feat(bench): add latency distribution chart with log-normal fit#2832
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feat(bench): add latency distribution chart with log-normal fit#2832
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Benchmark reports lacked visibility into latency shape beyond summary percentiles. Operators couldn't distinguish bimodal distributions from skewed unimodal ones. Compute per-group latency histograms (50 bins) with log-normal PDF fit and P5/P50/P95/P99 scatter markers. Wire them through report types, chart generation, and the dashboard frontend as a new "Distribution" tab.
Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## master #2832 +/- ##
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Coverage 67.66% 67.66%
Complexity 708 708
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Files 1030 1030
Lines 83846 83846
Branches 60702 60703 +1
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+ Hits 56734 56738 +4
+ Misses 24763 24758 -5
- Partials 2349 2350 +1
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spetz
approved these changes
Feb 27, 2026
mmodzelewski
approved these changes
Feb 27, 2026
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Benchmark reports lacked visibility into latency shape
beyond summary percentiles. Operators couldn't distinguish
bimodal distributions from skewed unimodal ones.
Compute per-group latency histograms (50 bins) with
log-normal PDF fit and P5/P50/P95/P99 scatter markers.
Wire them through report types, chart generation, and
the dashboard frontend as a new "Distribution" tab.