Published in Netflix TechBlog·PinnedMatch Cutting: Finding Cuts with Smooth Visual Transitions Using Machine LearningBy Boris Chen, Kelli Griggs, Amir Ziai, Yuchen Xie, Becky Tucker, Vi Iyengar, Ritwik Kumar, Keila Fong, Nagendra Kamath, Elliot Chow, Robert Mayer, Eugene Lok, Aly Parmelee, Sarah Blank Creating Media with Machine Learning episode 1 Introduction At Netflix, part of what we do is build tools to help our creatives…Machine Learning12 min readMachine Learning12 min read
Published in Netflix TechBlog·3 days agoReady-to-go sample data pipelines with Dataflowby Jasmine Omeke, Obi-Ike Nwoke, Olek Gorajek Intro This post is for all data practitioners, who are interested in learning about bootstrapping, standardization and automation of batch data pipelines at Netflix. You may remember Dataflow from the post we wrote last year titled Data pipeline asset management with Dataflow. That article…Data Engineering13 min readData Engineering13 min read
Published in Netflix TechBlog·Nov 15Helping VFX studios pave a path to the cloudBy: Peter Cioni (Netflix), Alex Schworer (Netflix), Mac Moore (Conductor Tech.), Rachel Kelley (AWS), Ranjit Raju (AWS) Rendering is core to the VFX process VFX studios around the world create amazing imagery for Netflix productions. Nearly every show that is produced today includes digital visual effects, from the creatures in Stranger Things, to recreating historic London in…Vfx5 min readVfx5 min read
Published in Netflix TechBlog·Nov 14For your eyes only: improving Netflix video quality with neural networksby Christos G. Bampis, Li-Heng Chen and Zhi Li When you are binge-watching the latest season of Stranger Things or Ozark, we strive to deliver the best possible video quality to your eyes. To do so, we continuously push the boundaries of streaming video quality and leverage the best video…Neural Networks6 min readNeural Networks6 min read
Nov 10Netflix at MIT CODE 2022Netflix was proud to be the primary sponsor of the 2022 Conference on Digital Experimentation (CODE), hosted by the MIT Initiative on the Digital Economy. Our cast of Netflixers were excited to see new and old faces in person after two long years! In addition to stepping up our sponsorship…Ab Testing3 min readAb Testing3 min read
Published in Netflix TechBlog·Nov 9Seeing through hardware counters: a journey to threefold performance increaseBy Vadim Filanovsky and Harshad Sane In one of our previous blogposts, A Microscope on Microservices we outlined three broad domains of observability (or “levels of magnification,” as we referred to them) — Fleet-wide, Microservice and Instance. We described the tools and techniques we use to gain insight within each…Performance10 min readPerformance10 min read
Published in Netflix TechBlog·Nov 3Consistent caching mechanism in Titus Gatewayby Tomasz Bak and Fabio Kung Introduction Titus is the Netflix cloud container runtime that runs and manages containers at scale. In the time since it was first presented as an advanced Mesos framework, Titus has transparently evolved from being built on top of Mesos to Kubernetes, handling an ever-increasing volume…Titus13 min readTitus13 min read
Published in Netflix TechBlog·Oct 18Orchestrating Data/ML Workflows at Scale With Netflix Maestroby Jun He, Akash Dwivedi, Natallia Dzenisenka, Snehal Chennuru, Praneeth Yenugutala, Pawan Dixit At Netflix, Data and Machine Learning (ML) pipelines are widely used and have become central for the business, representing diverse use cases that go beyond recommendations, predictions and data transformations. A large number of batch workflows run…Workflow13 min readWorkflow13 min read
Published in Netflix TechBlog·Oct 12How Product Teams Can Build Empathy Through ExperimentationA conversation between Travis Brooks, Netflix Product Manager for Experimentation Platform, and George Khachatryan, OfferFit CEO — Note: I’ve known George for a little while now, and as we’ve talked a lot about the philosophy of experimentation, he kindly invited me to their office (virtually) for their virtual speaker series. We had a fun conversation with his team, and we realized that some parts of it might…Experimentation7 min readExperimentation7 min read
Sep 30RecSysOps: Best Practices for Operating a Large-Scale Recommender Systemby Ehsan Saberian and Justin Basilico video version: link Operating a large-scale recommendation system is a complex undertaking: it requires high availability and throughput, involves many services and teams, and the environment of the recommender system changes every second. For example, new members or new items may come to the…Recommendation System9 min readRecommendation System9 min read
