~/talk

Maximizing Error Injection Realism with System Calls

Talkat Conf42 Chaos Engineering 2021 · on Thursday, 2021-02-25· [linux-and-operating-systems]
linkedin:gluckzhang
slides:none on file

A prototype called Phoebe uses eBPF-based monitors to record real syscall failures in production, clusters them into sporadic/fluctuating/steady patterns, and generates injection models by error-rate amplification. An injector rewrites syscall return codes to replay amplified real errors. Evaluations on an email server (Hadwig) and a BitTorrent client show some syscall errors cause crashes or state corruption while others are tolerated, and overhead stays low enough for production experiments.

AI-written summary · about

  1. 0:00Chaos engineering challenges
  2. 3:24Efficiency in chaos experiments
  3. 4:49System calls as failure target
  4. 7:17Live demo: system call monitoring
  5. 12:53Designing Phoebe framework
  6. 15:20Synthesizing realistic error models
  7. 20:16Evaluating Hedwig email server
  8. 23:27Evaluating Transmission client
  9. 24:52eBPF for system call interception
  10. 26:58Phoebe limitations and future work
  11. 28:45Research contributions summary
  12. 29:27Open-source resources
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