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Get flash to fully experience Pearltrees
This is a wonderfully informative Amazon update based on Joachim Rohde's discovery of an interview with Amazon's CTO. You'll learn about how Amazon organizes their teams around services, the CAP theorem of building scalable systems, how they deploy software, and a lot more. Many new additions from the ACM Queue article have also been included. Amazon grew from a tiny online bookstore to one of the largest stores on earth. They did it while pioneering new and interesting ways to rate, review, and recommend products.
Amazon Architecture | High Scalability
Flickr Architecture | High Scalability
Scaling Twitter: Making Twitter 10000 Percent Faster | High Scal
Update 6: Some interesting changes from Twitter's Evan Weaver : everything in RAM now, database is a backup; peaks at 300 tweets/second; every tweet followed by average 126 people; vector cache of tweet IDs; row cache; fragment cache; page cache; keep separate caches; GC makes Ruby optimization resistant so went with Scala; Thrift and HTTP are used internally; 100s internal requests for every external request; rewrote MQ but kept interface the same; 3 queues are used to load balance requests; extensive A/B testing for backwards capability; switched to C memcached client for speed; optimize critical path; faster to get the cached results from the network memory than recompute them locally. Update 5: Twitter on Scala . A Conversation with Steve Jenson, Alex Payne, and Robey Pointer by Bill Venners.7 Scaling Strategies Facebook Used to Grow to 500 Million Users
Facebook's New Real-time Messaging System: HBase to Store 135+ Billion Messages a Month
You may have read somewhere that Facebook has introduced a new Social Inbox integrating email, IM, SMS, text messages, on-site Facebook messages.About a year ago, when Facebook set out to build its email-meets-chat-meets-everything-else messaging system , the company knew its infrastructure couldn't run the thing.

