Engineering End-to-End Observability for Kubernetes Workloads

A team spent forty minutes correlating data across four separate tools to trace a checkout service latency issue to a misconfiguration. The problem was not missing alerts but conflicting signals from dashboards showing pod memory, downstream API errors, and node CPU. End-to-end observability unifies these signals into a single coherent view.