Multi-tenancy: Deep dive on how cloud platforms serve many users at once

This article provides a comprehensive exploration of multi-tenancy in cloud computing environments, examining how a single infrastructure efficiently serves multiple users while maintaining isolation. It explores the architectural foundations, implementation strategies, and operational considerations that make multi-tenancy the cornerstone of modern cloud platforms. Beginning with an examination of fundamental concepts, it contrasts multi-tenant and single-tenant models, highlighting the economic and operational advantages of shared architectures. It covers essential components including Kubernetes namespace isolation, resource management strategies, service mesh implementation, identity and access management frameworks, and containerization benefits. Three principal multi-tenancy models—silo, bridge, and pool—are evaluated based on their isolation characteristics, resource efficiency, and appropriate use cases. It further addresses critical operational considerations including monitoring requirements, data isolation strategies, tenant lifecycle management, and security challenges. Throughout the analysis, the article emphasizes that effective multi-tenancy requires careful balancing of resource efficiency and tenant isolation, with implementation approaches tailored to specific application requirements and security needs rather than adopting one-size-fits-all solutions.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-31
DOI
https://doi.org/10.5281/zenodo.17291988
Primary Topic
Statistical Methods and Bayesian Inference
Type
article
Field-Weighted Citation Impact
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article

Multi-tenancy: Deep dive on how cloud platforms serve many users at once

Zenodo (CERN European Organization for Nuclear Research)
Statistical Methods and Bayesian Inference
article

Multi-tenancy: Deep dive on how cloud platforms serve many users at once

article en

Abstract

This article provides a comprehensive exploration of multi-tenancy in cloud computing environments, examining how a single infrastructure efficiently serves multiple users while maintaining isolation. It explores the architectural foundations, implementation strategies, and operational considerations that make multi-tenancy the cornerstone of modern cloud platforms. Beginning with an examination of fundamental concepts, it contrasts multi-tenant and single-tenant models, highlighting the economic and operational advantages of shared architectures. It covers essential components including Kubernetes namespace isolation, resource management strategies, service mesh implementation, identity and access management frameworks, and containerization benefits. Three principal multi-tenancy models—silo, bridge, and pool—are evaluated based on their isolation characteristics, resource efficiency, and appropriate use cases. It further addresses critical operational considerations including monitoring requirements, data isolation strategies, tenant lifecycle management, and security challenges. Throughout the analysis, the article emphasizes that effective multi-tenancy requires careful balancing of resource efficiency and tenant isolation, with implementation approaches tailored to specific application requirements and security needs rather than adopting one-size-fits-all solutions.

Zenodo (CERN European Organization for Nuclear Research)
San Jose State University (US)
Decent work and economic growth
Openalex Percentile: Top 39%
Statistical Methods and Bayesian Inference
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