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Globalizing Productions with Netflix’s Media Production Suite
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Globalizing Productions with Netflix’s Media Production Suite

Jesse Korosi, Thijs van de Kamp, Mayra Vega, Laura Futuro, Anton MargolineThe journey from script to screen is full of challenges in the ever-evolving world of film and television. The industry has...

Foundation Model for Personalized Recommendation
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Foundation Model for Personalized Recommendation

By Ko-Jen Hsiao, Yesu Feng and Sudarshan LamkhedeMotivationNetflix’s personalized recommender system is a complex system, boasting a variety of specialized machine learned models each catering to d...

HDR10+ Now Streaming on Netflix
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HDR10+ Now Streaming on Netflix

Roger Quero, Liwei Guo, Jeff Watts, Joseph McCormick, Agata Opalach, Anush MoorthyWe are excited to announce that we are now streaming HDR10+ content on our service for AV1-enabled devices, enhanci...

Introducing Impressions at Netflix
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Introducing Impressions at Netflix

Part 1: Creating the Source of Truth for ImpressionsBy: Tulika BhattImagine scrolling through Netflix, where each movie poster or promotional banner competes for your attention. Every image you hov...

Part 3: A Survey of Analytics Engineering Work at Netflix
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Part 3: A Survey of Analytics Engineering Work at Netflix

This article is the last in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. Need ...

Part 2: A Survey of Analytics Engineering Work at Netflix
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Part 2: A Survey of Analytics Engineering Work at Netflix

This article is the second in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. Nee...

Introducing Configurable Metaflow
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Introducing Configurable Metaflow

David J. Berg*, David Casler^, Romain Cledat*, Qian Huang*, Rui Lin*, Nissan Pow*, Nurcan Sonmez*, Shashank Srikanth*, Chaoying Wang*, Regina Wang*, Darin Yu**: Model Development Team, Machine Lear...

Part 1: A Survey of Analytics Engineering Work at Netflix
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Part 1: A Survey of Analytics Engineering Work at Netflix

This article is the first in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. We k...

Cloud Efficiency at Netflix
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Cloud Efficiency at Netflix

By J Han, Pallavi PhadnisContextAt Netflix, we use Amazon Web Services (AWS) for our cloud infrastructure needs, such as compute, storage, and networking to build and run the streaming platform tha...

Title Launch Observability at Netflix Scale
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Title Launch Observability at Netflix Scale

Part 1: Understanding The ChallengesBy: Varun KhaitanWith special thanks to my stunning colleagues: Mallika Rao, Esmir Mesic, Hugo MarquesIntroductionAt Netflix, we manage over a thousand global co...

Netflix’s Distributed Counter Abstraction
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Netflix’s Distributed Counter Abstraction

By: Rajiv Shringi, Oleksii Tkachuk, Kartik SathyanarayananIntroductionIn our previous blog post, we introduced Netflix’s TimeSeries Abstraction, a distributed service designed to store and query la...