Part 7: Load Testing and Performance Tuning for Production
Answer-First: Production load testing for geospatial microservices requires realistic traffic simulation with k6/Vegeta to identify latency spikes and connection pool bottlenecks. Pillar Architecture Guide: This article is part of the GitOps at Scale: Kubernetes & ArgoCD for Microservices series. Please refer to the original article for a comprehensive overview of the architecture. Prerequisite: Before starting load testing, review Part 6: Location Clustering & Semantic Caching. Part 7: Load Testing and Performance Tuning for Production Executive Summary & Quick Answer: Load testing a high-scale routing architecture requires avoiding Coordinated Omission by using K6 open-arrival-rate models (executor: 'constant-arrival-rate'), tuning the Linux kernel TCP stack (sysctl net.core.somaxconn=65535), and profiling Go GC garbage collections using pprof. ...