Capacity Efficiency at Meta: How Unified AI Agents Optimize Performance at Hyperscale

Meta has developed a post-quantum cryptography (PQC) migration framework to strengthen their resilience against quantum threats, with the goal of implementing a seamless transition. They propose a PQC Migration Levels model, consisting of PQ-Enabled, PQ-Hardened, PQ-Ready, PQ-Aware, and PQ-Unaware levels, to help organizations manage complexity and prioritize their migration. Meta's approach prioritizes effectiveness, timeliness, performance, and cost efficiency, aiming to safeguard against quantum adversaries and protect against potential threats.

Meta's Real-Time Communication Team solved the "forking trap" in WebRTC by migrating 50+ use cases to a modular architecture built on top of the latest upstream version. They achieved this through a dual-stack architecture, using a shim layer to dispatch calls between the application layer and WebRTC. This resulted in a significant reduction in binary size and improved performance, while enabling safe A/B testing of new upstream releases before rolling them out.