Log10 Loadshare [work] 🎯 High Speed

Given a set of ( n ) resources (e.g., servers), each with a metric ( m_i ) (e.g., capacity score, inverse of current load), the raw log10 weight is:

# 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'

Assign weights based on the log10 of the server's capacity. A server with 10Gbps capacity doesn't necessarily handle 10x more "complexity" than a 1Gbps server; using a log scale helps find the "sweet spot" for performance.

to prevent mathematical errors when a server has zero traffic. log10 loadshare

This ecosystem is highly scalable, with the company's platform reportedly handling . This scale is achieved by providing a suite of "supply-facing apps" that digitize the operations of hundreds of thousands of delivery riders, fleet owners, and transporters, creating a fully connected and transparent supply chain.

is the specialized operational ecosystem developed by LoadShare Networks to manage and streamline its logistics and supply chain activities.

The unique connection is found in the company LoadShare Networks, which uses a "Log10"-branded app as part of its logistics software. It's a powerful example of how mathematical precision, engineering concepts, and innovative entrepreneurship can converge in the digital age to reshape entire industries. Given a set of ( n ) resources (e

Implementing a log10 loadshare strategy requires modifying how your proxy layer or service mesh calculates node weights. Below is a conceptual look at how this is structured in code and configuration. The Algorithm Mechanics Instead of selecting a backend node based on a raw metric ( ), the load balancer assigns an inverse routing priority ( ) using a formula similar to this:

The maximum load is 30, and the average load is (20 + 30 + 15 + 25 + 10) / 5 = 20.

Where:

: LoadShare is a key partner in the Open Network for Digital Commerce (ONDC) pilot project, facilitating on-network deliveries across multiple Indian cities like Bangalore, Delhi, and Mumbai. Technical Context: Log10 vs. Load Sharing

Why add 1? To handle zero values. log10(0) is undefined (negative infinity). By adding 1, an idle server with 0 RPS yields log10(1) = 0 . A server with 9 RPS yields log10(10) = 1 . This creates a clean, zero-bound metric.