Current Volume 8
In an era of increasingly complex, distributed software systems, traditional monitoring approaches are insufficient for ensuring visibility, performance, and reliability across all components of the stack. This paper presents a conceptual framework for full-stack observability that enables comprehensive, cross-layer insights by integrating telemetry signals—logs, metrics, traces, and events—throughout the frontend, backend, infrastructure, and network layers. Grounded in a synthesis of technological evolution, industry practices, and theoretical constructs, the framework provides an architectural blueprint for how observability components interact and how telemetry flows through the system. It outlines strategies for achieving visibility per system layer, the role of standardization tools such as OpenTelemetry, and the use of intelligent analytics and feedback loops to drive self-healing and continuous improvement. The paper also addresses key challenges including scalability, data privacy, organizational silos, and cultural barriers. By bridging the gap between operational complexity and actionable insights, the proposed model advances both academic understanding and practical implementation of observability in modern distributed environments.
Full-Stack Observability, Distributed Systems, Telemetry Data, DevOps Practices, Observability Framework, Software Reliability
IRE Journals:
Denis Kisina , Oyinomomo-emi Emmanuel Akpe , Samuel Owoade , Bright Chibunna Ubanadu , Toluwase Peter Gbenle; Oluwasanmi Segun Adanigbo
"A Conceptual Framework for Full-Stack Observability in Modern Distributed Software Systems" Iconic Research And Engineering Journals Volume 4 Issue 10 2021 Page 293-302
IEEE:
Denis Kisina , Oyinomomo-emi Emmanuel Akpe , Samuel Owoade , Bright Chibunna Ubanadu , Toluwase Peter Gbenle; Oluwasanmi Segun Adanigbo
"A Conceptual Framework for Full-Stack Observability in Modern Distributed Software Systems" Iconic Research And Engineering Journals, 4(10)