AWS Re:Invent 2012 - Chaos Monkey & The Netflix Simian Army
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Netflix receives 2 billion requests per day to its API from users and makes 12 billion outbound requests from its personalization engine to power recommendations. The personalization engine uses data on users, movies, ratings, reviews, and similar movies to conduct A/B tests and has experienced 30 times growth over two years. The document requests feedback on the presentation and conference.
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AWS Re:Invent 2012 - Chaos Monkey & The Netflix Simian Army
- 3. 2B requests per day into the Netflix API 12B outbound requests per API day to API dependencies Personalizatio Movie Movie Similar A/B Test n Engine User Info Reviews Metadata Ratings Movies Engine
- 5. 30x growth in two years!
- 15. ? ? ?
- 18. We are sincerely eager to hear your feedback on this presentation and on re:Invent. Please fill out an evaluation form when you have a chance.
Editor's Notes
- At Netflix, we have a range of engineering teams who focus on specific problem sets. Some teams focus on creating rich presentation layers on various devices. Others focus on metadata and algorithms. For the streaming application to work, the metadata from the services needs to make it to the devices. That is where the API comes in. The API essentially acts as a broken, moving the metadata from inside the Netflix system to the devices.