Behind the Scenes: Evolving Netflix’s Ads Event Pipeline for Live — Part II
By Yogesh Nagarur
Aug 17, 2026 /Read More
How and Why Netflix Built a Real-Time Distributed Graph: Part 3 — Querying the graph with gRPC…
Authors: Nilesh Mishra and Ajit Koti
Aug 07, 2026 /Read More
TimeSeries Tiered Storage Journey: Kafka/Flink Streams to Native Cassandra Cold Reads
By Oleksii Tkachuk, Rajiv Shringi, Chris Lohfink, Abe Ratnofsky, Kartik Sathyanarayanan
Aug 03, 2026 /Read More
Modeling Device Capabilities for Analytics
by Aarti Laddha, Richard Diaz-Cool, Rishika Idnani, Venkatesh Selveraj
Jul 31, 2026 /Read More
GenRec: Towards LLM-Native Recommendation at Netflix
Authors: Ying Li, Arjun Rao, Shradha Sehgal
Jul 30, 2026 /Read More
In-House LLM Serving at Netflix
By AI Platform’s Model Runtime team and Inference team
Jul 17, 2026 /Read More
Building Service Topology at Scale: Architecture, Challenges, and Lessons Learned
By Parth Jain, Rakesh Sukumar, Yingwu Zhao, Renzo Sanchez-Silva & Nathan FisherA deep dive into the engineering challenges of building a ...
Jul 13, 2026 /Read More
Measuring the Impact of Personalized Recommendations
By Kevin Zielnicki, Guy Aridor, Aurélien Bibaut, Allen Tran, Winston Chou, and Nathan Kallus
Jul 10, 2026 /Read More
GenPage: Towards End-to-End Generative Homepage Construction at Netflix
Authors: Lequn Wang, Jiangwei Pan, and Linas Baltrunas
Jun 29, 2026 /Read More
Toward More Controllable AI Video Editing: An Early Research Exploration at Netflix
By Zhuoning Yuan, Ta-Ying Cheng, Benjamin Klein, Bahareh Azarnoush
Jun 23, 2026 /Read More
