Liwei Guo, Vinicius Carvalho, Anush Moorthy, Aditya Mavlankar, Lishan ZhuThis is the second post in a multi-part series from Netflix. See here for Part 1 which provides an overview of our efforts in rebuilding the Netflix video processing pipeline with microservices. This blog dives into the details of building our Video Encoding Service (VES), and...

By Ricky Gardiner, Alex Hutter, and Katie LefevreSince our previous posts regarding Content Engineering’s role in enabling search functionality within Netflix’s federated graph (the first post, where we identify the issue and elaborate on the indexing architecture, and the second post, where we detail how we facilitate querying) there have been significant...

Sequential A/B Testing Keeps the World Streaming Netflix Part 2: Counting ProcessesMichael Lindon, Chris Sanden, Vache Shirikian, Yanjun Liu, Minal Mishra, Martin TingleyHave you ever encountered a bug while streaming Netflix? Did your title stop unexpectedly, or not start at all? In the first installment of this blog series on sequential testing, we...

David J. Berg, Romain Cledat, Kayla Seeley, Shashank Srikanth, Chaoying Wang, Darin YuNetflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding. The Machine Learning Platform (MLP) team at Netflix...

The surprising and not so surprising benefits of generations in the Z Garbage Collector.By Danny Thomas, JVM Ecosystem TeamThe latest long term support release of the JDK delivers generational support for the Z Garbage Collector. Netflix has switched by default from G1 to Generational ZGC on JDK 21 and later, because of the significant benefits of concurrent...

Evolving from Rule-based Classifier: Machine Learning Powered Auto Remediation in Netflix Data Platformby Binbing Hou, Stephanie Vezich Tamayo, Xiao Chen, Liang Tian, Troy Ristow, Haoyuan Wang, Snehal Chennuru, Pawan DixitThis is the first of the series of our work at Netflix on leveraging data insights and Machine Learning (ML) to improve the operational...