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eISSN: 2582-8185 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Serverless databases: Architectural evolution, implementation strategies, and future directions in cloud-native data management

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  • Serverless databases: Architectural evolution, implementation strategies, and future directions in cloud-native data management

Siva Prasad Nandi * 

University of Madras, India.

Review Article

World Journal of Advanced Research and Reviews, 2025, 26(02), 567-574

Article DOI: 10.30574/wjarr.2025.26.2.1591

DOI url: https://doi.org/10.30574/wjarr.2025.26.2.1591

Received on 17 March 2025; revised on 30 April 2025; accepted on 02 May 2025

The evolution of modern data centers demands innovative approaches to fabric provisioning, particularly when integrating new switches, hosts, and storage into existing infrastructures. This article introduces a Smart Fabric Provisioning solution powered by Agentic AI that transforms traditional manual processes into automated, intelligent workflows. By creating dynamic full-mesh fabrics with simulated environments, the solution addresses critical challenges in solution qualification and resource utilization during proof-of-concept phases. The AI-driven approach enables logical link manipulation to test various conditions without physical reconfiguration, significantly streamlining deployment workflows while reducing human error. This dual-purpose technology serves both as an internal efficiency tool for engineering teams across multiple geographies and as a valuable automated offering for end customers, representing a paradigm shift in how network fabrics are provisioned, tested, and deployed. 

Agentic AI; Fabric Provisioning; Network Automation; Infrastructure Simulation; Proof-of-Concept Optimization

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-1591.pdf

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Siva Prasad Nandi. Serverless databases: Architectural evolution, implementation strategies, and future directions in cloud-native data management. World Journal of Advanced Research and Reviews, 2025, 26(2), 567-574. Article DOI: https://doi.org/10.30574/wjarr.2025.26.2.1591

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


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