Twitter Content on InfoQ rss

News about Twitter rss

Twitter Diffy Spots Bugs in Services by Comparing the Responses by Abel Avram Posted on Sep 18, 2015

Twitter Has Replaced Storm with Heron by Abel Avram Posted on Jun 12, 2015

Twitter Unveils Digits Login for Web by João Paulo Marques Posted on Feb 11, 2015 1

Twitter Open Sources R Programming Anomaly and Breakout Detection Packages by Alex Giamas Posted on Jan 31, 2015

Web Summit 2014 Day Two Review by Alex Giamas Posted on Nov 06, 2014

LinkedIn and Twitter Contribute Machine Learning Libraries to Open Source by Alex Giamas Posted on Oct 24, 2014

Twitter's Manhattan: A Real-time, Multi-tenant Distributed Database by Michael Hausenblas Posted on May 15, 2014

Facebook, Google, LinkedIn, and Twitter Want to Make Sure that MySQL Is “Web-Scale” by Abel Avram Posted on Apr 04, 2014

Twitter Open-Sources its MapReduce Streaming Framework Summingbird by Michael Hausenblas Posted on Jan 16, 2014

Ajax Control Toolkit Adds jQuery Support, Updated Twitter API Control and Improved Documentation by Anand Narayanaswamy Posted on Oct 10, 2013

Scaling Twitter to New Peaks by Saul Caganoff Posted on Aug 26, 2013

Effective Scala - Best Practices from Twitter by Bienvenido David Posted on Feb 15, 2012 2

Azul Systems and Twitter Elected to the JCP Executive Committee, VMware No Longer Represented by Charles Humble Posted on Nov 03, 2011

Twitter Storm: Open Source Real-time Hadoop by Bienvenido David Posted on Sep 26, 2011 5

Multi-casting Messages to Twitter, Jabber, IRC, etc. with .NET and Ruby by Jonathan Allen Posted on Jun 22, 2011

First Spring Social Milestone to Integrate with Twitter, Facebook, LinkedIn and Tripit by Tim Cull Posted on Nov 08, 2010 7

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Books about Twitter rss

InfoQ eMag: Scalability This eMag examines topics such as how Twitter re-architected its code-base to improve stability and performance, the approaches Netflix uses to be hyper-resilient, and how Java is replacing C++ for low latency coding. We also look at some lower level tricks such as feedback controls for auto-scaling, and using memory and execution profiling to identify performance bottlenecks in Java.
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