Dan North and Jessica Kerr make a journey through complexity. At the other side we may find simplicity, or we may find the light at the end of the tunnel is just another oncoming ESB.
Eugene Dvorkin provides an introduction to Storm framework, explains how to build real-time applications on top of Storm with Groovy, how to process data from Twitter in real-time, etc.
Ari Grant discusses how Facebook is iterating its mobile products, continuing to increase the richness of the content and speed at which it is delivered.
Or Arbel discusses how Yo's platform enables developers and users to communicate using push notifications.
The authors discuss about the lessons learned from all the biggest sites on the internet about how to build scalable and resilient architectures.
Thomas Risberg introduces the Spring for Apache Hadoop project and discusses integration with Spring XD, batch jobs and external data sources.
Jafar Husain shows the Reactive Extensions (Rx) library which allows to treat events as collections, how Netflix uses Rx on the client and the server, allowing to build end-to-end reactive systems.
Logan Linn explores the design and implications of an architecture built around immutable data structures using ClojureScript and Om, a ClojureScript interface to Facebook's React.
John Leach explains using HBase co-processors to support a full ANSI SQL RDBMS without modifying the core HBase source, showing how Hadoop/HBase can replace traditional RDBMS solutions.
Roman Shaposhnik discusses more advanced features of HDFS, in addition to how YARN has enabled businesses to massively scale their systems beyond what was previously possible.
Garrett Wampole describes an experimental methodology of applying Enterprise Integration Patterns to the near real-time processing of surveillance radar data, developed by MITRE.
Yann Yu discusses how Solr and Hadoop complement each other, and how to use Solr as a real-time, analytical, full-text search front-end to data stored in Hadoop.