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Enhancing Client Satisfaction Through Distributed Service Monitoring: An Integrative Literature Review of Monitoring Architectures, Service Performance and IT Governance in Digital Service Environments


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 :

  1. 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.
  2. 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.
  3. De Haes, S., Van Grembergen, W., & Joshi, A. (2021). Enterprise governance of information technology (3rd ed.). Springer.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.

Paper Submission Last Date
30 - June - 2026

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