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Functional Systems @ Twitter

Marius Eriksen explains Twitter's experiences with functional programming (with Scala) @ Twitter: where functional techniques worked and where not. Also: how the Scala language has scaled with Twitter

Marius Eriksen
on Jan 09, 2015

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48:36
TSAR: How to Count Tens of Billions of Daily Events in Real Time Using Open Source Technologies

Gabriel Gonzalez introduces TSAR (TimeSeries AggregatoR), a service for real-time event aggregation designed to deal with tens of billions of events per day at Twitter.

Gabriel Gonzalez
on Nov 22, 2014

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27:24
Real-Time Systems at Twitter

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

Brian Degenhardt
on Aug 01, 2014

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56:02
Scaling Engineering Culture at Twitter

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

Raffi Krikorian
on Feb 25, 2014

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49:17
Decomposing Twitter: Adventures in Service-Oriented Architecture

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.

Jeremy Cloud
on Jul 03, 2013

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49:30
Timelines at Scale

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

Raffi Krikorian
on Apr 03, 2013

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38:00
Scaling Scalability: Evolving Twitter Analytics

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.

Dmitriy Ryaboy
on Jan 13, 2013

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45:19
Storm: Distributed and Fault-Tolerant Real-time Computation

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

Nathan Marz
on Jan 04, 2013

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51:48
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.

Raffi Krikorian
on Oct 23, 2012

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56:03
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.

Nathan Marz
on Jul 25, 2012

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42:26
Timelines @ Twitter

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.

Arya Asemanfar
on Apr 24, 2012

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43:52
Everything I Ever Learned about JVM Performance Tuning @twitter

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.

Attila Szegedi
on Apr 12, 2012

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01:04:25