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Safari 6 Learn about the new features in the world's most innovative web browser. Development Resources WWDC 2012 Videos Watch Apple experts discuss a range of topics on developing powerful websites and web apps for Safari.
Java and Tomcat on Mac OS X, Part I
By E. Michael Maximilien November 11, 2009 Comments (4) Robert Johnson , director of engineering at Facebook was the last keynote at OOPSLA 2009 . Robert’s talk: “Moving Fast at Scale - Lessons Learned at Facebook”, aimed to shed some lights on Facebook’s scaling issues and successes, as well as the type of processes they have used to deal with such incredible growth. The Facebook social utility is phenomenally successful.
Extreme Agility at Facebook | blog@CACM | Communications of the
11 Strategies to Rock You
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Structured diff
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Creative SEO
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Linux
Update 8 : The Cost of Latency by James Hamilton. James summarizing some latency info from Steve Souder , Greg Linden , and Marissa Mayer . Speed [is] an undervalued and under-discussed asset on the web. Update 7: How do you know when you need more memcache servers? . Dathan Pattishall talks about using memcache not to scale, but to reduce latency and reduce I/O spikes, and how to use stats to know when more servers are needed.
Latency is Everywhere and
CNS - News
CNS 2009 Lecture Series Archives Please note that archival web casts may not upload due to security parameters in place. Please contact your technical support to make sure Windows Media Player is an allowable access. CNS Lecture Series - Friday, December 11, 2009 Click here for web cast. Abstract: I'll describe PNUTS, a system we have built at Yahoo!Performance Serveur
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Twitter framework - Datasource distribuee
An introduction to sharding Many modern web sites need fast access to an amount of information so large that it cannot be efficiently stored on a single computer. A good way to deal with this problem is to “shard” that information; that is, store it across multiple computers instead of on just one. Sharding strategies often involve two techniques: partitioning and replication. With partitioning , the data is divided into small chunks and stored across many computers. Each of these chunks is small enough that the computer that stores it can efficiently manipulate and query the data.Fetch
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