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Scaling the Facebook Cache Infrastructure with Python

Description

Montreal, April 14, 2014 - Yannick Gingras gives an overview of the problems that Facebook faces deploying cache services that answer over a billion queries per second while maintaining sub-millisecond response time. He describes the strategies that he uses to mitigate them and since Python is a critical piece of the puzzle, he highlights some of the areas of this usage. I tells war stories and the sense of scale can feel crushing at times, but he does his best to keep it entertaining.¸

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