Recorded at SpringOne Platform 2016. Speaker: Rajini Sivaram Slides: http://www.slideshare.net/SpringCentral/reactive-kafka

Apache Kafka is a distributed, scalable, high-throughput messaging bus. Over the last few years, Kafka has emerged as a key building block for data-intensive distributed applications. As a high performance message bus, Kafka enables the development of distributed applications using the microservices architecture.

Reactive Streams simplifies the development of asynchronous systems using non-blocking back pressure. The reactive framework enables the development of…

Recorded at SpringOne Platform 2016. Speakers: Katie Mooney; Director, Marketing Operations, zData; Cahlen Humphreys; Big Data Solutions Architect, zData & Dillon Woods; Chief Technology Officer, zData Slides: http://www.slideshare.net/SpringCentral/lessons-learned-migrating-from-spring-xd-to-spring-data-cloud-flow-katie-mooney-dillon-woods-cahlen-humphreys

The goal of this session is to teach companies how they can use real-time data to make predictions with Spring Cloud Data Flow, Spark 2.0 and Spark ML. It will cover how to train your model using Spark ML in Spark 2.0. Once trained we…

Spring Boot and Pivotal Cloud Foundry users won’t want to miss Spring team’s Madhura Bhave and Pieter Humphrey as they tour through the Spring Boot 1.5 release.

Inspired in part by cool community open source work from codecentric.de, one of the hottest new directions that the two teams are working on is the integration of Spring Boot Actuators with Pivotal Cloud Foundry.

Attendees will be given direct linkage to product management - this is your chance to influence future integration direction! You’ll also walk away understanding all the highlights of the Spring Boot 1.5 release, including…

Speaker: Josh Long

Hi Spring fans! In this tip, we'll look at the Spring Data Couchbase support in Spring Boot 1.4.

In preparation of the upcoming Spring Boot 1.4.4 release, I am pleased to announce the availability of the seventh service release of Spring Data release train Hopper. The release ships 39 tickets fixed and is a recommended upgrade for all users.

• Spring Data Commons 1.12.7 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data JPA 1.10.7 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data KeyValue 1.1.7 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data for Apache Cassandra 1.4.7 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data for Apache Solr 2.0.7 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Gemfire 1.8.7 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Neo4j 4.1.7 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data MongoDB 1.9.7 - Artifacts - JavaDocs - Documentation - …

On behalf of the Spring Data team I'd like to announce the general availability of our Ingalls release train. After nine months of development, this release not only contains a huge set of new features, improvements and bug fixes, it also marks the conclusion of a branch of Spring Data that has helped developers dealing with persistence for more than 5 years --- even 8, if you count in some module's predecessors.

The release ships more than 630 tickets fixed in total. Here's a very truncated list of the most important features shipping with the release:

• Upgrade to Spring 4.3 as Spring Framework baseline.
• Add Spring Data LDAP (the Spring Data related bits of Spring LDAP) to the release train.
• Elevate Spring Data for Apache Cassandra to a Core module, give it a complete overhaul and upgrade it to Cassandra 3. User defined types, support for Java 8 Stream and Optional etc.
• Performance improvements in object-to-store mapping by avoiding reflection in favor of ASM generated code using method handles.
• More aggregation framework for MongoDB.
• Improved stream execution verification in JPA (reports a missing surrounding transaction).
• …

I am pleased to announce that Spring Boot 1.4.4 has been released and is available now from repo.spring.io and Maven Central.

Spring Boot 1.4.4 includes over 60 fixes, improvements and 3rd party dependency updates! Thanks to all that have contributed!

If you're interested in helping out, check out the "ideal for contribution" tag in the issue repository. If you have general questions, please ask at stackoverflow.com using the spring-boot tag.

Project Page | GitHub | Issues | Documentation

On behalf of the team, I am happy to announce that Spring Framework 4.3.6 is available now.

This maintenance release is the base for the upcoming Spring Boot 1.4.4 and 1.5.0 releases and includes over 60 fixes and selected improvements.

Project Page | GitHub | Issues | Documentation

On behalf of the Spring Integration team, I am pleased to announce that the 4.3.7.RELEASE of Spring Integration is now available.

This release contains a few important bug fixes as well as a couple of improvements.

In particular, this version uses the recently announced Spring Framework 4.3.6.

Please be aware that some performance issues were detected when using Spring Integration with Spring Framework versions 4.3.4 and 4.3.5. We recommend that all users upgrade to this version, but this could be particularly important for users of Spring Integration versions 4.3.5 and 4.3.6, which used those versions of Spring Framework respectively. See this issue…