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…

Recorded at SpringOne2GX 2015. Speaker: Ashley Puls, NewRelic Core Spring Track Slides: http://www.slideshare.net/SpringCentral/what-it-means-to-be-just-in-time We write Java code on a daily basis which then gets compiled down to bytecode and run on the JVM. This talk explains what happens to bytecode inside the JVM. It begins with an overview of the Just In Time (JIT) compiler. This overview discusses JIT optimizations such as method inlining and loop unrolling. The talk then inspects JIT logs to explain the optimizations performed on a spring boot application. By the end of the talk, you…

Recorded at SpringOne2GX 2015. Speaker: Matt Raible Web / JavaScript Track Slides: http://www.slideshare.net/SpringCentral/comparing-hot-javascript-frameworks JavaScript MVC Frameworks are all the rage these days. They’ve taken the web development world by storm. This session explores the various features of the three hottest JavaScript MVC frameworks: AngularJS, Ember.js and React.js. It also compares client-side templating vs. server-side templating and how well each framework supports Isomorphic JavaScript (code that can run both client-side and server-side). Finally, we’ll rank each…

Recorded at SpringOne2GX 2015. Speaker: Michael Ploed Cloud Native Track Slides: http://www.slideshare.net/SpringCentral/building-microservices-with-event-sourcing-and-cqrs-53211567 CQRS and Event Sourcing are two architectural patterns that have become very popular through the rise of cloud architectures and No-SQL databases. Both work very well together and take a different take at the handling and storage of data compared to the "classic enterprise approach". CQRS splits your application in a read- and a write-part whereas through Event Sourcing the state of your data is represented by…

Recorded at SpringOne2GX 2015. Speaker: Sebastian Deleuze Web / JavaScript Track Slides: http://www.slideshare.net/SpringCentral/isomorphic-templating-with-spring-boot-nashorn-and-react The first part of this talk introduces the upcoming Spring Framework 4.2 Script Templating support, showing how you can use Nashorn, Jython or JRuby to render templates with Javascript, Python or Ruyby based template engines. We will see how easy you can extend out of the box capabilities on the scripting side. Based on benchmarks, features available and code samples, we will see if this can be a…

Recorded at SpringOne2GX 2015. Speaker: Monish Unni Data / Integration Track Slides: http://www.slideshare.net/SpringCentral/introducing-calltracing-tm-based-on-rabbitmq-spring-and-zipkin Do you live in a world where StackTraces aren’t quite enough? There is no easy way for you to predict how a certain set of services might be called or what their usage patterns are? Does everything work in DIT/SIT/UAT/PELT until you hit production and strange things start to happen due to distribution of services? Solution: Use RabbitMQ (AMQP protocol) and spring proxies/interceptors to enable an out-of…

Recorded at SpringOne2GX 2015. Speaker: Joseph Paulchell, CapitalOne Big Data Track Slides: http://www.slideshare.net/SpringCentral/supercharging-operations-analysis-using-spring-xd-to-support-analytics-and-cep Operations, analytics, and business teams are requesting ever increasing amounts of data delivered to Big Data analysis platforms and tools. This demand is driven by the desire to better understand user experience, quality of service, real time performance of systems, and the undiscovered patterns and opportunities that exist to improve service, sell products, and delight users…