I'm pleased to announce the release of Spring Security 3.2.4. This release includes a number of bug fixes. To view a list of changes see the changelog.

Reference | Javadoc | Guides

Dear Spring community,

It's my pleasure to announce that Spring Framework 4.0.5 and 3.2.9 have been released. Both of those are designed as a final feature release in the respective line - we will only consider further releases from the 4.0.x and 3.2.x branches in case of serious bugs now.

http://projects.spring.io/spring-framework/

Spring Framework 3.2.9 comes with a repackaged ASM 5.0.2 and is therefore capable of basic Java 8 bytecode processing. However, specific Java 8 feature support - JSR-310 date-time, repeatable annotations, etc - is exclusive to the Spring Framework 4.x line.

SPR…

Hot on the heels of the Spring 3.2.9 and 4.0.5 releases, I am pleased to announce the availability of the GA release of the Spring Data release train named Dijkstra.

We're happy to welcome 5 new modules to the release train: Elasticsearch, Cassandra, Couchbase, Gemfire and Redis. Two of them even celebrate their first GA version ever. So I'd like to send special congratulations and thanks to the project leads Mohsin Husen for Spring Data Elasticsearch and David Webb as well as Matthew Adams for Spring Data Cassandra.

Here's the full list of participating modules:

• Spring Data Commons 1.8 GA - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data JPA 1.6 GA - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data MongoDB 1.5 GA - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Neo4j 3.1 GA - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Solr 1.2 GA - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Couchbase 1.1 GA - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Cassandra 1.0 GA - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Elasticsearch 1.0 GA - Artifacts - JavaDocs - Documentation - …

Recorded at SpringOne2GX 2013 in Santa Clara, CA

Speaker: Zhiyong Li

SAS® Institute has a large portfolio of Java EE applications. SAS had previously provided support to deploy and run all of these applications in WebLogic, WebSphere and JBoss. Beginning with SAS 9.4, which was released in July 2013, SAS updated its infrastructure and middle tier platform to deliver and run on Pivotal tc Server. In this talk, we will discuss the motivation, technology selection, architecture, system administration, automated installation and configuration, etc., that SAS used to improve value for its customers. Specifically, we will discuss the following areas in detail:

• Technology selection: To make tc Server viable, we include the messaging, caching and the transaction management system.
• Architecture: To leverage tc Server scalability and reliability in SAS products, we support clustering by using the Pivotal Web Server and the mod_proxy. Application migration: We provide guidance to our Java developers and configuration developers on how to migrate their applications to the tc Server environment.
• Security: We support SSL, single sign-on and other enterprise security protocols such as Integrated Windows Authentication, CA Site Minder, IBM Web Seal, SAML, etc.
• System administration: We provide a single entry point to manage all SAS application stacks including all web applications by leveraging the Hyperic product.
• Automated installation / configuration: We provide the automated process to install and configure Hyperic and all Pivotal Application Fabric products (tc Server, vFWS and GemFire) and SAS web applications.
• Delivery and support: SAS delivers embedded tc Server as the SAS Web Application Server for use with all our offerings with a midtier on all our supported host platforms. This enables SAS to provide complete supported application architecture with more complete visibility and control of the critical software.
• Cloud deployment: This approach also provides advantages for our customers leveraging virtualization and cloud deployment strategies.

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Recorded at SpringOne2GX 2013 in Stana Clara, CA

Speakers: Emad Benjamin and Guillermo Tantachuco

The session will cover various GC tuning techniques, in particular focus on tuning large scale JVM deployments. Come to this session to learn about GC tuning recipe that can give you the best configuration for latency sensitive applications. While predominantly most enterprise class Java workloads can fit into a scaled-out set of JVM instances of less than 4GB JVM heap, there are workloads in the in memory database space that require fairly large JVMs. In this session we take a deep dive into the issues and the optimal tuning configurations for tuning large JVMs in the range of 4GB to 128GB. In this session the GC tuning recipe shared is a refinement from 15 years of GC engagements and an adaptation in recent years for tuning some of the largest JVMs in the industry using plain HotSpot and CMS GC policy. You should be able to walk away with the ability to commence a decent GC tuning exercise on your own. The session does summarize the techniques and the necessary JVM options needed to accomplish this task. Naturally when tuning large scale JVM platforms, the underlying hardware tuning cannot be ignored, hence the session will take detour from the traditional GC tuning talks out there and dive into how you optimally size a platform for enhanced memory consumption. Lastly, the session will also cover vfabric reference architecture where a comprehensive performance study was done. Learn more about

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Speaker: Pieter Humphrey

Creating a stream of live twitter data for an analytics dashboard using Spring XD, a JavaScript D3 component / Spring XD's REST API.

Source code:https://github.com/spring-projects/spring-xd-samples/tree/master/analytics-dashboard

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

Learn more about Spring for Apache Hadoop: http://projects.spring.io/spring-hadoop

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Speaker: Gary Russell

The Spring Integration team has been hard at work on the latest release of the popular integration framework. Before version 4.0, it was impractical to define a complete Spring Integration flow without using XML. With this major release, the existing basic annotation support has received an overhaul and those who prefer to use java @Configuration classes can now define their applications without needing to use any XML (of course, XML is still supported as well). In this session we will cover these major changes to the framework, explaining how and when to use them. It will be mainly demonstration and code walk through, and we will build a useful Spring Boot / Integration application from scratch.

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

Learn more about Spring Boot at http://projects.spring.io/spring-boot

Learn more about Spring Framework at http://projects.spring.io/spring-framework

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The first milestone release for Spring Boot 1.1.0 is available now in the Spring milestone repository.

