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[1] http://ir.netflix.com/
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
30x growth in two years!
•

•

•
We are sincerely eager to
 hear your feedback on this
presentation and on re:Invent.

 Please fill out an evaluation
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Netflix API powers personalization engine with 12B requests daily

  • 1.
  • 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
  • 4.
  • 5. 30x growth in two years!
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 16.
  • 17.
  • 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

  1. 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.