Hot Scalability Links For Sep 3, 2010

 With summer almost gone, it's time to fall into some good links...

• Hibari - distributed, fault tolerant, highly available key-value store written in Erlang. In this video Scott Lystig Fritchie gives a very good overview of the newest key-value store. 
• Tweets of Gold
  • lenidot: with 12 staff, @tumblr serves 1.5billion pageviews/month and 25,000 signups/day. Now that's scalability!
  • jmtan24: Funny that whenever a high scalability article comes out, it always mention the shared nothing approach
  • mfeathers: When life gives you lemons, you can have decades-long conquest to convert lemons to oranges, or you can make lemonade.
  • OyvindIsene: Met an old man with mustache today, he had no opinion on #noSQL. Note to myself: Don't grow a mustache, now or later. 
  • vlad003: Isn't it interesting how P2P distributes data while Cloud Computing centralizes it? And they're both said to be the future.
• You may be interested in a new DevOps Meetup organized by Dave Nielson, so you know it will be good.
• Remember your New Year's resolution to learn one new data structure a month? Here's your chance with Bhavin Turakhia's post To Trie or not to Trie – a comparison of efficient data structures. Give it a try. Good discussion thread on Hacker News. 
• Are memristors for real? HP Labs teams up with Hynix to manufacture memristors, plans assault on flash memory in 2013.
• Supercomputing on a cell phone. MIT developed software that can simulate complicated physical phenomena — how cracks form in building materials, for instance, or fluids flow through irregular channels — on an ordinary smartphone. Hmm, what else can we use these things for?
• Tony Tam tells us how to Migrating from MySQL to MongoDB at Wordnik.
• Videos are available for Techonomy Conference 2010. Steward Brand is always reinventing something. 
• Inside Flume. Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data.
• Google exec compares colocation cost to cloud computing, critics say apples to sausage. Where should you put your money? Not surprisingly people disagree and Matt Stansberry has a nice collection of the different arguments.
• 27 Billion Queries Served: OpenDNS Sees Record Traffic writes John Biggs. 
• Ricky Ho teaches us how to use Map/Reduce to recommend people connection. 

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