Michael Widenius walks through the features of MariaDB 10.0 and 10.1, outlining the performance benefits resulting from switching to MariaDB.
Attila Bujdoso presents two projects designing infrastructures for human cooperation: Format -studies cultural formats of cooperation, opp.io -designing a new technological protocol for collaboration.
Stuart Williams takes a walk through the RTI architecture and explains how Spring performs at hundreds (and millions) of events/operations per second.
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.
Peter Harrington explains what you do with machine learning, and what are the building blocks for an application that uses machine learning from collected data to creating predictions for customers.
Matt Stine presents how combine Spring Boot, Spring Data, Spring Reactor, Spring XD, Hadoop and run them in the cloud.
Peter Norvig keynotes on using machine learning techniques to solve more general software problems, helping both the advanced programmer and the novice one.
Stefan Tilkov makes a pragmatic introduction to the basic principles of the Web's architectural approach, and takes a look at the most common misconceptions.
Sudhir Tonse discusses about the robust interprocess communications (IPC) framework that Netflix built (Ribbon).
Scott Frederick and Ramnivas Laddad introduce the Spring Cloud project, show how you can simplify configuring applications for cloud deployment, discuss its extensibility mechanism, and much more.
Gunnar Hillert provides an overview of the current landscape and illustrate the choices the Spring XD team has made for its user interface.
Grant Shipley deploys an application to the cloud and then turns up the heat by leveraging the right mix of elasticity and auto-scaling.