The Lifecycle of LLM-as-a-Judge: Building, Aligning, and Monitoring at scale
By Emma Yanyang Kong, JJ Tan, Ishan Gupta, Lars Olds, Claire Campbell, David Fagnan, Ratna Kavuri, Rohan Gosain, Veli Balin, Minsu Jang, ...
Sep 04, 2026 / Read More
Running Apache Spark experiments in my sleep (and on a plane)
By Prashanth Gedde Narayanaswamy
Aug 31, 2026 / Read More
MAPS: Netflix’s Multimodal Asset Personalization at Scale
By Emma Yanyang Kong, Aditya Deshpande, Asad Abbasi, Bowei Yan, David Fagnan, Ashish Rastogi, Dhaval Patel, Ray Zhang
Aug 28, 2026 / Read More
A Tale of Two Flink Autoscalers
Samuel Yeboah, Francesco Di Chiara and Mingliang Liu
Aug 21, 2026 / Read More
Netflix Conductor: The Next Chapter
by Aravindan Ramkumar on behalf of the Conductor team
Aug 21, 2026 / Read More
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
