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E. Michael Maximilien The Facebook social utility is phenomenally successful. As of summer 2009, the site attracted around 300 million visitors per month.
Extreme Agility at Facebook | blog@CACM | Communications of the
This is a guest posting by Marty Abbott and Michael Fisher, authors of The Art of Scalability . I'm still reading their book and will have an interview with them a little later. If 2010 is the year that you’ve decided to kickoff your startup or if you’ve already got something off the ground and are expecting double or triple digit growth, this list is for you. We all want the attention of user s to achieve viral growth but as many can attest , too much attention can bring a startup to its knees. If you’ve used Twitter for any amount of time you’re sure to have seen the “Fail Whale”, which is so often seen that it has its own fan club .
11 Strategies to Rock You
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Structured diff
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SEO
Creative SEO
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Wednesday, November 11, 2009 at 8:03AM The Cost of Latency by James Hamilton. James summarizes latency info from Steve Souder , Greg Linden , and Marissa Mayer . Speed [is] an undervalued and under-discussed asset on the web. Are Wireless Road Trains the Cure for Traffic Congestion?
Hot Scalability Links for
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.
High Scalability - High Scalability - 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. Abstract: I'll describe PNUTS, a system we have built at Yahoo! for managing web-scale data. PNUTS is focused on serving systems (low-latency data management to support online web applications) and is complementary to (but different from) our cloud analytical system, Hadoop.
Performance Serveur
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Investigation
Blaze DS
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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Stats
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