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.

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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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