Operational Excellence through Cloud-Native Distributed Systems
DOI:
https://doi.org/10.22399/ijcesen.5207Keywords:
Cloud-native systems, distributed architectures, operational excellence, automation maturity, scalability elasticity, observabilityAbstract
Operational excellence has become a critical objective for enterprises operating in complex, digitally driven, and highly distributed environments. Traditional centralized and monolithic system architectures increasingly struggle to meet demands for scalability, resilience, efficiency, and continuous service delivery. This study examines how cloud-native distributed systems enable operational excellence by analyzing the combined effects of architectural modularity, scalability elasticity, automation maturity, and observability. Using a quantitative explanatory research design, operational and system-level data from cloud-native enterprise environments were analyzed through descriptive statistics, correlation analysis, and multivariate regression modeling. The results reveal that cloud-native capabilities significantly improve operational performance, with automation maturity and scalability elasticity emerging as the strongest predictors of operational excellence. Additionally, the findings demonstrate that higher cloud-native maturity reduces operational variability and enhances performance predictability. The study contributes empirical evidence linking cloud-native distributed system design to multidimensional operational excellence outcomes and provides strategic insights for enterprises seeking to build resilient, efficient, and scalable operational models through cloud-native adoption.
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