February 28 - March 1, 2013
Montreal, Canada
Back to basics - scaling faster
Do you need that message queue? Do you even need a database for this problem? Is a cluster always good? This is a story about how to scale better and have fun doing it, told through an example of how we wrote a distributed cache invalidation service able to invalidate 45 thousand cache entries per second with ease using only basic HTTP.
Kristian Lyngstøl
Varnish Software
Kristian has been breaking things and fixing them again for most of his life. He's a C, Java, AWK, perl, python and misc programmer and spends his day working with Varnish Cache. He wrote most of the Varnish Book used for professional Varnish training because someone had to do it.
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