Charles Cai, Ashwani Roy discuss a robust, cost effective, hypothetical solution to address extreme challenges in financial institutions, from decision making support to pricing and risk management.
Nikita Ivanov shows adding real-time capabilities to Hadoop through a demo application streaming word counting on a 2-nodes cluster.
Sam Aaron promotes the benefits of Live Programming using interactive editors, REPL sessions, real-time visuals and sound, live documentation and on-the-fly-compilation.
Owen Barnes introduces SocketStream, a Node.js framework for building single-page real-time web applications that access all of their data via WebSocket.
Daniel Erickson addresses the problems appearing in mixing MVC and real time frameworks in web applications and how Geddy transparently solves these issues.
Guillermo Rauch investigates how some technologies – WebSocket, SPDY, WebRTC, HTTP 2.0 – help with real-time web.
Ross Mason explains what real-time API is, the corresponding technologies and trends, demoing using streaming APIs.
Fred Hebert discusses using Erlang for a real-time bidding system, providing some details of its design and architecture, along with lessons learned while implementing it.
Serkan Piantino discusses news feeds at Facebook: the basics, infrastructure used, how feed data is stored, and Centrifuge – a storage solution.
Raffi Krikorian details Twitter’s timeline architecture, its “write path” and “read path”, making it possible to deliver 300k tweets/sec.
Richard Tibbetts presents a three-tier architecture for real-time data staging analysis, storing the results and delivering them to clients as a service accessible through a variety of interfaces.
Nathan Marz discusses Storm concepts –streams, spouts, bolts, topologies-, explaining how to use Storms’ Clojure DSL for real-time stream processing, distributed RPS and continuous computations.