Reid Draper shows how real world distributed database work, communicate and are tested, trading RPC for messaging, unit-tests for QuickCheck, and micro-benchmarks for multi-week stress tests.
James Richardson, Nat Pryce discuss some of the challenges faced using Neo4J for interactive analysis of large data imports (80K nodes, 150k relationships) and how they overcame them.
Mark Seemann uses F# to demonstrate how to use functional design with TDD to remove the need for Mock objects.
Kevlin Henney revisits the original premise and definition of “Worse is Better”, and looks at how this approach to development can still teach something surprising and new.
Colin Harrington introduces GEB, a browser automation solution, combining the power of WebDriver, jQuery content selection, the robustness of Page Object modelling and the expressiveness of Groovy.
Peter Ledbrook attempts to answer the question "Java is a good all-purpose programming language, but does that mean it's the best tool for all jobs?"
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.