Unified Hybrid Multi Cloud Modernization Playbook Governance, Interoperability, and Operational Resilience
DOI:
https://doi.org/10.15680/pcw98658Keywords:
Playbook, Hybrid, Governance, Operational Resilience, Multi-Cloud, Interoperability, ModernizationAbstract
In this paper, a quantitative assessment of a Unified Hybrid Multi-Cloud Modernization Playbook that aimed to enhance governance, interoperability, and operational resilience will be introduced. The analysis of the data of three large cloud providers, AWS, Azure, and Google Cloud, was conducted to quantify the effects on the performance, cost efficiency, and reliability. The outcomes demonstrate the evident positive results in terms of the workload deployment speed, deployment compliance, and fault recovery time. The analysis and automation scripts were written in Python, which allows the researcher to point out quantifiable performance improvements across cloud environments. Generally, the playbook offers a highly systematic, scaled format to companies that hope to modernize their operation without compromising good standards of governance and interoperability
References
[1] Pourmajidi, W., Zhang, L., Steinbacher, J., Erwin, T., & Miranskyy, A. (2025). A reference architecture for governance of cloud native applications. IEEE Transactions on Cloud Computing, 13(3), 935–952. https://doi.org/10.1109/tcc.2025.3578557
[2] Venkatakota, S. & NTT DATA Americas, Inc. (2025). Unified data governance strategies for multi-cloud ecosystems across industries with a comprehensive framework approach [Journal-article]. Journal of Advance and Future Research, 3(4), 216–217. https://rjwave.org/jaafr/papers/JAAFR2504030.pdf
[3] Hamdan, N. M., a, Admodisastro, N., Osman, H. B., Muhammad, M. S. B., & Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Serdang, Selangor, Malaysia. (2024). Semantic Interoperability in Multi-Cloud Platforms: A reference architecture utilizing an Ontology-Based approach. IJASEIT, 14–14(6). https://ijaseit.insightsociety.org/index.php/ijaseit/article/download/19861/4496/49555
[4] Pellikoduku, S. K. (2025). ENHANCING MULTI-CLOUD INTEROPERABILITY WITH AI-DRIVEN ORCHESTRATION. INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY AND MANAGEMENT INFORMATION SYSTEMS, 16(2), 211–224.https://doi.org/10.34218/ijitmis_16_02_015
[5] Nuti, S. (2025). Architecting Resilient Hybrid Multi-Cloud Infrastructures: A Strategic Framework for Enterprise IT. ISCSITR- INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND ENGINEERING, 6(4), 1–14. https://doi.org/10.63397/iscsitr-ijcse_2025_06_04_001
[6] Kumar, R. (2021). Multi-Cloud and hybrid cloud strategies – balancing flexibility, cost, and security. International Journal for Multidisciplinary Research, 3(2). https://doi.org/10.36948/ijfmr.2021.v03i02.39459
[7] Hope, O. S. (2023). Multi-cloud strategy for enterprise applications: Cost, performance, and resilience considerations. International Journal of Cloud Computing and Database Management, 4(1), 63–73. https://doi.org/10.33545/27075907.2023.v4.i1a.104
[8] Gupta, S. (2025). HYBRID CLOUD INTEGRATION AND MULTICLOUD DEPLOYMENTS a COMPREHENSIVE REVIEW OF STRATEGIES, CHALLENGES, AND BEST PRACTICES. International Journal of Advanced Research in Computer Science, 16(2), 59–64. https://doi.org/10.26483/ijarcs.v16i2.7233
[9] Oladosu, N. S. A., Ige, N. a. B., Ike, N. C. C., Adepoju, N. P. A., Amoo, N. O. O., & Afolabi, N. a. I. (2022). Reimagining multi-cloud interoperability: A conceptual framework for seamless integration and security across cloud platforms. Open Access Research Journal of Science and Technology, 4(1), 071–082. https://doi.org/10.53022/oarjst.2022.4.1.0026
[10] Torres-Charles, C. A., Sanchez-Gallegos, D. D., Gonzalez-Compean, J. L., Morales-Sandoval, M., & Carretero, J. (2025). Xook-Sec: A policy-as-code framework for secure data-sharing on the computing continuum. Cluster Computing, 28(14). https://doi.org/10.1007/s10586-025-05612-6
