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

Nandi, Siva Prasad (2025) Serverless databases: Architectural evolution, implementation strategies, and future directions in cloud-native data management. World Journal of Advanced Research and Reviews, 26 (2). pp. 567-574. ISSN 2581-9615

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Abstract

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.

Item Type: Article
Official URL: https://doi.org/10.30574/wjarr.2025.26.2.1591
Uncontrolled Keywords: Agentic AI; Fabric Provisioning; Network Automation; Infrastructure Simulation; Proof-of-Concept Optimization
Depositing User: Editor WJARR
Date Deposited: 27 Jul 2025 15:33
Related URLs:
URI: https://eprint.scholarsrepository.com/id/eprint/2588