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Title Launch Observability at Netflix Scale
Part 2: Navigating AmbiguityBy: Varun KhaitanWith special thanks to my stunning colleagues: Mallika Rao, Esmir Mesic, Hugo MarquesBuilding on the foundation laid in Part 1, where we explored the “what”...
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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 hover...
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Title Launch Observability at Netflix Scale
Part 3: System Strategies and ArchitectureBy: Varun KhaitanWith special thanks to my stunning colleagues: Mallika Rao, Esmir Mesic, Hugo MarquesThis blog post is a continuation of Part 2, where we...
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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, enhancing...
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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...
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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...
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How Netflix Accurately Attributes eBPF Flow Logs
By Cheng Xie, Bryan Shultz, and Christine XuIn a previous blog post, we described how Netflix uses eBPF to capture TCP flow logs at scale for enhanced cloud network insights. In this post, we delve...
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Measuring Dialogue Intelligibility for Netflix Content
Enhancing Member Experience Through Strategic CollaborationOzzie Sutherland, Iroro Orife, Chih-Wei Wu, Bhanu SrikanthAt Netflix, delivering the best possible experience for our members is at the heart...
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Behind the Scenes: Building a Robust Ads Event Processing Pipeline
Kinesh SatiyaIntroductionIn a digital advertising platform, a robust feedback system is essential for the lifecycle and success of an ad campaign. This system comprises of diverse sub-systems designed...
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FM-Intent: Predicting User Session Intent with Hierarchical Multi-Task Learning
Authors: Sejoon Oh, Moumita Bhattacharya, Yesu Feng, Sudarshan Lamkhede, Ko-Jen Hsiao, and Justin BasilicoMotivationRecommender systems have become essential components of digital services across...
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