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Deep, recent reads ranked by depth and freshness.

Incidents & Postmortemsremove filterPerformanceremove filterMachine Learningremove 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

    Cutting our inference bill by 68% by being obsessive about optimization

    An engineering team investigated a steady rise in AI code review costs and found that cache misses and redundant model calls were driving up expenses. By restructuring system prompts to enable cross-repository prompt caching, eliminating wasted tool calls, and switching to more efficient models, the team cut inference costs by 68% while also significantly improving review latency.

    DEPTH ■■■■■15 min read6 days ago

    Machine Learning

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  3. 03Cloudflare · 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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  4. 04Cloudflare · architecture

    How Commerce.com and Cloudflare are getting storefronts ready for AI agents

    Commerce.com and Cloudflare collaborated to enable WebMCP at the edge for nearly 100,000 storefronts, allowing AI agents to interact reliably with e-commerce sites using structured tools rather than fragile HTML scraping. The team implemented edge-level configuration rules using custom hostname metadata to provide individual merchants with a seamless opt-out mechanism and added support for custom MCP paths. This integration allows agents to execute shopping tasks directly within the active browser session while ensuring fallback safety and zero extra latency for opted-out stores.

    DEPTH ■■■■■6 min read4 days ago

    Machine Learning

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