Observability for Distributed Services: Metrics, Tracing, and Log Correlation in Multi-AZ Deployments

Abstract

Author(s): Noah Martinez, Priya O'Connor, Chen Rossi. This study explores observability for distributed services: metrics, tracing, and log correlation in multi-az deployments with a focus on practical engineering trade-offs in modern cloud-native environments. We present an implementation-driven methodology, reference architectures, and evaluation criteria that teams can adopt in reliability engineering programs. Results highlight measurable improvements in reliability, security posture, and end-user performance when the proposed practices are applied.