Recorded at SpringOne2GX 2015. Speaker: Stephane Maldini, Glenn Renfo, David Turanski Big Data track Slides: http://www.slideshare.net/SpringCentral/high-performance-stream-processing-53163754

Making things go fast is harder than it looks. In this talk we dissect a Spring XD application into three areas - message transport, data serialization, and application processing - to show design patterns and techniques that will help you get the highest throughput and lowest resource utilization for your streaming applications. We will compare and contrast in-memory, RabbitMQ, and Kafka transports…

Recorded at SpringOne2GX 2015. Speaker: John T Davies Big Data track Slides: http://www.slideshare.net/SpringCentral/microservices-to-fastdata-in-the-enterprise-with-spring

How do you deal with massive volumes of data, hundreds of thousands per second? Just chuck it into RAM but what about GC? If we scale to terabytes we need to distribute, what about serialisation costs? How do micro services fit in? In this talk we’ll be using Spring Integration and Spring Boot to ingest gigabytes of complex data into an two different in memory data grids (IMDGs). Based on applications running in…

Welcome to another installment of This Week in Spring! As usual, we've got a lot to cover so let's get to it!

• Spring Security lead Rob Winch has just announced Spring LDAP 2.1.0.RC1 has been released! Get the bits and try it out.
• Oracle's amazing Geertjan Wielenga put together an awesome, 100% live demo looking at how to use Spring Boot with NetBeans
• I love Spring Cloud Data Flow! Whether you want a way to describe and compose complex processing streams from simple actor-like components, want to orchestrate stream processing solutions, manage tasks like data at-scale data ingest or otherwise, Spring Cloud Data Flow is probably what you're looking for. Check out this quick look at…

Recorded at SpringOne2GX 2015. Speaker: Stephane Maldini, Rossen Stoyanchev Web / Javascript track Slides: http://www.slideshare.net/SpringCentral/reactive-web-applications-53170985 In our previous talk "Intro to Reactive Programming" we defined reactive programming and provided details around key initiatives such as Reactive Streams and ReactiveX. In this talk we'll focus on where we are today with building reactive web applications. We'll take a look at the choice of runtimes, how Reactive Streams may be applied to network I/O, and what the programming model may look like. While this is…

Recorded at SpringOne2GX 2015. Speakers: Michael Wilmes, Lufthansa and Laurent Doguin, Couchbase Data / Integration Track http://www.slideshare.net/SpringCentral/inflight-asset-management-with-spring-data-and-neo4j We invite you to join these two speakers from the Spring Data community, each speaking about their respective projects for 45 minutes. Michael Wilmes from Lufthansa Systems will speak about Graph-based Asset Management with the Spring Framework. He is part of a flagship project that brings next-generation Inflight-Entertainment systems onto passenger aircrafts, and tackles the…

Guest Speaker: Geertjan Wielenga Slides: no slides all demo NetBeans IDE is the official IDE of the Java platform. Focused on rapid out-of-the-box development of all kinds of Java applications, NetBeans is comprehensive and easy to use. In particular, its free and open source tooling for end-to-end development is much admired. Over recent years, many developers have added NetBeans to their toolbox because of its intuitive and powerful integration with Maven and Gradle. During this session you will see how NetBeans is well suited for setting up and developing applications that make use of…

Speakers: Marius Bogoevici, Pivotal

The future of scalable data processing is event-driven microservices! They provide a powerful paradigm that solves issues typically associated with distributed applications such as availability, data consistency, or communication complexity, and allows the creation of sophisticated and extensible data processing pipelines.

Building on the ease of development and deployment provided by Spring Boot and the cloud native capabilities of Spring Cloud, the Spring Cloud Stream project provides a simple and powerful framework for creating event-driven microservices…

Recorded at SpringOne2GX 2015. Speaker: Craig Walls Data / Integration Track Slides: http://www.slideshare.net/SpringCentral/spring-developers-guide-to-social-integration There's an internet full of services ready to be plugged into your Spring applications. These services offer a wealth of information about the users of your application, including information about their interests, places they travel to and visit, their friends, family, and colleagues, and even what temperature they like to keep in their home. All you need to do is tap into it.

In this session, you'll see how to use…

Recorded at SpringOne2GX 2015. Speaker: Joe Stein Big Data Track Slides: http://www.slideshare.net/SpringCentral/developing-realtime-data-pipelines-with-apache-kafka-53201942 Developing Real-Time Data Pipelines with Apache Kafka http://kafka.apache.org/ is an introduction for developers about why and how to use Apache Kafka. Apache Kafka is a publish-subscribe messaging system rethought of as a distributed commit log. Kafka is designed to allow a single cluster to serve as the central data backbone. A single Kafka broker can handle hundreds of megabytes of reads and writes per second from…