Recorded at SpringOne2GX 2015. Speakers: Viktor Gamov, Leonid Igolnik, Baruch Sadogursky Core Spring Track Slides: No slides all demo

Almost every major version of Spring framework introduced a new way to configure the context: XML, Annotations, Java Config, Groovy... What's next, and, more important - why so many?! And how to know what to use and when? In this session Baruch, Viktor and Leonid will try to find the silver bullet, and you will have a chance to vote for the best feature implementations or even make a bet of the winner!

Recorded at SpringOne2GX 2015. Speakers: Mark Fisher & Patrick Peralta Big Data Track Slides: http://www.slideshare.net/SpringCentral/cloud-native-data-flow-orchestration

The Spring Cloud Stream and Spring Cloud Task projects provide a simple and powerful framework for creating cloud native data microservices for stream and batch processing. Each microservice in these distributed systems consists of a stand-alone Spring Boot application.

While it is possible to define data pipelines across these microservice apps manually, Spring Cloud Data Flow is an integrated orchestration layer that…

Recorded at SpringOne2GX 2015. Presenter: Artem Bilan Data & Integration Slides: http://www.slideshare.net/SpringCentral/spring-integration-java-dsl

Spring Integration Java DSL is an organic extension of the Spring Integration programming model providing an alternative to XML configuration with the fusion of Spring Framework Java & Annotation configuration support, Spring Integration EIP implementation and the Builder pattern.

In this session we will talk about the Spring Integration Java DSL fluent API and how it allows you to easily and quickly add integration capabilities to your…

Speaker: Kenny Bastani Slides: https://speakerdeck.com/kbastani/creating-a-pagerank-analytics-platform-using-spring-boot-microservices Guided Tutorial from webinar content: http://www.kennybastani.com/2016/01/spring-boot-graph-processing-microservices.html Reference Application from Webinar: https://github.com/kbastani/spring-boot-graph-processing-example Graph processing platform: https://github.com/neo4j-contrib/neo4j-mazerunner

This webinar introduces you to a sample application that combines multiple microservices with a graph processing platform to rank communities of users on Twitter…

Guest Speaker: Micah Silverman, Java Developer Evangelist, Stormpath Slides: http://www.slideshare.net/stormpath/spring-boot-authenticationand-more Join Stormpath Java Developer Evangelist Micah Silverman for a technical overview of the common pain points with Java authentication. We'll cover how to solve them with Stormpath in a Spring Boot application, and demonstrate how to quickly add a complete user management system to your Spring Boot app. By the end of this webinar, you’ll be on your way to a fully functioning Spring Boot app backed by Stormpath. Topics Covered: Authentication Pain…

Recorded at SpringOne2GX 2015 Presenter: Rob Winch Core Spring Track Slides: http://www.slideshare.net/SpringCentral/hands-on-spring-security-41

It can be complicated learning the ins and outs of any technology stack. When this complexity is compounded by needing to understand how to secure our applications, it can be daunting.

In this talk we will discuss how to rapidly and correctly apply Spring Security to an existing application. Along the way we will demo security exploits and see how to mitigate them, answer frequently asked questions, and learn established best practices.

Whether you…

Recorded at SpringOne2GX 2015 Presenters: Ludwine Probst & Ilayaperumal Gopinathan Big Data Track Slides: http://www.slideshare.net/SpringCentral/apache-spark-for-big-data-processing

Today, we live in the world of Big Data. Hadoop and MapReduce are highly dominant in the domain of large scale data processing. However, the MapReduce model shows its limits for various types of treatment, especially for highly iterative algorithms frequently encountered in the field of Machine Learning.

Spark is an in-memory data processing framework that, unlike Hadoop, provides interactive and real-time…

Recorded at SpringOne2GX 2015 Presenter: Sergi Almar Web /Javascript Track Slides: http://www.slideshare.net/SpringCentral/from-zero-to-hero-with-spring-websocket

Real-time has changed the way we interact with the web, we demand information in real-time. Join Sergi Almar in this presentation to learn how to progressively enhance your traditional Spring MVC application with real-time functionalities for a more interactive and engaging user experience. Starting by adding server push notifications with Server-sent Events (supported in the new Spring 4.2) we will move to a bidirectional…

Speaker: Oliver Gierke Slides: http://www.slideshare.net/SpringCentral/whats-new-in-spring-data-53300373 A year has passed and the Spring Data shipped two release train iterations packed with interesting features. This talk will give a broad overview of the most important introduced in the Fowler and Gosling release trains. We will cover recent additions and improvements in Spring Data Commons - the module that's shared amongst the store specific ones. We'll then delve into the latest and greatest features of individual store modules, like JPA, MongoDB and the community ones as well.