spring Data Gosling? Check out this replay of Spring Data lead Oliver Gierke's introduction too the new bits
• the first milestone of Spring Integration 4.3, the last in the 4.x series, has arrived! Lots of small new features to tide you over before Spring framework 5 and the reactive support there become the baseline for Spring integration 5
• Let's hear it for women in tech! Ludwine Probst & Ilayaperumal Gopinathan bring you this SpringOne2GX 2015 replay: …

Recorded at SpringOne2GX 2015 Presenter: Sergi Almar Web /Javascript Track Slides: http://www.slideshare.net/SpringCentral/from-zero-to-hero-with-spring-websocket

Real-time has changed the way we interact with the web, we demand information in real-time. Join Sergi Almar in this presentation to learn how to progressively enhance your traditional Spring MVC application with real-time functionalities for a more interactive and engaging user experience. Starting by adding server push notifications with Server-sent Events (supported in the new Spring 4.2) we will move to a bidirectional…

Recorded at SpringOne2GX 2015 Presenters: Ludwine Probst & Ilayaperumal Gopinathan Big Data Track Slides: http://www.slideshare.net/SpringCentral/apache-spark-for-big-data-processing

Today, we live in the world of Big Data. Hadoop and MapReduce are highly dominant in the domain of large scale data processing. However, the MapReduce model shows its limits for various types of treatment, especially for highly iterative algorithms frequently encountered in the field of Machine Learning.

Spark is an in-memory data processing framework that, unlike Hadoop, provides interactive and real-time…

Recorded at SpringOne2GX 2015 Presenter: Rob Winch Core Spring Track Slides: http://www.slideshare.net/SpringCentral/hands-on-spring-security-41

It can be complicated learning the ins and outs of any technology stack. When this complexity is compounded by needing to understand how to secure our applications, it can be daunting.

In this talk we will discuss how to rapidly and correctly apply Spring Security to an existing application. Along the way we will demo security exploits and see how to mitigate them, answer frequently asked questions, and learn established best practices.

Whether you…

Save 39% on Craig Walls's epic book with this new promotion from Manning!

"It's with equal parts excitement and passion that I absolutely endorse Spring Boot in Action as the easy-to-digest and fun-to-read Spring Boot documentation the Java community has been waiting for. Craig's accessible writing style and sweeping analysis of Boot's core features and functionality will surely leave readers with a solid grasp of Boot (along with a joyful sense of awe for it)."

• Andrew Glover, Manager, Delivery Engineering at Netflix

Spring Boot in Action is a developer-focused guide to writing applications using Spring Boot. You’ll learn how to bypass configuration steps so you…

Speaker: Oliver Gierke Slides: http://www.slideshare.net/SpringCentral/whats-new-in-spring-data-53300373 A year has passed and the Spring Data shipped two release train iterations packed with interesting features. This talk will give a broad overview of the most important introduced in the Fowler and Gosling release trains. We will cover recent additions and improvements in Spring Data Commons - the module that's shared amongst the store specific ones. We'll then delve into the latest and greatest features of individual store modules, like JPA, MongoDB and the community ones as well.