John Musser takes a look at some of the common mistakes made by API providers, providing advice on what can be done to avoid them.
Randy Shoup describes KIXEYE's analytics infrastructure from Kafka queues through Hadoop 2 to Hive and Redshift, built for flexibility, experimentation, iteration, componentization, testability, reliability and replay-ability.
Roland Kuhn introduces the principles of reactive applications, providing guidance on how to create reactive systems.
Darren Hobbs shares lessons learned building polyglot systems, the technology choices made. mitigating risk and delivering value.
Didier Verna keynotes on the bonds between biology and computer science, how these bonds developed over the years, and how software could behave like living organisms.
Ted Epstein shows how a shared canonical model can make life easier for API consumers, while still allowing the flexibility to expose different services, with different contextual requirements.
Marcel Kornacker presents a case study of an EDW built on Impala running on 45 nodes, reducing processing time from hours to seconds and consolidating multiple data sets into one single view.
Todd Montgomery explains using WebSocket and reactive programming in an event driven RESTful architecture for the emerging IoT world.
Michael Dowden introduces JMeter and explains how to develop a data-driven methodology to determine some of the limits of a web application: max number of concurrent users, bottlenecks, etc.
In this solutions track talk, sponsored by Cloudera, Eva Andreasson discusses how search and Hadoop can help with some of the industry's biggest challenges. She introduces the data hub concept.
Andreas Olofsson reviews the history of processors and outlines some of the challenges ahead, introducing project Parallella meant to speed up the transition to massively parallel computing.