Mobile @Scale 2017 recap
Oct 18, 2017Yoav Shapira

Summary
This post details the migration of the Facebook Android News Feed codebase to background rendering using Litho and Infer, addressing concurrency and other bugs. It also highlights the technical challenges and approaches to scaling the Recommendations product, insights into high-performance app development through instrumentation and re-architecture, and processes for reducing battery consumption by Facebook applications. Additionally, it touches upon the evolution of WhatsApp within Facebook's data centers, real-time analytics for billions of devices, and mobile backend development.
More from the News Feed and Timeline Evolution trail
- Friend Bubbles: Enhancing Social Discovery on Facebook Reels
- A New Ranking Framework for Better Notification Quality on Instagram
- Inside Facebook’s video delivery system
- Improving Instagram notification management with machine learning and causal inference
- A linear programming approach for optimizing features in ML models