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Facebook News Feed: Social Data at Scale

Posted by Serkan Piantino  on  Nov 26, 2012 1

Serkan Piantino discusses news feeds at Facebook: the basics, infrastructure used, how feed data is stored, and Centrifuge – a storage solution.

Real-Time Delivery Architecture at Twitter

Posted by Raffi Krikorian  on  Oct 23, 2012 3

Raffi Krikorian details Twitter’s timeline architecture, its “write path” and “read path”, making it possible to deliver 300k tweets/sec.

Mobile Social Apps, A Natural Fit

Posted by Aryeh Selekman  on  Sep 07, 2012

Aryeh Selekman discusses current trends in the mobile space, some of the technologies useful to integrate Facebook functionality into mobile applications and the latest W3C mobile standards under dev.

Storm: Distributed and Fault-tolerant Real-time Computation

Posted by Nathan Marz  on  Jul 25, 2012

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.

Big Data Architectures at Facebook

Posted by Ashish Thusoo  on  Jul 18, 2012

Ashish Thusoo presents the data scalability issues at Facebook and the data architecture evolution from EDW to Hadoop to Puma.

Timelines @ Twitter

Posted by Arya Asemanfar  on  Apr 24, 2012 2

Arya Asemanfar presents Twitter’s timeline architecture, the entire sequence of steps a tweet goes through until it reaches the timeline of each user following the person who tweeted.

Everything I Ever Learned about JVM Performance Tuning @twitter

Posted by Attila Szegedi  on  Apr 12, 2012 1

Attila Szegedi shares lessons learned tuning the JVM at Twitter, spending most of his talk discussing memory tuning, CPU usage tuning, and lock contention tuning.

Spring Social: For the New Web of APIs

Posted by Craig Walls  on  Feb 27, 2012

Craig Walls discusses the need for adding social features to applications, how to secure such applications and how Spring Social can help.

Storm: Distributed and Fault-tolerant Real-time Computation

Posted by Nathan Marz  on  Oct 21, 2011 1

Nathan Marz explain Storm, a distributed fault-tolerant and real-time computational system currently used by Twitter to keep statistics on user clicks for every URL and domain.

HBase @ Facebook

Posted by Kannan Muthukkaruppan  on  Sep 29, 2011 1

Kannan Muthukkaruppan overviews HBase, explaining what Facebook Messages is and why they chose HBase to implement it, their contribution to HBase, and what they plan to use it for in the future.

Big Data in Real Time at Twitter

Posted by Nick Kallen  on  Aug 03, 2011 2

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.

Evolution of Code Design at Facebook

Posted by Nick Schrock  on  Apr 28, 2011 2

Nick Schrock presents how Facebook’s code evolved over time, explaining some new constructs – fbobjects, Preparables, Ents - introduced to address the complexities of a large social graph.

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