{"schema_version":"onlylabs.public_signal.v1","title":"Cloudflare (Workers AI) Writing: How we saved 100 terabytes of memory by optimizing 1.1.1.1’s DNS cache","description":"Cloudflare (Workers AI) writing signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/45db373d-b016-4536-b59d-c7fd1e647d23","json_url":"https://onlylabs.fyi/signals/45db373d-b016-4536-b59d-c7fd1e647d23/signal.json","generated_at":"2026-08-28T16:46:08.862Z","evidence_latest_fetched_at":"2026-08-27T20:03:08.493422+00:00","signal_first_seen_at":"2026-08-27T20:01:53.180566+00:00","org":{"slug":"cloudflare","name":"Cloudflare (Workers AI)","category":"neocloud","category_label":"Neocloud","dossier_url":"https://onlylabs.fyi/labs/cloudflare","dossier_json_url":"https://onlylabs.fyi/labs/cloudflare/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/45db373d-b016-4536-b59d-c7fd1e647d23","signal_json":"https://onlylabs.fyi/signals/45db373d-b016-4536-b59d-c7fd1e647d23/signal.json","source":"https://blog.cloudflare.com/dns-cache-memory-optimization-1111/","lab_dossier":"https://onlylabs.fyi/labs/cloudflare","lab_dossier_json":"https://onlylabs.fyi/labs/cloudflare/dossier.json","analysis":"https://onlylabs.fyi/analysis/cloudflare","analysis_json":"https://onlylabs.fyi/analysis/cloudflare/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/cloudflare/evidence.json","category":"https://onlylabs.fyi/neoclouds","category_json":"https://onlylabs.fyi/neoclouds.json","category_feed":"https://onlylabs.fyi/neoclouds/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neocloud","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json?category=neocloud","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml?category=neocloud","data_business":null},"answer_pack":{"answer":"Cloudflare (Workers AI) published How we saved 100 terabytes of memory by optimizing 1.1.1.1’s DNS cache. 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At that scale, wasting a single byte per entry costs more than 250 gigabytes of memory across our fleet. Five successive changes to how cache entries are stored in memory cut the per-entry footprint by over 50%. Across our fleet, these changes freed up roughly 100 terabytes of memory, equivalent to the amount of RAM in 130 of our Gen 13 servers . The cache also got faster. Insert throughput rose 43% and lookup latency dropped 19%, as fewer allocations and better memory locality meant we did not trade speed for space. What we cache On cold start, Big Pineapple starts out with an empty cache. As DNS queries arrive, the cache fills until it hits its maximum entry count, at which point we evict older or less popular items to make room. The exact cache size varies by data center. 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