@optimization   22

Optimize Python with Closures
Magnetic’s real-time bidding system, written in pure Python, needs to keep up with a tremendous volume of incoming requests. On an ordinary weekday, our application handles about 300,000 requests per second at peak volumes, and responds in under 10 milliseconds. It should be obvious that at this scale optimizing the performance of the hottest sections of our code is of utmost importance. This is the story of the evolution of one such hot section over several performance-improving revisions.
@python  @optimization  @performance  @tips 
may 2015 by caochauvu

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