Spring Integration Kafka 1.2 is available, with 0.8.2 support and performance enhancements

Releases | Marius Bogoevici | June 19, 2015 | ...

We are pleased to announce the release of Spring Integration Kafka 1.2.

This new release provides a couple of major improvements and upgrades over the previous versions:

  • Support for Apache Kafka 0.8.2 and using the new Producer API;
  • Overhaul of the internal concurrent dispatching with a non-blocking ring buffer implementation based on Project Reactor.

For each of the changes, the goal was to improve the performance of the producer and, respectively, consumer components of Spring Integration Kafka. While we do not have any isolated benchmarks for Spring Integration Kafka proper, the enhancements of the release have contributed to the performance metrics reported in the newly released Spring XD 1.2

Spring Guides Move to Java 8

Engineering | Greg L. Turnquist | June 17, 2015 | ...

Perhaps you've noticed some recent articles lately?

Okay, those last two aren't articles, but were instead driven by the the rapid adoption of Java 8. Java 8 has been picked up by the development community FAST. Here on the Spring team, we believe strongly in adopting Java 8 for new applications. To support that and improve your own ability to move as well, we just updated all of the Spring Getting Started Guides

DevTools in Spring Boot 1.3

Engineering | Phil Webb | June 17, 2015 | ...

Spring Boot 1.3 will ship with a brand new module called spring-boot-devtools. The aim of this module is to try and improve the development-time experience when working on Spring Boot applications.

To use the module you simply need to add it as a dependency in your Maven POM:


or your Gradle build file:

dependencies {

Once included, the spring-boot-devtools module provides a number of nice features that we cover below (If you can't be bother to read the text, skip to the end of the post for a short video…

Spring XD Benchmarks Part 1

Engineering | Glenn Renfro | June 16, 2015 | ...


A common question when developing streaming applications is, “How many events per second can you process?”. The primary purpose of this blog post is to answer that question without falling into the classic benchmarking conundrum of benchmarking versus "benchmarketing". The common approach with 'native' benchmarking applications provide by messaging middleware vendors is to focus on raw data transport speed, without serialization or deserialization of the message data and without any data processing. In Part 1 of the series, we will follow this approach.

Our tests used direct…

Spring XD 1.2 GA, Spring XD 1.1.3 and Flo for Spring XD Beta released.

Releases | Mark Pollack | June 16, 2015 | ...

Today, we are pleased to announce the general availability of Spring XD 1.2, Spring XD 1.1.3 and the release of Flo for Spring XD Beta.

You can also install XD 1.2 using brew and rpm

The 1.2 release includes a wide range of new features and improvements. The release journey was an eventful one, mainly due to Spring XD’s popularity with so many different groups, each with their respective request priorities. However the Spring XD team rose to the challenge and it is rewarding to look back and review the amount of innovation delivered to…

This Week in Spring - June 16th, 2015

Engineering | Josh Long | June 16, 2015 | ...

Welcome to another installment of This Week in Spring! This week I'm in sunny London for Devoxx UK where I'll be talking to developers about building cloud-native applications with Spring Boot, Spring Cloud, and Cloud Foundry. As usual, if you're in the area, hit me up. The big news this week is the Spring XD 1.2 GA blowing the doors off performance numbers! No benchmarketing here, everything is published and reproducible: Performance turning to get ~12 MILLION msg/sec with an in-memory transport and 2.6MILLION msg/sec when using Kafka (100 byte messages). Lots more detail in the

Spring Framework 3.2.x EOL on Dec 31, 2016

Releases | Juergen Hoeller | June 15, 2015 | ...

Dear Spring community,

The Spring team hereby announces that the Spring Framework 3.2.x line will reach End-Of-Life status at the end of 2016 (along with Apache Tomcat 6.x). We keep publishing occasional 3.2.x maintenance releases up until that point and will then end the branch.

Please prepare for upgrading to Spring Framework 4.x in time. The current Spring Framework 4 generation will remain in active maintenance until 2019, based on the upcoming 4.3 feature release next year - similar to the extended life that 3.2.x is in at the moment.

FYI, we expect Spring Framework 5.0 to be generally available by Q4 2016, requiring JDK 8+. If you need to stay on JDK 6 or 7, Spring Framework 4.x…

Cache auto-configuration in Spring Boot 1.3

Engineering | Stéphane Nicoll | June 15, 2015 | ...

Over the past year, we have significantly improved the cache abstraction, with support of JSR-107 (JCache) annotations and a better declarative model to share or externalize common settings. In Spring Boot 1.3, we now offer a comprehensive auto-configuration for it.

In a nutshell, the cache abstraction applies caching to methods, thus reducing the number of executions based on the information available in the cache. The caching logic is applied transparently: the method below will only be invoked if the specified ISBN is not already present in the books cache. Upon calling that method for a missing Book, the caches will be updated transparently so that a further call does not invoke the…

Introducing Spring Social Evernote

Engineering | Josh Long | June 15, 2015 | ...

This post is a guest post by community member Tadaya Tsuyukubo (@ttddyy), creator of the Spring Social Slideshare project. Thanks Tadaya! I’d like to see more of these guest posts, so - as usual - don’t hesitate to ping me! -Josh

Spring Social Evernote is one of the community modules in the Spring Social ecosystem. It is a service provider implementation for Evernote. It allows developers to work with the Evernote SDK for Java with idiomatic Spring idioms.

Evernote takes a unique approach for providing their APIs to developers. They have created language specific SDKs based on Thrift serialization format. Dave Engberg, CTO of Evernote, explained the motivations for choosing Thrift in this blog

Spring Data GemFire supports Apache Geode

Releases | John Blum | June 12, 2015 | ...

I am pleased to announce that Spring Data GemFire now has support for Apache Geode.

What is Apache Geode?

In a nutshell, Apache Geode is the open source core of Pivotal GemFire. Geode was recently accepted into the Apache incubator after being submitted by Pivotal to the Apache Software Foundation as part of the BDS open sourcing effort.

Technically, Apace Geode is an in-memory, distributed database (a.k.a. IMDG) enabling new as well as existing Spring/Java applications to operate at cloud scale with high availability and predictable latency without sacrificing consistency. Applications are able to transact and analyze Big Data in realtime to achieve…

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