Recorded at SpringOne2GX 2014.

Speakers: Michael Hunger, Lorenzo Speranzoni - Neo Technology

Slides: http://www.slideshare.net/SpringCentral/artistic-spring-data-neo4j-3x-with-spring-boot-and-van-gogh

This session will show, how easy it is to get started with Spring Data Neo4j using Spring Boot. After a quick introduction of the concepts behind the Neo4j NoSQL graph database and its Spring Data integration library, we will discuss the general approach used in Spring Data Neo4j and highlight the exciting, new features of the new 3.x releases which now works with the most recent Neo4j 2.x versions. During the session we'll demonstrate the development steps of an exciting and unusual application - tracking an famous' artists journey connecting him to the places, paintings, people and other aspects that influenced him. Having this data in a graph allows us to find new insights and conclusions as well as quickly adding different aspects to it. This application will use Spring Boot and Spring Data Neo4j to get started quickly. We import the data, look at it as a graph visualization and then build a web-application using Spring Boot's supporting infrastructure. As a final step we show how evolving this application from being a just Neo4j client application to a REST extension of the Neo4j server requires only a few steps and can leverage Spring Data REST to provide the neccessary endpoints for consumers.

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

Recorded at SpringOne2GX 2014.

Speakers: Gunnar Hillert, Chris Schaefer Slides: Data / Integration Track

Slides: http://www.slideshare.net/SpringCentral/spring-batch-performance-tuning

In this presentation we will examine various scalability options in order to improve the robustness and performance of your Spring Batch applications. We start out with a single threaded Spring Batch application that we will refactor so we can demonstrate how to run it using: * Concurrent Steps * Remote Chunking * AsyncItemProcessor and AsyncItemWriter * Remote Partitioning Additionally, we will show how you can deploy Spring Batch applications to Spring XD which provides high availability and failover capabilities. Spring XD also allows you to integrate Spring Batch applications with other Big Data processing needs.

It’s my pleasure to announce that Spring Framework 4.1.5 has been released and is available now from repo.spring.io and Maven Central.

This maintenance release includes 49 fixes and enhancements from 4.1.4 and is a strongly recommended upgrade for all 4.x users.

Project Page | GitHub | Issues | Documentation

Stay tuned for 4.2 RC1, coming up in May!

Speakers: Sabby Anandan, Mark Fisher & Mark Pollack

Slides: https://speakerdeck.com/sabbyanandan/2015

Worried about Big Data and the challenges inherent in making a real application? You don’t have to worry anymore! Spring XD provides a one-stop shop solution that spans traditional enterprise to Big Data use cases - both batch and streaming. It's important to choose the right tool for each use-case, which is why Spring XD integrates with technologies such as Spark, Reactor and RxJava to demonstrate the flexibility and the unified programming model to support complex data computation use-cases. In this webinar, we'll show you how to develop data-driven use cases much faster than other big data solutions on the out of the box XD runtime.

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

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

Learn more about Spring Batch: http://projects.spring.io/spring-batch

Learn more about Spring Data: http://projects.spring.io/spring-data

This tip is drawn heavily from this Wiki-page on Spring XD's streaming support by various Spring XD team-members, and particularly the amazing Ilayaperumal Gopinathan

Spring XD 1.1 is here and is packed with lots of new features. One theme for this release is rich stream processing support. Spring XD 1.1 provides integration with Project Reactor Streams, RxJava Observables, and Spark's streaming.

Let's look specifically at using Reactor, though the concepts are similar across all of the supported streaming APIs.

Messages that are delivered on the Message Bus are accessed from the input Stream. The return value is the output Stream that is the result of applying various operations to the input stream. The content of the output Stream is sent to the message bus for consumption by other processors or sinks. To implement a Stream-based processor module you need to implement the interface org.springframework.xd.reactor.Processor…

Original Author: Enrique Ruiz, Disid

As of STS 3.5.1 Spring Roo support and the Spring Roo runtime are installable from the dashboard rather than being directly included in STS.

With this post we'd like to introduce the Eclipse-based support for Spring Roo so you can take Roo's productivity to STS and you don't even have to leave the development environment! You can build a new application and deploy it to STS in just a few minutes.

We will go step-by-step in order to help you get started quickly:

1.Open your STS IDE.

2. Open STS dashboard.

3. Click on Extensions bottom tab and search Spring Roo.

4. Install Spring Roo (current production release)

5. Install Spring IDE - (Roo extension)

From here on you can just follow the steps of the installation wizard. Along the way you need to review and accept the license agreement and restart STS to finalize the installation.

6. After restarting STS you're ready to work with Spring Roo.

We hope you enjoy this new service. We'll continue to improve the Spring Roo support in future releases of course.

As always we very much value community feedback!

For more project specific information please see the Spring Roo Project Page | or see Spring Roo on GitHub

As always, you'll also find Roo on Twitter - either follow @SpringRoo or just include #SpringRoo in your tweets.

Stay tuned to Spring Roo news!

The Reactor team is happy to announce the release of 2.0.0.RC1, which is now available in the spring.io Maven repository as well as Maven central. Version 2.0 is an #uberupdate from Reactor version 1.1 and contains several new components as well as complete rewrites of important classes like Stream, which now implements the Reactive Streams standard.

Please note that the Maven coordinates for Reactor 2.0 have changed from those for Reactor 1.x. The new coordinates all fall under the group ID io.projectreactor rather than the previous org.projectreactor. A sample dependencies block for a Gradle…

Recorded at SpringOne2GX 2014.

Speaker: Steve Pember

G&G Special Topics

Slides: http://www.slideshare.net/SpringCentral/reactive-grails

The natural tendency for application developers is to construct their code in a procedural, synchronous, monolithic pattern. Veteran developers know that this leads to error prone, unscalable, slow software - yet it is alarmingly prevalent. There have been several architectural patterns that have risen over the years which have attempted to mitigate this problem. One of the most popular has been Service Oriented Architecture, which involves breaking the monolithic application into a distributed system of several smaller services. In this talk, I argue that SOA is a decent start, but not nearly good enough. I will discuss the tenants of the Reactive Pattern and the importance of moving away from Monolithic to Reactive architectures. We will discuss the various Groovy-friendly technologies that allow us to build distributed, micro-service based applications and cover effective communication strategies between each service. We will see how being Reactive is the only viable architecture for large, efficient, scalable systems. If Reactive is new to you, this should be an excellent introduction.

Recorded at SpringOne2GX 2014.

Speaker: Sam Brannen, Swiftmind

Core Spring Track

Slides: http://www.slideshare.net/SpringCentral/testing-with-spring-framework-4x

The Spring Framework has undergone a lot of innovation in the 4.0 and 4.1 releases, and so has its testing support. Join Spring Test component lead Sam Brannen in this talk to discover what's new in Spring's testing support in 4.0 through 4.1. This talk will provide attendees an overview of what's been deprecated, what's changed, and what's been introduced in Spring's testing support over the last two years, with real life examples and tips for best practices. Highlights include using SocketUtils to scan for free TCP & UDP server ports, the ActiveProfilesResolver API, meta-annotation support for test annotations including attribute overrides, best practices with TestNG, using Groovy scripts to configure an ApplicationContext for integration tests, improvements to SQL script execution and embedded databases, the new TestContext framework bootstrap strategy, programmatic transaction management in tests, and more.