29 posts
Dynamic Repartitioning for Time Series Workloads -- Listen Share By Rajiv Shringi, Kaidan Fullerton, Oleksii Tkachuk and Kartik Sathyanarayanan Introduction Netflix’s TimeSeries Abstraction is a scalable system for ingesting and querying petabytes of temporal event data with mil…
High-Throughput Graph Abstraction at Netflix: Part I -- 3 Listen Share By Oleksii Tkachuk, Kartik Sathyanarayanan, Rajiv Shringi Introduction Netflix has a diverse range of graph use cases, each serving specific business needs with unique functionality and performance requiremen…
Featured From Silos to Service Topology: Why Netflix Built a Real-Time Service Map -- Listen Share By Parth Jain, Rakesh Sukumar, Yingwu Zhao, Renzo Sanchez & Nathan FisherHow we built a living map of our distributed infrastructure to help engineers understand dependencies, trou…
Scaling ArchUnit with Nebula ArchRules -- 2 Listen Share By John Burns and Emily Yuan Introduction At Netflix, we operate using a polyrepo strategy with tens of thousands of Java repositories. This means that we need to have ways of sharing common build logic across these reposi…
Democratizing Machine Learning at Netflix: Building the Model Lifecycle Graph -- 3 Listen Share Saish Sali, Nipun Kumar, Sura Elamurugu Introduction As Netflix has grown, machine learning continues to support our ability to deliver value to members and drive excellence across mu…
State of Routing in Model Serving -- 3 Listen Share By Nipun Kumar, Rajat Shah, Peter Chng Introduction This is the first blog post in a multi-part series that shares technical insights into how our ML model serving infrastructure powers several personalized experiences at scale…
Scaling Camera File Processing at Netflix -- Listen Share Orchestrating Media Workflows Through Strategic Collaboration Authors: Eric Reinecke, Bhanu Srikanth Introduction to Content Hub’s Media Production Suite At Netflix, we want to provide filmmakers with the tools they need…
The Human Infrastructure: How Netflix Built the Operations Layer Behind Live at Scale -- Listen Share By: Brett Axler, Casper Choffat, and Alo Lowry In the three years since our first Live show, Chris Rock: Selective Outrage, we have witnessed an incredible expansion of our live…
Evaluating Netflix Show Synopses with LLM-as-a-Judge -- Listen Share by Gabriela Alessio, Cameron Taylor, and Cameron R. Wolfe Introduction When members log into Netflix, one of the hardest choices is what to watch. The challenge isn’t a lack of options — there are thousands of…
Stop Answering the Same Question Twice: Interval-Aware Caching for Druid at Netflix Scale -- Listen Share By Ben Sykes In a previous post, we described how Netflix uses Apache Druid to ingest millions of events per second and query trillions of rows, providing the real-time insi…
Synchronizing the Senses: Powering Multimodal Intelligence for Video Search -- 2 Listen Share By Meenakshi Jindal and Munya Marazanye Today’s filmmakers capture more footage than ever to maximize their creative options, often generating hundreds, if not thousands, of hours of ra…
Smarter Live Streaming at Scale: Rolling Out VBR for All Netflix Live Events -- Listen Share By Renata Teixeira, Zhi Li, Reenal Mahajan, and Wei Wei On January 26, 2026, we flipped an important switch for Live at Netflix: all Live events are now encoded using VBR (Variable Bitra…
Scaling Global Storytelling: Modernizing Localization Analytics at Netflix -- Listen Share Valentin Geffrier, Tanguy Cornuau Each year, we bring the Analytics Engineering community together for an Analytics Summit — a multi-day internal conference to share analytical deliverable…
Optimizing Recommendation Systems with JDK’s Vector API -- 1 Listen Share By Harshad Sane Ranker is one of the largest and most complex services at Netflix. Among many things, it powers the personalized rows you see on the Netflix homepage, and runs at an enormous scale. When we…
Mount Mayhem at Netflix: Scaling Containers on Modern CPUs -- 6 Listen Share Authors: Harshad Sane, Andrew Halaney Imagine this — you click play on Netflix on a Friday night and behind the scenes hundreds of containers spring to action in a few seconds to answer your call. At Ne…