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38:00
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Timelines at Scale

Posted by Raffi Krikorian  on  Apr 03, 2013 Posted by Raffi Krikorian Follow 0 Followers  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
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Zipkin: a Distributed Tracing Framework

Posted by Johan Oskarsson  on  Feb 08, 2013 Posted by Johan Oskarsson Follow 0 Followers  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.

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Scaling Scalability: Evolving Twitter Analytics

Posted by Dmitriy Ryaboy  on  Jan 13, 2013 Posted by Dmitriy Ryaboy Follow 0 Followers  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.

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Storm: Distributed and Fault-Tolerant Real-time Computation

Posted by Nathan Marz  on  Jan 04, 2013 Posted by Nathan Marz Follow 0 Followers  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.

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Real-Time Delivery Architecture at Twitter

Posted by Raffi Krikorian  on  Oct 23, 2012 3 Posted by Raffi Krikorian Follow 0 Followers  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.

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Storm: Distributed and Fault-tolerant Real-time Computation

Posted by Nathan Marz  on  Jul 25, 2012 Posted by Nathan Marz Follow 0 Followers  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.

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Timelines @ Twitter

Posted by Arya Asemanfar  on  Apr 24, 2012 2 Posted by Arya Asemanfar Follow 0 Followers  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.

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Everything I Ever Learned about JVM Performance Tuning @twitter

Posted by Attila Szegedi  on  Apr 12, 2012 1 Posted by Attila Szegedi Follow 0 Followers  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.

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Storm: Distributed and Fault-tolerant Real-time Computation

Posted by Nathan Marz  on  Oct 21, 2011 1 Posted by Nathan Marz Follow 0 Followers  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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Big Data in Real Time at Twitter

Posted by Nick Kallen  on  Aug 03, 2011 2 Posted by Nick Kallen Follow 0 Followers  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.

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NoSQL at Twitter

Posted by Ryan King  on  Jan 21, 2011 Posted by Ryan King Follow 0 Followers  on  Jan 21, 2011

Ryan King presents how Twitter uses NoSQL technologies - Gizzard, Cassandra, Hadoop, Redis - to deal with increasing data amounts forcing them to scale out beyond what the traditional SQL has to offer

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NoSQL at Twitter

Posted by Kevin Weil  on  Dec 23, 2010 6 Posted by Kevin Weil Follow 0 Followers  on  Dec 23, 2010 6

Kevin Weil presents how Twitter does data analysis using Scribe for logging, base analysis with Pig/Hadoop, and specialized data analysis with HBase, Cassandra, and FlockDB.

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