Recorded at SpringOne2GX 2015 Presenters: Greg Turnquist & Roy Clarkson Data / Integration Track Slides: http://www.slideshare.net/SpringCentral/spring-data-rest-data-meets-hypermedia-security

Check out Spring Data REST, a library than can rapidly bridge your data access layer to a RESTful interface using hypermedia. See how you can build the backend for your startup rapidly using top notch practices. We will then look at Spring-A-Gram, a sample application built with Spring Data REST and secured by Spring Security. Snap pictures from your laptop or smartphone and upload them to the server…

Recorded at SpringOne2GX Presenters: Phil Berman, Michael Minella & Derrick Shields Big Data Track Slides: http://www.slideshare.net/SpringCentral/iot-realized-the-connected-car-53122510

For this session we will explore the power of Spring XD in the context of the Internet of Things (IoT). We will look at a solution developed with Spring XD to stream real time analytics from a moving car using open standards. Ingestion of the real time data (location, speed, engine diagnostics, etc) into HDFS, analyzing it to provide highly accurate MPG and vehicle range prediction, as well as providing…

I received an email recently that asked about how to forward control from a wait-state in an Activiti (which is an open-source BPMN2 workflow engine from Alfresco) to a Spring Integration flow and then resume execution of the Activiti workflow process upon completion of some work in Spring Integration.

To really appreciate why this is useful goal, we need some background.

What is Activiti

Activiti is a business process engine. It's basically a directed graph of nodes (states) that model the states of a complex business process. It keeps track of the progression of work described in a business…

On behalf of the team, I am pleased to announce the release of Spring Cloud Stream 1.0.0.M4. The new release comes with a few major changes and enhancements, and it defines core abstractions and primitives that we believe to be essential for the development of distributed real-time data processing applications. To name some of them:

Default publish-subscribe semantics

The most important change in Spring Cloud Stream 1.0.0.M4 is the way in which applications interact with each other. We have opted for a default publish-subscribe model, in which each application that receives messages from a given destination will receive a copy of the message. This is a better fit for the processing model of stream applications, where intermediate topics act as data hubs for the various intersecting data streams, also making scenarios such as tapping easier and more efficient. This feature goes hand in hand with the next, which is consumer groups…

We’re pleased to announce a first milestone release of Spring Statemachine 1.1.0.M1.

We released 1.0.0.M1 April 2015 and 1.0.0.RELEASE October 2015. We've also done 2 maintenance releases for 1.0.x series and now it's time to look in a future with a 1.1.x serie. 1.0.x enters into a maintenance mode while main development will focus on 1.1.x. This doesn't mean that we'll stop with 1.0.x, maintenance fixes for it will be done until we're succesfully transitioned beyond 1.1.x release. It is important in Spring projects to not drop maintenance until users are ready to move on into next minor/major…

Welcome to another installment of This Week in Spring! It's been a busy week for all of us on the Spring team, as you're about to see! I've just finished my presentation at the epic DevNexus show and now I'm off to visit customers in Hartford and Los Angeles before making my way to the epic ConFoo conference in Montreal, Canada. If you're in the area, be sure to ping me and say hi!

We've got a lot to cover, so let's get to it!

• Reactor project lead Stephane Maldini just announced Reactor 2.5: A Second Generation Reactive Foundation for the JVM. This is a huge part of our continued efforts to better support reactive workloads with Spring.
• We've added a new language, Kotlin, to the Spring Initializr! To learn more check out this great post by Sebastien Deleuze on Developing Spring Boot applications with Kotlin
• Spring Integration and Spring AMQP lead Gary Russell's just announced Spring AMQP 1.6.0 Milestone 1 (and 1.5.4) Available
• Spring REST Docs lead Andy Wilkinson's just announced Spring REST Docs 1.1.0.M1
• last week, Spring Data Couchbase 2.0 went GA, and this week I'm pleased to share a guest post from project lead Simon Baslé introducing …

Recorded at SpringOne2GX 2015 Presenters: Stephane Maldini & Rossen Stoyanchev Web / Javascript Track Slides: http://www.slideshare.net/SpringCentral/introduction-to-reactive-programming

This is your one stop shop introduction to get oriented to the world of reactive programming. There are lots of such intros out there even manifestos. We hope this is the one where you don't get lost and it makes sense. Get a definition of what "reactive" means and why it matters. Learn about Reactive Streams and Reactive Extensions and the emerging ecosystem around them. Get a sense for what going reactive…

Recorded at SpringOne2GX 2015. Speakers: John Blum & Luke Shannon Data/Integration Track Slides: http://www.slideshare.net/SpringCentral/building-highly-scalable-spring-applications-using-inmemory-data-grids-53086251

Building highly scalable, low latency applications while simultaneously preserving consistency, high availability and resiliency requires a new breed of technology. In this presentation we introduce Pivotal GemFire along with the open source offering, Apache Geode. Apache Geode is a proven, distributed, in-memory database with ACID properties that can handle large volumes of…

Recorded at SpringOne2GX 2015. Presenters: Fred Melo & William Markito Oliveira Big Data Track Slides: http://www.slideshare.net/SpringCentral/implementing-a-highly-scalable-stock-prediction-system-with-r-apache-geode-and-spring-xd

Finance market prediction has always been one of the hottest topics in Data Science and Machine Learning. However, the prediction algorithm is just a small piece of the puzzle. Building a data stream pipeline that is constantly combining the latest price info with high volume historical data is extremely challenging using traditional platforms, requiring a lot of…