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Cloudflare Uses Massive Data to Boost Global Network

⚡ Cloudflare is leveraging telemetry from its vast Free Plan and global edge to refine congestion control and improve routing across its network. By combining passive connection logs, Real User Measurement (RUM) and cross-network models, the team evaluates multiple algorithms beyond classic loss-based and BBR approaches. A migration to a Rust-based stack enables faster experimentation and parameter tuning; early QUIC tests show up to 10% performance gains. Cloudflare plans staged rollouts through 2026 and offers enterprise early access.

Cloudflare Uses Global Performance Data to Reduce Congestion

🔍 Cloudflare explains how it leverages the world’s largest performance dataset, combining passive transport logs with Real User Measurement (RUM), to refine congestion control across its global network. Using a new Rust-based stack and experimentation framework, the company evaluates multiple algorithms (including BBR) to predict user experience from passive signals and validate with RUM. Early tests on free-tier QUIC traffic show roughly 10% average improvement versus the prior baseline, with staged rollouts and an early-access program planned for enterprises.