Modernizing Transitional Enterprise Systems Through Site Reliability Engineering Architecture and Monitoring Models
Keywords:
Site Reliability Engineering, Enterprise Modernization, Legacy SystemsAbstract
The modernization of transitional enterprise systems remains a critical challenge for organizations operating with legacy retail infrastructures, fragmented applications, and increasing demands for reliability, scalability, and real-time operational visibility. Traditional enterprise environments often struggle with service instability, limited monitoring capabilities, inefficient incident response mechanisms, and insufficient integration between development and operations teams. This research examines the role of Site Reliability Engineering (SRE) architecture and advanced monitoring models in transforming transitional enterprise systems into resilient, observable, and performance-driven digital platforms. The study develops a conceptual framework integrating SRE principles, observability engineering, distributed tracing, telemetry management, and reliability-oriented operational practices. Based exclusively on existing contributions related to SRE, distributed observability, system telemetry, software metrics, and cloud infrastructure evolution, the research analyzes how reliability engineering approaches can address limitations within legacy retail systems. The findings indicate that SRE-based modernization enables improved incident management, predictive operational analysis, enhanced service availability, and better alignment between business requirements and technical performance objectives. The proposed framework emphasizes the transition from reactive maintenance strategies toward proactive reliability management through measurable service-level objectives, comprehensive monitoring architectures, and data-driven operational decision-making. The research contributes a structured understanding of how enterprises can adopt reliability-centered modernization strategies while managing technological constraints, operational complexity, and integration challenges.
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Copyright (c) 2026 Dr. Kwame Asante, Dr. Ama Serwaa Mensah

This work is licensed under a Creative Commons Attribution 4.0 International License.
Individual articles are published Open Access under the Creative Commons Licence: CC-BY 4.0.