Research Article

A Research on the Native Cloud Monitoring with the Help of Site Reliability Engineering Insights

Volume: 14 Number: 1 June 27, 2026
TR EN

A Research on the Native Cloud Monitoring with the Help of Site Reliability Engineering Insights

Abstract

The demand for scalable and portable applications has accelerated the adoption of distributed systems and cloud computing. To ensure reliability and availability, Site Reliability Engineering (SRE) has become essential. This study compares native cloud monitoring services of Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure within the SRE framework. A PaaS-based sample application was developed using Golang, microservice architecture, API Gateway, and event-driven patterns, supported by relational databases and cloud-native messaging services. Providers’ monitoring tools, along with third-party solutions, were integrated to assess system health. Evaluation focused on objective SRE metrics: variety, cost, alert latency, data collection frequency, and retention. Findings show that GCP provides detailed VM-level metrics without additional configuration in API Gateway setups and achieves the highest message-handling capacity in event-driven architectures. The study offers a comparative analysis of monitoring capabilities and insights into platform suitability for reliability-centric deployments.

Keywords

Supporting Institution

The study was not supported by any institution.

Project Number

Çalışma, herhangi bir proje tarafından desteklenmemiştir.

Ethical Statement

The study was prepared in accordance with scientific ethical principles.

References

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  3. Musa, J. D., & Everett, W. W. (1990). Software-reliability engineering: Technology for the 1990s. IEEE Software, 7(6), 36–43. https://doi.org/10.1109/52.60588
  4. Google. (n.d.). What is Site Reliability Engineering (SRE)? https://sre.google
  5. Niknejad, N., Ismail, W., Ghani, I., Nazari, B., & Bahari, M. (2020). Understanding service-oriented architecture (SOA): A systematic literature review and directions for further investigation. Information Systems, 91, 101491. https://doi.org/10.1016/j.is.2019.101491
  6. İ. K. Aksakalli, T. Çelik, A. B. Can, and B. Tekinerdogan, “Deployment and communication patterns in microservice architectures: A systematic literature review,” Journal of Systems and Software, vol. 180, p. 111014, 2021. doi: 10.1016/j.jss.2021.111014
  7. Jhingran, S., & Rakesh, N. (2023). Performance analysis of microservices behavior in cloud vs containerized domain based on CPU utilization. International Journal of Recent Innovations and Trends in Computing and Communication, 11, 509–516. https://doi.org/10.17762/ijritcc.v11i6s.6959
  8. Aceto, G., Botta, A., Donato, W., & Pescapè, A. (2013). Cloud monitoring: A survey. Computer Networks, 57, 2093–2115. https://doi.org/10.1016/j.comnet.2013.04.001

Details

Primary Language

English

Subjects

Business Process Management, Decision Support and Group Support Systems, Inter-Organisational, Extra-Organisational and Global Information Systems, Information Systems (Other), Software Engineering (Other)

Journal Section

Research Article

Early Pub Date

June 24, 2026

Publication Date

June 27, 2026

Submission Date

September 29, 2025

Acceptance Date

October 27, 2025

Published in Issue

Year 2026 Volume: 14 Number: 1

APA
Koç, C., Uğurlu, B., & Karasulu, B. (2026). A Research on the Native Cloud Monitoring with the Help of Site Reliability Engineering Insights. Mus Alparslan University Journal of Science, 14(1), 29-37. https://doi.org/10.18586/msufbd.1792556
AMA
1.Koç C, Uğurlu B, Karasulu B. A Research on the Native Cloud Monitoring with the Help of Site Reliability Engineering Insights. Mus Alparslan University Journal of Science. 2026;14(1):29-37. doi:10.18586/msufbd.1792556
Chicago
Koç, Canberk, Bora Uğurlu, and Bahadir Karasulu. 2026. “A Research on the Native Cloud Monitoring With the Help of Site Reliability Engineering Insights”. Mus Alparslan University Journal of Science 14 (1): 29-37. https://doi.org/10.18586/msufbd.1792556.
EndNote
Koç C, Uğurlu B, Karasulu B (June 1, 2026) A Research on the Native Cloud Monitoring with the Help of Site Reliability Engineering Insights. Mus Alparslan University Journal of Science 14 1 29–37.
IEEE
[1]C. Koç, B. Uğurlu, and B. Karasulu, “A Research on the Native Cloud Monitoring with the Help of Site Reliability Engineering Insights”, Mus Alparslan University Journal of Science, vol. 14, no. 1, pp. 29–37, June 2026, doi: 10.18586/msufbd.1792556.
ISNAD
Koç, Canberk - Uğurlu, Bora - Karasulu, Bahadir. “A Research on the Native Cloud Monitoring With the Help of Site Reliability Engineering Insights”. Mus Alparslan University Journal of Science 14/1 (June 1, 2026): 29-37. https://doi.org/10.18586/msufbd.1792556.
JAMA
1.Koç C, Uğurlu B, Karasulu B. A Research on the Native Cloud Monitoring with the Help of Site Reliability Engineering Insights. Mus Alparslan University Journal of Science. 2026;14:29–37.
MLA
Koç, Canberk, et al. “A Research on the Native Cloud Monitoring With the Help of Site Reliability Engineering Insights”. Mus Alparslan University Journal of Science, vol. 14, no. 1, June 2026, pp. 29-37, doi:10.18586/msufbd.1792556.
Vancouver
1.Canberk Koç, Bora Uğurlu, Bahadir Karasulu. A Research on the Native Cloud Monitoring with the Help of Site Reliability Engineering Insights. Mus Alparslan University Journal of Science. 2026 Jun. 1;14(1):29-37. doi:10.18586/msufbd.1792556