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56:02

Real-Time Systems at Twitter

Posted by Brian Degenhardt  on  Aug 01, 2014

Brian Degenhardt discusses lessons that Twitter learned managing a high rate of change and complexity, and how those can be applied anywhere.

49:17

Scaling Engineering Culture at Twitter

Posted by Raffi Krikorian  on  Feb 25, 2014

Raffi Krikorian discusses the software engineering challenges met re-architecting Twitter and the cultural change impact that came with it.

49:30

Decomposing Twitter: Adventures in Service-Oriented Architecture

Posted by Jeremy Cloud  on  Jul 03, 2013 2

Jeremy Cloud discusses SOA at Twitter, approaches taken for maintaining high levels of concurrency, and briefly touches on some functional design patterns used to manage code complexity.

38:00

Timelines at Scale

Posted by Raffi Krikorian  on  Apr 03, 2013

Raffi Krikorian explains the architecture used by Twitter to deal with thousands of events per sec - tweets, social graph mutations, and direct messages-.

17:55

Zipkin: a Distributed Tracing Framework

Posted by Johan Oskarsson  on  Feb 08, 2013

Johan Oskarsson explains how Twitter is using Zipkin to trace a pages in order to see their execution path and to determine the time spent for loading for performance monitoring and analysis.

Scaling Scalability: Evolving Twitter Analytics

Posted by Dmitriy Ryaboy  on  Jan 13, 2013

Dmitriy Ryaboy shares some of the lessons learned scaling Twitter’s analytics infrastructure: Data loves a schema, Make data sources discoverable, and Make costs visible.

Storm: Distributed and Fault-Tolerant Real-time Computation

Posted by Nathan Marz  on  Jan 04, 2013

Nathan Marz introduces Twitter Storm, outlining its architecture and use cases, and takes a look at future features to be made available.

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.

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.

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.

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.

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