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chore(ursrv): calculate more fine-grained percentiles

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Signed-off-by: Jakob Borg <jakob@kastelo.net>
This commit is contained in:
Jakob Borg
2025-09-02 14:38:01 +02:00
parent 25ae01b0d7
commit 8e5d5802cc
1 changed files with 7 additions and 6 deletions
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13
cmd/infra/ursrv/serve/prometheus.go
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@@ -8,6 +8,7 @@ package serve
import (
"context"
"fmt"
"log/slog"
"reflect"
"slices"
@@ -335,12 +336,12 @@ func (q *metricSummary) Collect(c chan<- prometheus.Metric) {
}
slices.Sort(vs)
c <- prometheus.MustNewConstMetric(q.qDesc, prometheus.GaugeValue, vs[0], append(labelVals, "0")...)
c <- prometheus.MustNewConstMetric(q.qDesc, prometheus.GaugeValue, vs[len(vs)*5/100], append(labelVals, "0.05")...)
c <- prometheus.MustNewConstMetric(q.qDesc, prometheus.GaugeValue, vs[len(vs)/2], append(labelVals, "0.5")...)
c <- prometheus.MustNewConstMetric(q.qDesc, prometheus.GaugeValue, vs[len(vs)*9/10], append(labelVals, "0.9")...)
c <- prometheus.MustNewConstMetric(q.qDesc, prometheus.GaugeValue, vs[len(vs)*95/100], append(labelVals, "0.95")...)
c <- prometheus.MustNewConstMetric(q.qDesc, prometheus.GaugeValue, vs[len(vs)-1], append(labelVals, "1")...)
pctiles := []float64{0, 0.01, 0.025, 0.05, 0.1, 0.25, 0.5, 0.75, 0.9, 0.95, 0.975, 0.99, 1}
for _, pct := range pctiles {
idx := int(float64(len(vs)-1) * pct)
c <- prometheus.MustNewConstMetric(q.qDesc, prometheus.GaugeValue, vs[idx], append(labelVals, fmt.Sprint(pct))...)
}
}
}