John Davies shows a Spring work-flow consuming 7.4kB XML messages, binding them to 25kB Java but storing them in just 450 bytes each, 10 million derivative contracts in-memory on a laptop.
This session explores the power of Spring XD in the context of the Internet of Things (IoT).
Simon Marlow explains how to use Haxl to automatically batch and overlap requests for data from multiple data sources.
Michael Widenius walks through the features of MariaDB 10.0 and 10.1, outlining the performance benefits resulting from switching to MariaDB.
Michael Minella uses Spring XD and Spring Batch to orchestrate the full lifecycle of Hadoop processing and uses Apache Mahout to provide the audience with the recommendation processing.
Matt Stine presents how combine Spring Boot, Spring Data, Spring Reactor, Spring XD, Hadoop and run them in the cloud.
Tal Weiss discusses some essential tools and advanced techniques Java developers can use in their code to debug live servers and resolve errors quickly.
Todd Montgomery discusses how Java 8 has faired with a few new high performance network projects.
Peter Norvig keynotes on using machine learning techniques to solve more general software problems, helping both the advanced programmer and the novice one.
Ken Krueger and Rob Winch provide an overview of testing Spring Web applications.
Gunnar Hillert provides an overview of the current landscape and illustrate the choices the Spring XD team has made for its user interface.
Jeremy Gibbons explains categories, focusing on them as an organizing principle helpful in managing generic libraries.