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Scaling CANDDi oli wood @coldclimate
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history
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measure things that matter
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back of a fag packet if good enough
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have somewhere to test which is not live
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use realistic data
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ab/siege + ec2 instances
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there are no silver bullets
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aim for a silver shotgun cartridge
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define the scenarios
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build a pipeline view
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identify symptoms but solve problems
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symptoms are what you can see
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problems are what you can solve
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bad new: the problem is your code
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good news: thus you can fix it
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do less big things less often
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do frequent things much faster
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avoid waiting
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pull less data
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cache the painful things
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cache: in memory
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cache: redis/memcache
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cache: url/browser cache
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hunt collisions
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use the tools
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iostat
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sar -P
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strace -p
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iftop
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xdebug + webgrind
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statsd
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mongotop
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mongosniff
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tail -100000 mongodb. log | awk -F' ' '{print $NF}' | grep ms$ | sed 's/ms//g' |sort -n | tail -20 | xargs -I {} grep {} ms$ mongodb.log
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and the big gestures
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nginx
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nodejs
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redis
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aim: loosely coupled components which are horizontally scalable both on box and by box
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BULLSHIT
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aim: fast enough for medium term business needs
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aim: not to waste time in a geek circle jerk
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result: 10x the throughput
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result: 2000 non- trivial inbound events a second
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good luck