Recorded at SpringOne2GX 2015 Speaker: Dr. Venkat Subramaniam Slides: No slides, all demo The new facilities in Java 8 is about the change the way we write code. Our code will become more expressive and concise. But, exactly how?

Recorded at SpringOne2GX 2015 Speakers: Simon Baslé, Laurent Doguin Slides: http://www.slideshare.net/SpringCentral/practical-rxjava Web / JavaScript Track RxJava is an awesome library for async data streams. It is both expressive and powerful but the learning curve can be quite steep at first. So we want to quickstart developers into the world of Reactive eXtensions with more context than just listing operators! Adapted from a hands-on workshop, this talk will describe how one can migrate code into a fully async and RxJava-based application, built upon Spring Boot and Java 8. What kind…

Recorded at SpringOne2GX 2015 Track: Data / Integration Speaker: Christoph Strobl Slides: http://www.slideshare.net/SpringCentral/boot-your-search-with-spring Abstract: Search has become a major part in our applications. We want to find, quick and easy! This session focuses on integrating search solutions like Solr, Elasticsearch as well as MongoDBs full text search into your application. We’ll have a look on Spring Data’s abstraction for those and do some hands on auto configuration using Spring Boot (100% XML free setup guaranteed).

Recorded at SpringOne2GX 2015. Track: Big Data Speakers: Sarah Aerni, Srivatsan Ramanujam, Jarrod Vawdrey Slides: http://www.slideshare.net/SpringCentral/data-driven-action-a-primer-on-data-science Abstract: In all industries, as software is eating the world, data is feeding software. However, to truly get value out of the data being generated, it must be analyzed and made actionable. Transformation in many industries actually means precisely this, data-driven action. From creating new television shows, to smart devices that help make your life easy, save precious limited resources, or…

Recorded at SpringOne2GX 2015. Track: Core Spring Speakers: Adam Koblentz and Josh Long Slides: http://www.slideshare.net/SpringCentral/springboot-jrebel-cf Abstract: Spring Boot, the new convention-over-configuration centric framework from the Spring team at Pivotal, marries Spring's flexibility with conventional, common sense defaults to make application development not just fly, but pleasant! Spring Boot gives you a huge leg up over normal starter projects, now let's give you another boost by adding JRebel. With JRebel, the average Java developer saves over 1 work-month per year by…

Welcome to another installment of This Week in Spring where, with 2016 just around the corner, we'll look at some interesting news from the last week and we'll take a moment to review another amazing year in the Spring and Pivotal ecosystem.

Now let's look at an short-and-sweet list of the latest-and-greatest from the last week:

• Got a Amazon.com gift card burning a hole in your pocket from the holidays? Well, fret not, I've got just the thing for you! At long last, Spring legend Craig Walls' epic Spring Boot in Action is available! Get it while it's hot! GO GO GO!
• Netflix's Genie, which is a job scheduling and resource management layer for big-data jobs based on Spring Boot has just recently cut over from Swagger to Spring REST Docs
• Christoph Burmeister put together an introduction to building a fullstack web application with Spring Boot
• This Portuguse-language post looks at starting a new project …

On behalf of the team, I am pleased to announce several releases in the Spring Cloud Stream and Spring Cloud Data Flow family of projects.

Spring Cloud Stream 1.0 M3 introduces the following features

• Many improvements in middleware binding. In particular for supporting multiple binders, so you can now have RabbitMQ as an input and Kafka be the output, for example.
• Partitioning improvements

Spring Cloud Stream Modules 1.0 M2 adds many new modules with updated documentation.

• Sources: File, Load Generator, sftp, and tcp
• Processors: httpclient, PMML, and Splitter
• Sinks: Cassandra, Field Value Counter, file, ftp, gemfire, HDFS Dataset, JDBC, tcp, throughput, and websocket
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Welcome to another installment of This Week in Spring! This week, many of us will be off for the Christmas holiday. If you celebrate, then let me wish you the Merriest of Christmases from our team. If you don't celebrate, we'll see you next week as we look at our annual This Year in Spring! and welcome 2016!

Holiday or not, there's a lot of great stuff to read this week so let's get to it!

1. If you're using Spring Cloud Eureka and Jersey you may run into issues because Eureka itself uses Jersey 1.x where as Spring Boot's Jersey support is based on Jersey 1. Read how Aleksandar Stoisavljevic solved it
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We are pleased to announce the Spring for Apache Hadoop 2.3.0 GA release.

Spring for Apache Hadoop 2.3 adds the following new features and improvements:

• Added support for Hive 1.x and updated HiveTemplate to work with HiveServer2
• New batch tasklet for Apache Spark, see docs for a usage example
• Added FlushTimeoutTrigger to StoreObjectSupport to allow to flush to disk during writes
• Replaced internal state machine implementation with new "spring-statemachine" project
• Added jobHistoryAddress to SpringHadoopProperties for Boot configuration
• Update build to use Spring Framework 4.2.4, Spring Batch 3.0.6.RELEASE, Spring Boot 1.3.1.RELEASE and Spring Integration 4.2.4.RELEASE.
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