Observability-Driven Incident Response: Unifying Logs, Metrics, and Traces for Faster Mean Time to Recovery

Abstract

As systems shift toward distributed architectures, traditional monitoring is insufficient for rapid diagnosis and recovery. This study proposes an observability-driven incident response model that correlates logs, metrics, and traces using consistent context propagation and service topology mapping. The framework introduces alert quality scoring and automated triage playbooks to reduce noise and accelerate root cause isolation. Empirical evaluation demonstrates significant MTTR reduction and improved on-call efficiency, particularly during multi-service incidents affecting customer-facing paths.