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

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 stric...

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Vydáno v:International Journal of Scientific Research in Computer Science, Engineering and Information Technology Ročník 11; číslo 1; s. 307 - 317
Hlavní autor: Rishi Kumar Sharma
Médium: Journal Article
Jazyk:angličtina
Vydáno: 03.01.2025
ISSN:2456-3307, 2456-3307
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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.
AbstractList 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.
Author Rishi Kumar Sharma
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Cites_doi 10.5815/ijitcs.2024.04.01
10.1016/j.scico.2018.04.006
10.1016/j.jksuci.2023.101671
10.1145/3671151.3671183
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