Screens on Shuffle: How Netflix Scales Server‑Driven, Ever‑Changing Pages

Session description

How do you power a product where every page layout, module, and slice of content can change daily—across hundreds of millions of devices—without shipping a new client every time? In this talk, we’ll dive into how Netflix evolved its GraphQL APIs from traditional “data fetching” into a server‑driven UI platform, enabling rapid product innovation and page updates without requiring app releases across a massive device ecosystem. We’ll walk through the architecture that lets servers describe dynamic page structure and behavior, how those contracts scale across many product surfaces and experiments, and the performance and reliability lessons we learned operating this at Netflix scale. When we built this system, we found almost no public examples of similar patterns, so this session is intentionally practical: we’ll share concrete schema patterns, client rendering strategies, and tips you can apply to your own feeds, homepages, and highly dynamic experiences—whether you’re working at Netflix scale or just starting to stretch GraphQL beyond CRUD.