Meta

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

Meta needed to automatically identify and remediate performance inefficiencies across their massive infrastructure to reduce power consumption and free up engineering capacity.

observability distributed-systems
5 min
Meta

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

Meta needed to modernize WebRTC across 50+ use cases while maintaining synchronization with upstream open-source development, avoiding the drift that typically occurs when large projects fork internally.

distributed-systems real-time-systems
5 min
Meta

Trust But Canary: Configuration Safety at Scale

Safely deploying configuration changes at scale while minimizing the risk of widespread failures caused by faulty configurations.

observability distributed-systems
5 min
Meta

AI for American-Produced Cement and Concrete

Designing high-quality, sustainable concrete mixes that are produced in the United States while optimizing for performance characteristics.

ml-systems general
5 min
Meta

KernelEvolve: How Meta’s Ranking Engineer Agent Optimizes AI Infrastructure

Meta needed to automatically optimize low-level infrastructure and kernel-level parameters for AI ranking models to improve performance without manual tuning.

ml-systems distributed-systems
5 min