Ontology-Driven Observability: Building an End-to-End Knowledge Graph at Netflix Scale
Prasanna Vijayanathan, Renzo Sanchez-Silva
Oct 16, 2026 / Read More
Reliable GPU compute for large training & inference jobs
How we detect failing GPUs and network fabric, remediate machines automatically, and let long-running jobs survive hardware loss.
Oct 14, 2026 / Read More
Trading a Cloud Identity for Your Own: Workload Attestation on Managed Compute
By Dhruv Pratap
Sep 25, 2026 / Read More
Netflix Stratum Media Processing: Automated Container Right-Sizing
By Violetta Pidvolotska and Naveen Mareddy
Sep 25, 2026 / Read More
Leave the Class Path in the Rearview Mirror
Introducing composable, module system native and agent friendly command line tools for modern Java development
Sep 18, 2026 / Read More
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
