Older rss

Analyzing Social Networks with F#

Posted by Evelina Gabasova  on  Apr 22, 2015

Evelina Gabasova explains how to run a social network analysis on Twitter and how to use data science tools to find out more about followers.


Scalable Big Data Stream Processing with Storm and Groovy

Posted by Eugene Dvorkin  on  Jan 18, 2015

Eugene Dvorkin provides an introduction to Storm framework, explains how to build real-time applications on top of Storm with Groovy, how to process data from Twitter in real-time, etc.


Functional Systems @ Twitter

Posted by Marius Eriksen  on  Jan 09, 2015

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


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

Posted by Gabriel Gonzalez  on  Nov 22, 2014 1

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.


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.


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.


Decomposing Twitter: Adventures in Service-Oriented Architecture

Posted by Jeremy Cloud  on  Jul 03, 2013 3

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.


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-.


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.

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