InfoQ Homepage Real Time Content on InfoQ
-
The Real-time Web: HTTP/1.1 to WebSocket, SPDY and Beyond
Guillermo Rauch investigates how some technologies – WebSocket, SPDY, WebRTC, HTTP 2.0 – help with real-time web.
/presentations/Real-time-Web-WebSocket-SPDY/en/smallimage/Gu.JPG)
-
Going Real-time: How to Build a Streaming API
Ross Mason explains what real-time API is, the corresponding technologies and trends, demoing using streaming APIs.
/presentations/Real-time-Streaming-API/en/smallimage/Ross.JPG)
-
Real Time Bidding: Where Erlang Blooms
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.
/presentations/Real-Time-Bidding-Erlang/en/smallimage/Fred.JPG)
-
Facebook News Feed: Social Data at Scale
Serkan Piantino discusses news feeds at Facebook: the basics, infrastructure used, how feed data is stored, and Centrifuge – a storage solution.
/presentations/Facebook-News-Feed/en/smallimage/Pian.JPG)
-
Real-Time Delivery Architecture at Twitter
Raffi Krikorian details Twitter’s timeline architecture, its “write path” and “read path”, making it possible to deliver 300k tweets/sec.
/presentations/Real-Time-Delivery-Twitter/en/smallimage/Rafi.JPG)
-
View Server: Delivering Real-Time Analytics for Customer Service
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.
/presentations/Real-Time-Analytics-Service/en/smallimage/Richard.JPG)
-
Design Patterns for Combining Fast Data with Big Data in Finance
Mike Stolz shares insight in combining the benefits of analyzing Big Data with those of grabbing the opportunities offered by Fast Data in the Financial Services industry.
/presentations/Design-Patterns-Fast-Data-Big-Data/en/smallimage/Mike.JPG)
-
Storm: Distributed and Fault-tolerant Real-time Computation
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.
/presentations/Storm-Distributed-and-Fault-tolerant-Real-time-Computation/en/smallimage/Nat.JPG)
-
Chloe and the Real Time Web
Trotter Cashion introduces and demoes Chloe, a web server that handles real time data streaming between browsers and web applications written in any language and using any framework.
/presentations/Chloe-and-the-Real-Time-Web/en/smallimage/Trotter.JPG)
-
Exploring Composition and Functional Systems in the Cloud
David Pollak discusses predicates, dependencies, functional languages and programming for the real-time cloud.
/presentations/Exploring-Composition-and-Functional-Systems-in-the-Cloud/en/smallimage/David.JPG)
-
Big Data in Real Time at Twitter
Nick Kallen discusses how Twitter handles large amounts of data in real time by creating 4 data types and query patterns -tweets, timelines, social graphs, search indices-, and the DBs storing them.
/presentations/Big-Data-in-Real-Time-at-Twitter/en/smallimage/Nick.JPG)
-
Financial Transaction Exchange at BetFair.com
This presentation covers Betfair's efforts, e.g. Flywheel, that enables serving 50,000 low cost transactions per second. This technology has become the basis for the Tradefair financial exchange.
/presentations/matt-youill-betfair-flywheel-tradefair/en/smallimage/MY.jpg)