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test(e2e): tighten chaos RSS and CPU ceilings to what runs actually measured
RSS moved 0.91x-1.40x across three identical local runs, so it stays loose at 2x rather than the arbitrary 1.5x carried over from the pre-padding-payload calibration. CPU per request held steady at 1.33x-1.36x across the same runs, so 4x replaces the looser 6x it inherited from stale numbers. Co-Authored-By: Claude Code <noreply@anthropic.com>
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@ -72,12 +72,11 @@ REDIS_PAUSE_MS: Final = int(CHAOS_SECONDS * 1000)
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# RSS and CPU are budgeted as a multiple of the same metric in the baseline phase, because both
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# are machine-shaped: RSS scales with worker count and CPU with core count, so a number
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# calibrated on one runner means nothing on another. Calibrated from local runs under CLIENT
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# PAUSE ALL that came in around 1.03x RSS and 4.4x CPU per request, and deliberately loose: the
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# regression these guard against grew memory by an order of magnitude, so catching it does not
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# need a tight bound, and a tight one would flake on a shared CI runner.
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CHAOS_RSS_RATIO_CEILING: Final = 1.5
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CHAOS_CPU_PER_REQUEST_RATIO_CEILING: Final = 6.0
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# calibrated on one runner means nothing on another. RSS moved 0.91x-1.40x across three otherwise
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# identical local runs, so it stays loose; CPU per request held steady at 1.33x-1.36x across the
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# same runs, so it can sit closer to what is actually measured.
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CHAOS_RSS_RATIO_CEILING: Final = 2.0
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CHAOS_CPU_PER_REQUEST_RATIO_CEILING: Final = 4.0
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# Latency and log volume get flat ceilings instead, because a ratio cannot bound either one. Once
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# the breaker opens, a request skips Redis rather than waiting on its socket timeout, so the chaos
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