Engineering at Meta1 min readApr 16, 2026

Post-Quantum Cryptography Migration at Meta: Framework, Lessons, and Takeaways

We’re sharing lessons learned from Meta’s post-quantum cryptography (PQC) migration to help other organizations strengthen their resilience as industry transitions to post-quantum cryptography standar

Databases Distributed Systems Performance

Post-Quantum CryptographyCryptographyMigrationResilience

AI Summary

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.

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

Meta's Capacity Efficiency Program uses unified AI agents to optimize performance at hyperscale by automating investigation and resolution of efficiency issues. The program has recovered hundreds of megawatts of power and saved engineers' time by compressing manual regression investigation hours into minutes. AI agents now handle both finding and fixing performance issues, expanding to more product areas without proportionally scaling headcount.

PerformanceAIDistributed Systems

AIKubernetesgRPCPostgreSQLTensorFlowCI/CDCapacity EfficiencyHyperscalePerformance OptimizationAutomated Performance Issue Resolution

Engineering at Meta1 min9d ago

Escaping the Fork: How Meta Modernized WebRTC Across 50+ Use Cases

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.

Distributed SystemsPerformance

WebRTCMicroservicesAPI DesignMonorepo Management

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