Published inNetflix TechBlog·PinnedAVA Discovery View: Surfacing Authentic MomentsBy: Hamid Shahid, Laura Johnson, Tiffany Low Synopsis At Netflix, we have created millions of artwork to represent our titles. Each artwork tells a story about the title it represents. From our testing on promotional assets, we know which of these assets have performed well and which ones haven’t. Through this…Distributed Systems10 min readDistributed Systems10 min read
Published inNetflix TechBlog·PinnedMigrating Critical Traffic At Scale with No Downtime — Part 2Shyam Gala, Javier Fernandez-Ivern, Anup Rokkam Pratap, Devang Shah Picture yourself enthralled by the latest episode of your beloved Netflix series, delighting in an uninterrupted, high-definition streaming experience. Behind these perfect moments of entertainment is a complex mechanism, with numerous gears and cogs working in harmony. But what happens when…Distributed Systems10 min readDistributed Systems10 min read
Published inNetflix TechBlog·PinnedMigrating Critical Traffic At Scale with No Downtime — Part 1Shyam Gala, Javier Fernandez-Ivern, Anup Rokkam Pratap, Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. Behind the scenes, a myriad of systems and services are involved in orchestrating the product experience. These backend systems are consistently being evolved and…Distributed Systems10 min readDistributed Systems10 min read
Published inNetflix TechBlog·PinnedImproved Alerting with Atlas Streaming EvalRuchir Jha, Brian Harrington, Yingwu Zhao TL;DR Streaming alert evaluation scales much better than the traditional approach of polling time-series databases. It allows us to overcome high dimensionality/cardinality limitations of the time-series database. It opens doors to support more exciting use-cases. Engineers want their alerting system to be realtime, reliable…Observability7 min readObservability7 min read
Published inNetflix TechBlog·PinnedScaling Media Machine Learning at NetflixBy Gustavo Carmo, Elliot Chow, Nagendra Kamath, Akshay Modi, Jason Ge, Wenbing Bai, Jackson de Campos, Lingyi Liu, Pablo Delgado, Meenakshi Jindal, Boris Chen, Vi Iyengar, Kelli Griggs, Amir Ziai, Prasanna Padmanabhan, and Hossein Taghavi Introduction In 2007, Netflix started offering streaming alongside its DVD shipping services. As the catalog grew…Machine Learning11 min readMachine Learning11 min read
Published inNetflix TechBlog·Aug 29Zero Configuration Service Mesh with On-Demand Cluster Discoveryby David Vroom, James Mulcahy, Ling Yuan, Rob Gulewich In this post we discuss Netflix’s adoption of service mesh: some history, motivations, and how we worked with Kinvolk and the Envoy community on a feature that streamlines service mesh adoption in complex microservice environments: on-demand cluster discovery. A brief history of IPC at Netflix Netflix was early…Envoy9 min readEnvoy9 min read
Aug 24Lessons Learnt From Consolidating ML Models in a Large Scale Recommendation Systemby Roger Menezes, Rahul Jha, Gary Yeh, and Sudarshan Lamkhede In this blog post, we share system design lessons from consolidating several related machine learning models for large-scale search and recommendation systems at Netflix into a single unified model. Given different recommendation use cases, many recommendation systems treat each use-case…Recommendation Systems7 min readRecommendation Systems7 min read
Published inNetflix TechBlog·Aug 16Curbing Connection Churn in ZuulBy Arthur Gonigberg, Argha C Plaintext Past When Zuul was designed and developed, there was an inherent assumption that connections were effectively free, given we weren’t using mutual TLS (mTLS). It’s built on top of Netty, using event loops for non-blocking execution of requests, one loop per core. To reduce contention among…Load Balancing10 min readLoad Balancing10 min read
Published inNetflix TechBlog·Jun 20Detecting Scene Changes in Audiovisual ContentAvneesh Saluja, Andy Yao, Hossein Taghavi Introduction When watching a movie or an episode of a TV show, we experience a cohesive narrative that unfolds before us, often without giving much thought to the underlying structure that makes it all possible. However, movies and episodes are not atomic units, but rather…Machine Learning6 min readMachine Learning6 min read
Published inNetflix TechBlog·Jun 14Migrating Netflix to GraphQL SafelyBy Jennifer Shin, Tejas Shikhare, Will Emmanuel In 2022, a major change was made to Netflix’s iOS and Android applications. We migrated Netflix’s mobile apps to GraphQL with zero downtime, which involved a total overhaul from the client to the API layer. Until recently, an internal API framework, Falcor, powered…GraphQL8 min readGraphQL8 min read
