Application‑Based Automated Capacity Management and Utilization Evaluation
The article presents a comprehensive, application‑centric approach to automated capacity management that analyzes why server utilization is low, defines safe usage thresholds, describes a load‑balancer‑driven stress‑testing workflow with regression modeling, and explains how this practice improves resource efficiency, cost savings, and developer‑ops collaboration.
