Crafting a high-performance TV user interface using React
by Ian McKay The Netflix TV interface is constantly evolving as we strive to figure out the best experience for our members. For example, after A/B testing, eye-tracking research, and customer feedback we recently rolled out video previews to help members make better decisions about what to watch. We’ve written before about how our TV application consists of an SDK installed natively on the device
Linux Performance Analysis in 60,000 Milliseconds
You log in to a Linux server with a performance issue: what do you check in the first minute? At Netflix we have a massive EC2 Linux cloud, and numerous performance analysis tools to monitor and investigate its performance. These include Atlas for cloud-wide monitoring, and Vector for on-demand instance analysis. While those tools help us solve most issues, we sometimes need to login to an instanc
Netflix JavaScript Talks - Scaling A/B Testing on Netflix.com with Node.js
At Netflix we run hundreds of A/B tests every year. Maintaining multivariate experiences quickly adds strain to any UI engineering team. In this talk, Alex Liu and Micah Ransdell explore the patterns we’ve built in Node.js to tame this beast - ultimately enabling quick feature development and rapid test iteration on our service used by over 50 million people around the world.
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