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Prerequisite: Review Part 9: Order Splitting Algorithm for the previous module on box estimation and graph coloring algorithms. Warehouse Picker Routing Optimization (GraphHopper & OR-Tools) Answer-first: Minimizing walking distance for warehouse pickers requires solving the Traveling Salesperson Problem (TSP) inside a physical building. The 2026 standard architecture uses a Java-based Indoor GraphHopper instance to generate a 100x100 Distance Matrix from custom OpenStreetMap (OSM) data, which is then fed into a C++ Google OR-Tools gRPC Microservice to calculate the absolute optimal pick sequence in under 15 milliseconds. ...

OSRM Shared Memory on Kubernetes: Live Traffic Updates with Zero-Downtime Answer-first: Operating OSRM on Kubernetes with live traffic updates uses POSIX shared memory (/dev/shm), atomic memory pointer swapping via osrm-datastore, and Multi-Level Dijkstra (MLD) cell customization without restarting routing pods. Sharing a single 15GB graph across 10+ worker pods cuts node RAM usage by 85%+ while delivering sub-2ms P99 matrix latencies and zero-downtime speed updates. The Challenge of Operating Large-Scale OSRM on Kubernetes Normally, the osrm-routed process loads the entire binary map file directly into its Heap Memory. For massive files weighing tens of gigabytes, a single Kubernetes Pod can take anywhere from 5 to 10 minutes to finish loading before it becomes healthy and ready to serve traffic. This creates two fatal operational issues: ...