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Page-level and Fleet-wide Data Access Monitoring for Meta

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DAMON now exposes page-level monitoring (filters for huge pages, anon/file-backed/active lists) and a kernel agent damon_stat so a node can export idle time percentiles for fleet aggregation; page insight answers whether a 2 MB huge page backs an 816 KiB hot region. An intervals autotuning feedback loop chooses sampling (example: tuned ~500 ms sample / 8 s aggregate) and converges; real deployments collect thousands of machines, show usable patterns and run under <0.1% single-CPU overhead.

AI-written summary · about

  1. 0:00Introduction and background
  2. 7:19Page-level monitoring at Meta
  3. 13:44Page-level monitoring challenges
  4. 14:05Fleet-wide monitoring motivation
  5. 20:36Autotuning monitoring intervals
  6. 22:26Aggregating fleet data formats
  7. 26:26Introducing diamond_stat
  8. 29:00Deployment and usage
  9. 31:50Q&A insights and discussion
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