Authors :
Cerilo B. Rubin, Jr.
Volume/Issue :
Volume 11 - 2026, Issue 5 - May
Google Scholar :
https://tinyurl.com/mw7b68xp
Scribd :
https://tinyurl.com/4f3uf6y5
DOI :
https://doi.org/10.38124/ijisrt/26May910
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Distributed systems (cloud, microservices, edge) increase operational complexity and reduce centralized
visibility, challenging client satisfaction. This integrative literature review synthesizes 2018–2024 peer-reviewed research
on distributed service monitoring, service performance, and IT governance. Using Scopus, IEEE Xplore, ACM Digital
Library, and SpringerLink, 35 studies were selected. Four themes emerged: (1) evolution from infrastructure monitoring
to observability (metrics, logs, traces); (2) architectural patterns for monitoring in microservices; (3) service performance
(reliability, responsiveness, availability) as mediator between monitoring and client satisfaction; (4) IT governance as
critical enabler translating monitoring data into action. Key gaps include lack of integrated frameworks, limited empirical
testing, and underexplored multi-cloud contexts. A conceptual framework linking monitoring architecture, performance
mediators, governance, and client satisfaction is proposed. Findings support SDG 9 by promoting resilient digital
infrastructure.
Keywords :
Distributed Service Monitoring, Client Satisfaction, Observability, IT Governance, Service Performance.
References :
- Al-Dhuraibi, Y., Paraiso, F., Djarallah, N., & Merle, P. (2020). Microservices in cloud computing: Benefits, challenges, and research directions. IEEE Communications Surveys & Tutorials, 22(1), 438–472.
- Brunnert, A., van Hoorn, A., Willnecker, F., & Danciu, A. (2022). Evaluating observability for cloud-native applications. IEEE Transactions on Services Computing, 15(4), 2211–2224.
- De Haes, S., Van Grembergen, W., & Joshi, A. (2021). Enterprise governance of information technology (3rd ed.). Springer.
- Dragoni, N., Giallorenzo, S., Lafuente, A. L., Mazzara, M., Montesi, F., Mustafin, R., & Safina, L. (2022). Microservices: Yesterday, today, and tomorrow. In Present and ulterior software engineering (pp. 195–216). Springer.
- Ghosh, R., Naik, V., & Trivedi, K. S. (2023). Monitoring and anomaly detection in distributed cloud systems: A survey. ACM Computing Surveys, 55(8), 1–36.
- Santos, J. B., Reis, J., & Amorim, M. (2021). Digital service quality and customer satisfaction in technology-enabled services. Journal of Business Research, 134, 102–113.
- Syed, R., Bandara, W., French, E., & Stewart, G. (2020). Value realization from business analytics: A process-oriented perspective. European Journal of Information Systems, 29(4), 415–432.
- Wamba, S. F., Queiroz, M. M., & Trinchera, L. (2020). Dynamics between information technology capability and organizational performance. Information Systems Frontiers, 22(3), 675–689.
Distributed systems (cloud, microservices, edge) increase operational complexity and reduce centralized
visibility, challenging client satisfaction. This integrative literature review synthesizes 2018–2024 peer-reviewed research
on distributed service monitoring, service performance, and IT governance. Using Scopus, IEEE Xplore, ACM Digital
Library, and SpringerLink, 35 studies were selected. Four themes emerged: (1) evolution from infrastructure monitoring
to observability (metrics, logs, traces); (2) architectural patterns for monitoring in microservices; (3) service performance
(reliability, responsiveness, availability) as mediator between monitoring and client satisfaction; (4) IT governance as
critical enabler translating monitoring data into action. Key gaps include lack of integrated frameworks, limited empirical
testing, and underexplored multi-cloud contexts. A conceptual framework linking monitoring architecture, performance
mediators, governance, and client satisfaction is proposed. Findings support SDG 9 by promoting resilient digital
infrastructure.
Keywords :
Distributed Service Monitoring, Client Satisfaction, Observability, IT Governance, Service Performance.