Multi-Tenant Architectures in Modern Cloud Computing: A Technical Deep Dive

Authors

  • Rishi Kumar Sharma Verisk, Boston, MA, USA Author

DOI:

https://doi.org/10.32628/CSEIT25111236

Keywords:

Multi-tenant Architecture, Cloud Computing, AI-Driven Observability, Resource Optimization, Security Implementation

Abstract

This comprehensive article explores the evolution and implementation of multi-tenant architectures in modern cloud computing environments, focusing on their role in Software-as-a-Service solutions. The article examines how these architectures enable efficient resource sharing while maintaining strict data isolation among tenants. This article demonstrates how integrating AI-driven observability frameworks and advanced security mechanisms, such as IAM and KMS, can improve scalability by 70% and reduce operational costs by 60%, offering practical solutions to modern multi-tenant architecture challenges. The article delves into core technical components, including data layer implementation and compute layer architecture, while analyzing advanced security measures and AI-driven observability frameworks. Through extensive case studies and research analysis, the article demonstrates how multi-tenant architectures have revolutionized cloud service delivery by optimizing resource utilization, enhancing operational efficiency, and ensuring robust security measures across various industry sectors.

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References

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Published

03-01-2025

Issue

Section

Research Articles

How to Cite

[1]
Rishi Kumar Sharma, “Multi-Tenant Architectures in Modern Cloud Computing: A Technical Deep Dive”, Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol, vol. 11, no. 1, pp. 307–317, Jan. 2025, doi: 10.32628/CSEIT25111236.