
International Journal of Leading Research Publication
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Volume 6 Issue 4
April 2025
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Evaluating the Architectural Patterns for Multi-Tenant Deployments
Author(s) | Adya Mishra |
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Country | United States |
Abstract | Multi-tenant Office 365 deployments are increasingly adopted by organizations looking to extend Microsoft 365 services across multiple business units, subsidiaries, or acquired entities. This review paper examines the architectural patterns commonly used in such scenarios, ranging from fully isolated tenants—prioritizing data and administrative autonomy—to consolidated, single-tenant approaches that centralize governance and simplify collaboration. A hub-and-spoke framework and other transitional models (e.g., for mergers and acquisitions) are also explored, each presenting distinct benefits and drawbacks. Key considerations include identity management, cross-tenant collaboration, regulatory compliance, and operational complexity. Through real-world case studies and best practices, the paper highlights how consistent governance, automation, and strategic planning can address common challenges such as inconsistent policies, user confusion, or conflicting domain requirements. Finally, it discusses emerging trends—like multi-geo capabilities, enhanced cross-tenant sharing features, and zero trust frameworks—that may reshape how organizations structure multi-tenant environments moving forward. By evaluating architectural trade-offs and implementing robust oversight, businesses can achieve a secure, streamlined, and scalable Office 365 ecosystem tailored to their unique operational needs. |
Keywords | Multi-tenant, Hybrid Cloud, SaaS, Identity Management |
Field | Engineering |
Published In | Volume 4, Issue 12, December 2023 |
Published On | 2023-12-05 |
Cite This | Evaluating the Architectural Patterns for Multi-Tenant Deployments - Adya Mishra - IJLRP Volume 4, Issue 12, December 2023. DOI 10.5281/zenodo.14769548 |
DOI | https://doi.org/10.5281/zenodo.14769548 |
Short DOI | https://doi.org/g83ktt |
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IJLRP DOI prefix is
10.70528/IJLRP
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