Martin Thompson overviews Java's evolution, comparing it with C++'s, discussing the challenges of pushing the performance limits.
Matt West explains how to use technologies like CloudStack, Beanstalk, Gearman, mod_gearman, Nagios, nagconf and other tools to monitor large web applications at scale deployed in the zCloud.
Sudhir Tonse presents Netflix' composable PaaS built with several components that have been open sourced.
Sebastian Stadil advises on selecting the right cloud from EC2, GCE, or OpenStack based on one's needs, outlining the deployment and administrative challenges to be faced with each option.
Josh Wills discusses using Hadoop technologies to build real-time data analysis models with a focus on strategies for data integration, large-scale machine learning, and experimentation.
Gloria Lau describes some of the products built for the higher education sector, the data standardization process, determining school similarity and identifying notable alumni.
Xavier Amatriain discusses the machine learning algorithms and architecture behind Netflix' recommender systems, offline experiments and online A/B testing.
Anil Madhavapeddy suggests a different approach to building Internet services avoiding the complexity of today's services which incorporate many policies and security mechanisms.
Narciso Jaramillo demonstrates some of the tools and prototypes that have been built into and on top of Brackets, discusses the Brackets architecture and its extensibility model, and lessons learned building it.
Rich Hickey presents the motivation, design and use of the Clojure core.async library, the reasons for choosing the CSP approach and how it helps to structure applications.
Michiel de Jong suggests solving the data privacy and scalability issues by enabling mobile apps to connect to user's preferred back-end using Dropbox.js, GDrive JS, NimbusBase, remoteStorage.io, etc.
Jakub Nesetril presents a practical example of prototyping, developing and testing an application using a structured description of its API.