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AI CURATED HOT STORY · 11/5/2026

Cloudflare Saves 100 TB RAM via Consistent Hashing Optimization

1 reports archived1 independent sourcesupdated 11/5/2026, 09:19:05
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Cloudflare reduced memory usage in its internal load balancing service by over 100 TB by optimizing the consistent hashing algorithm in Pingora. The team used probabilistic analysis to determine the minimum number of hash points required for proper distribution, reducing per-server hash counts by ~90% while maintaining accuracy. Further savings were achieved by compressing the Rust data structures storing hash values.

LATEST/Cloudflare reduced memory usage in its internal load balancing service by over 100 TB by optimizing the consistent hashing algorithm in Pingora. The team used probabilistic analysis to determine the minimum number of hash points required for proper distribution, reducing per-server hash counts by ~90% while maintaining accuracy. Further savings were achieved by compressing the Rust data structures storing hash values.

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  1. InfoQ 中文T2·68 pts

    Cloudflare Saves 100 TB RAM via Consistent Hashing Optimization

    • Cloudflare saved over 100 TB of RAM in its Pingora load balancing service by optimizing consistent hashing
    • Probabilistic analysis revealed diminishing returns on adding hash points, leading to a 90% reduction in per-server hash counts
    • Storage efficiency was further improved using the Birthday Paradox principle and compressing Rust data structures from 8 to 6 bytes