A Human-Augmenting Agentic Workflow for Causal Inference
By Winston Chou, Adrien Alexandre, Lars Olds, Yi Zhang, Garrett Hagemann, and Nathan Kallus
Jun 08, 2026 /Read More
Thinking Fast & Slow for a Personalized Notification System
by Matthew Wood, Ishan Gupta, Kevin Mercurio, Devon Bryant, and Claire Dorman
Jun 05, 2026 /Read More
Dynamic Repartitioning for Time Series Workloads
By Rajiv Shringi, Kaidan Fullerton, Oleksii Tkachuk and Kartik Sathyanarayanan
Jun 03, 2026 /Read More
From Silos to Service Topology: Why Netflix Built a Real-Time Service Map
By Parth Jain, Rakesh Sukumar, Yingwu Zhao, Renzo Sanchez & Nathan FisherHow we built a living map of our distributed infrastructure to h...
May 29, 2026 /Read More
The Evolution of Cassandra Data Movement at Netflix
By Guil Pires, Jennifer Prince, Jose Camacho, Ken Kurzweil, Phanindra Chunduru
May 18, 2026 /Read More
Data Projects: Managing Data Assets at Netflix Scale
Netflix’s Data Platform is vast. We have millions of tables in our data warehouse and tens of thousands of scheduled workloads running ac...
May 11, 2026 /Read More
Democratizing Machine Learning at Netflix: Building the Model Lifecycle Graph
Saish Sali, Nipun Kumar, Sura Elamurugu
May 04, 2026 /Read More
Scaling Camera File Processing at Netflix
Orchestrating Media Workflows Through Strategic Collaboration
Apr 24, 2026 /Read More