Highlights include:

• Additional templating support.
• Improved metrics and health endpoints.
• Additional data integrations (including improved MongoDB support and support for GemFire).
• A host of minor improvements and additions.
• Updated dependencies for many third-party libraries.

See the release notes for a complete list of new and noteworthy features.

We'd appreciate any feedback from existing Spring Boot 1.0 users. If you are upgrading, be sure to follow the instructions from the release notes…

Welcome back to another installment of This Week in Spring! This week I'm in Krakow, Poland for Geecon, the Polish developer conference where, of course, I'll be speaking to developers about Spring. (and, maybe, Spring). If you're around, find me, I'll be wearing the giant Spring leaf t-shirt! :)

Other than that, there's a lot to get through so let's get to it!

• In preparation for the upcoming Spring IO Platform, Spring Data release train Dijkstra has been released! This is a tremendous release train that includes: JPA, MongoDB, Neo4J, Apache Solr, Couchbase, Cassandra, Elasticsearch, Gemfire, Redis and Data REST! Congrats to the Spring Data Team!
• Spring Boot 1.1.0 M1 is now available and introduces MongoDB and Gemfire support, as well as improved actuator metrics and health endpoints.
• Final maintenance releases for the Spring Framework 3.2.x and 4.0.x versions are now available!
• Spring Integration ninja (rockstar!) Artem Bilan put together a nice post introducing all the amazing Java configuration support in the nascent Spring Integration Java configuration DSL, which builds upon the basic @EnableIntegration support available in the just-released Spring Integration 4.0. You should read that post. Seriously. I want to steal some of Artem's thunder by excerpting this one amazing code-snippet:

  java @Bean IntegrationFlow helloWorldFlow() { return IntegrationFlows.from("helloWorldInput") .filter("World"::equals) .transform("Hello "::concat) .handle(System.out::println) .get(); } Yep! That's a Spring Integration flow that handles input messages, filters them, transforms them, and then gives them to the escape-hatch method, handle, which lets the developer insert any behavior into the mix. Remember, you can change anything about this - including where it gets the messages from and where it writes the messages to. Indeed, the output of one flow could be the input to another. Congratulations, Spring Integration team! Also, make sure to check out the launch webinar replay!

• I know I mentioned this last week, but it's so worth a re-read! Groovy 2.3.0 is here! (Hah! Gotcha! This week's link was to a different post by the same author on the subject of the Groovy 2.3.0 release! But aren't you glad you read it, anyway?) Go, Groovy, go!
• My pal Pieter Humphrey has done a nice introductory screencast on Spring XD - showing how to get up and running doing stream processing, and wiring it to an analytics dashboard in less than 7 minutes. XD uses a deceptively simple DSL (domain specific language) and no Java code - it's never been easier to work with Hadoop.
• Spring Security lead Rob Winch has been moving heaven and earth to make unit-testing secure applications easier than ever. In this first installment of a new series, Rob looks at new annotations designed to stand in place of a live-fire Spring Security apparatus to mock a Principal, a UserDetailsService, and more. Check it out and stay tuned for more!
• Speaking of Rob Winch, he gave an epic introduction to Spring Security at SpringOne2GX 2013 last year. This is a perfect place to jump onboard if you're new to Spring Security.
• New Relic's Ashley Puls was kind enough to do a webinar with your humble author on Web Application Diagnostics using New Relic. Thanks, Ashley! I'll be very honest, this webinar was super informative for me. I knew just a little about New Relic, and in working through the development of the webinar I learned about a zillion and five use cases that are well served by New Relic. Really cool stuff!
• Also published this week - a SpringOne2GX 2013 Replay by Emad Benjamin and Guillermo Tantucho: Virtualizing and Tuning Large Scale Java Platforms. This goes over JVM memory tuning and all the tricks and tips for getting Java to run well on a virtualized environment.
• SpringOne2GX 2013 replay - a great talk from SAS Software: Migrating from WebLogic, WebSphere, JBoss to Pivotal tcServer. This might go well with a recent post on why App Servers are dead by Eberhard Wolff.
• Do you love Spring's new home on the web, spring.io, as much as I do? Want to learn more? Check out this talk by project lead and Spring ninja Chris Beams on the makeup of the site, its development, and deployment.
• Last week, Spring Data Neo4j lead and graph-ninja Michael Hunger and I gave a talk on Spring Boot and Neo4j. This talk was fun for me because it gave me a lot of excuses to play with Neo4j. In point of fact, Michael and I are doing a webinar on about the same subject on the 20th of May (that's 7 days away!), so come see what we've come up with. In the meantime, you may want to check out this recent post on creating a time-tree with Cypher, the language that Michael works on that's used to drive interactions with Neo4j. That post was, of course, a response to another post that Michael put together on importing forests into Neo4j, also worth a read!
• I quite liked this post introducing how to setup a Spring Batch job using Spring Boot. The author found a comfortable configuration-middle ground in the Groovy BeanBuilder support, and describes it nicely in this post
• Moritz Schulze has put together a very nice post, following others in the series, on how to integration test REST services
• Are you using Spring Boot and want to use Spock? Netflix engineer Tomas Lin has put together an example on his GitHug page. Check it out!
• Jakub Kubrynski has put together a nice post on how to use Spring Boot's org.springframework.boot.actuate.system.ApplicationPidListener (which Jakub contributed - thanks Jakub!) - to work with the application's process identifier (PID). Nice!
• Meltdown 1.0.0 has been released! Meltdown is a Clojure interface to the Reactor project. So... functional programming and stream processing inside a lisp-like language? A dream! Check it out!