EconPapers    
Economics at your fingertips  
 

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

Rishi Kumar Sharma

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2025, vol. 11, issue 1, 307-317

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.

Keywords: Multi-tenant Architecture; Cloud Computing; AI-Driven Observability; Resource Optimization; Security Implementation (search for similar items in EconPapers)
Date: 2025
Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT25111236
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijsrcseit.com/home/article/view/CSEIT25111236 Article URL (text/html)
https://ijsrcseit.com/home/article/download/CSEIT25111236/CSEIT25111236 Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jbh:ijsrcs:v11:y2025:i1:id:682

DOI: 10.32628/CSEIT25111236

Access Statistics for this article

More articles in International Journal of Scientific Research in Computer Science, Engineering and Information Technology from International Journal of Scientific Research in Computer Science, Engineering and Information Technology
Bibliographic data for series maintained by Pankaj Sharma (USA) ().

 
Page updated 2026-09-18
Handle: RePEc:jbh:ijsrcs:v11:y2025:i1:id:682