David Fullerton shares some of the things the Stack Exchange tech team have learned along the way while scaling one of the top sites in the world primarily through vertical scaling.
Samy Bahra discusses high performance multicore synchronization, scalability bottlenecks in multicore systems and memory models, and scalable locking and lock-less synchronization.
Bob Familiar introduces microservices, discussing their architecture and outlining cloud deployment scenarios, exemplified by a live demo on Microsoft Azure.
Yan Cui shares lessons learned using Neo4j to model the in-game economy of the "Here Be Monsters" game and automate the balancing process.
Alexander Stigsen explores the challenges & opportunities in developing for the new mobile cloud, where most of the processing power is not in a datacenter but in the pockets of users.
Viktor Gamov covers In-Memory technology, distributed data topologies, making in-memory reliable, scalable and durable, when to use NoSQL, and techniques for Big In-Memory Data.
Erik Dahl shares a number of lessons learned along the way, outlining a set of UX Axioms designers and developers alike can use to integrate UX into their practice.
Ben Stopford examines tools, mechanisms and tradeoffs that allow a data architecture to scale, from disk formats to fully blown architectures for real-time storage, streaming and batch processing.
Eleanor McHugh shares insights on digital privacy, encouraging others to gather the minimum information possible about their users in order to serve their needs.
Tin Kadoic expands the definition of responsive beyond RWD, encouranges the audience to rethink how to design and develop responsive software, showing samples of intelligent design.
Evan Krall talks about Paasta, which is Yelp's platform for running services, built on Docker, Mesos, Marathon, SmartStack, git, and Jenkins.
Natalia Chechina outlines features of actor and functional programming models, and the reason these models attract so much interest in parallel, concurrent, and scaling world.