Raffi Krikorian explains the architecture used by Twitter to deal with thousands of events per sec - tweets, social graph mutations, and direct messages-.
Martin Thompson discusses the need to measure what’s going on at the hardware level in order to be able to create high performing lock-free algorithms.
Mike Solomon shares some of the experiences and lessons learned scaling YouTube over the years.
Eric Burke advises on creating mobile applications for Android: the lifecycle of an app, loaders, fragments, Otto, DI, and others.
Daniel Smith details some of the new features prepared for Java 8 by Project Lambda: lambda expressions, default methods, and parallel collections.
Yashwanth Nelapati and Marty Weiner share lessons learned growing Pinterest: sharding MySQL, caching, server management, all on Amazon EC2.
Gareth Rushgrove overviews Ruby on Rails and Django: object caches, fragment and HTTP caching, asset compilation, profiling, log file measurement and framework hooks for instrumentation.
Ryan Kennedy introduces Dropwizard which is Yammer's framework for building RESTful web services on the JVM.
Derek Parham discloses details of the largest and most complicated user migration and code refactoring in Google’s history when all their services were made available to Google Apps users.
Tom Hughes-Croucher discusses increasing the performance of web applications and websites by using Node.js’ event-driven approach.
Jez Humble addresses the most important factors in implementing continuous delivery: organizational, architectural and process.
Arun Gupta explains building WebSocket applications in Java based on JSR 356 API.