Log10 Loadshare -

# Instantaneous loadshare per instance log10( sum by (instance) ( rate(http_requests_total[1m]) ) + 1 ) For a (threshold: any instance exceeds 3x the median):

import math import numpy as np def log10_loadshare(raw_rates): """Convert a list of raw request rates to log10 loadshare values.""" return [math.log10(r + 1) for r in raw_rates] log10 loadshare

If you have ever stared at a load balancer’s dashboard showing wildly fluctuating request rates or struggled to visualize traffic distribution across 50 backend servers, the linear scale has failed you. Enter log10 loadshare —a logarithmic lens that compresses exponential disparities into readable, actionable insights. # Instantaneous loadshare per instance log10( sum by

# Extract RPS per backend from HAProxy logs (simplified) awk 'print $NF' /var/log/haproxy.log | sort | uniq -c | \ awk 'print "log10_loadshare=" log($1+1)/log(10) " raw=" $1' Raw loadshare tells you how much traffic a node handles, but not how well it handles it. A powerful composite metric is the Log-Load Latency Ratio (L3R) : A powerful composite metric is the Log-Load Latency