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49:08
DevOps Follow 298 Followers

Hardware & Provisioning Engineering @Twitter

Posted by Matt Singer  on  Sep 26, 2017 Posted by Matt Singer Follow 0 Followers , Nik Johnson Follow 0 Followers  on  Sep 26, 2017

M. Singer and N. Johnson present the Provisioning Engineering system at Twitter, called Wilson, which together with Audubon is designed to handle every part of a server's lifecycle.

50:56
Architecture & Design Follow 779 Followers

Real-Time & Personalized Notifications @Twitter

Posted by Gary Lam  on  Jun 06, 2017 Posted by Gary Lam Follow 0 Followers , Saurabh Pathak Follow 0 Followers  on  Jun 06, 2017

Gary Lam and Saurabh Pathak talk about the hybrid push/pull-based architecture adopted by Twitter Notification platform.

43:24
Architecture & Design Follow 779 Followers

Freeing the Whale: How to Fail at Scale

Posted by Oliver Gould  on  Mar 25, 2017 Posted by Oliver Gould Follow 0 Followers  on  Mar 25, 2017

Oliver Gould discusses Finagle, a library providing a uniform model for handling failure at the communications layer, enabling Twitter to fail, safely and often.

50:33
DevOps Follow 298 Followers

Life of a Twitter JVM Engineer

Posted by Tony Printezis  on  Apr 10, 2016 Posted by Tony Printezis Follow 0 Followers  on  Apr 10, 2016

Tony Printezis presents how services are deployed and monitored at Twitter, the benefits of using a custom-built JVM, and the challenges of the use of the JVM in an environment like Twitter.

55:33
Data Science Follow 331 Followers

Flying Faster with Heron

Posted by Karthik Ramasamy  on  Apr 03, 2016 1 Posted by Karthik Ramasamy Follow 0 Followers  on  Apr 03, 2016 1

Karthik Ramasamy presents the design and implementation of Heron, the new de facto stream data processing engine at Twitter. Ramasamy shares Twitter’s experience of running Heron in production.

53:13
Followers

Analyzing Social Networks with F#

Posted by Evelina Gabasova  on  Apr 22, 2015 Posted by Evelina Gabasova Follow 0 Followers  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.

01:03:55
Followers

Scalable Big Data Stream Processing with Storm and Groovy

Posted by Eugene Dvorkin  on  Jan 18, 2015 Posted by Eugene Dvorkin Follow 0 Followers  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.

48:36
Followers

Functional Systems @ Twitter

Posted by Marius Eriksen  on  Jan 09, 2015 Posted by Marius Eriksen Follow 0 Followers  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

27:24
Followers

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 Posted by Gabriel Gonzalez Follow 0 Followers  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.

56:02
Followers

Real-Time Systems at Twitter

Posted by Brian Degenhardt  on  Aug 01, 2014 Posted by Brian Degenhardt Follow 0 Followers  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
Followers

Scaling Engineering Culture at Twitter

Posted by Raffi Krikorian  on  Feb 25, 2014 Posted by Raffi Krikorian Follow 0 Followers  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
Followers

Decomposing Twitter: Adventures in Service-Oriented Architecture

Posted by Jeremy Cloud  on  Jul 03, 2013 3 Posted by Jeremy Cloud Follow 0 Followers  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.

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