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Databasesremove filterIncidents & Postmortemsremove filterMySQLremove filterCloudflareremove filterClear all

  1. 01Cloudflare · architecture

    Origin Range Requests: Serving large files without range-request tuning

    Cloudflare replaced a legacy, fixed-size range caching design that suffered from bandwidth waste and memory pressure with a Pingora-based chunk coordinator. The new implementation dynamically combines cached chunks and aligned origin fetches to serve range requests accurately without manual tuning. This approach cut p99 time to first byte in half for R2 storage and reduced tiered cache traffic by six percent.

    DEPTH ■■■■■8 min read2 days ago

    DatabasesPerformanceRedis

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  2. 02Cloudflare · performance

    Yandex outage: Data shows that instead of going dark, malicious bots went on the move

    Following physical strikes on Yandex data centers, overall HTTP traffic from the network dropped significantly, leading to speculation that malicious bot farms had been disabled. However, traffic analysis revealed that search crawling simply decreased while malicious automation quickly migrated to other hosting providers with identical fingerprints. Consequently, overall malicious bot traffic remained flat, demonstrating that network disruptions do not stop portable automated workloads.

    DEPTH ■■■■■8 min read11 days ago

    Incidents & Postmortems

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  3. 03Cloudflare · postmortem

    Inside Hyperdrive: How we solved a rare Hyperdrive MySQL caching bug

    During the beta of MySQL support for Hyperdrive, engineers investigated rare empty query responses and connection hangs occurring in 0.001% of requests. They discovered that sharing the data center cache between client and endpoint nodes caused protocol capability mismatches when translating MySQL wire messages. The team resolved the issue by standardizing the cache to always store responses encoded with canonical Hyperdrive capabilities.

    DEPTH ■■■■■9 min read11 days ago

    MySQL

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  4. 04Cloudflare · architecture

    Under the hood, off the hot path: How D1 scales to millions of databases

    Cloudflare scaled its serverless SQLite database, D1, to support millions of databases by decoupling the control plane from the data plane. The team used distributed metadata caching via Workers KV, optimized database connections through Hyperdrive, and implemented a self-correcting heartbeat mechanism. This architecture prevents centralized bottlenecks and allows D1 to handle rapid on-demand database creation efficiently.

    DEPTH ■■■■■22 min read12 days ago

    Databases

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