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Optimizing Multi-Cloud Environments Advanced Database Technologies for Scalable and Resilient Education and Training Systems
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Author(s): Sanjay Ramdas Bauskar (Pharmavite LLC, USA)
Copyright: 2025
Pages: 18
Source title:
Integrating AI and Sustainability in Technical and Vocational Education and Training (TVET)
Source Author(s)/Editor(s): Ali Sorayyaei Azar (University of Malaya, Malaysia), Shashi Kant Gupta (Eudoxia Research University, USA), Hamed Taherdoost (Department of Arts, University Canada West, Canada & GUS Institute, Global University Systems, UK & College of Technology and Engineering, Westcliff University, USA & Gisma University of Applied Sciences, Germany & Q Minded, Quark Minded Technology, Canada & Research and Development Department, Hamta Business Corporation, Canada)and Fahima Alhamaty (Harvard Business Review, Kuwait)
DOI: 10.4018/979-8-3373-1142-5.ch009
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Abstract
The adoption of multi-cloud environments has become a strategic imperative for organizations seeking to enhance scalability, resilience, and operational flexibility. This paper explores the integration of advanced database technologies to optimize multi-cloud deployments, addressing challenges such as data consistency, latency, and cost efficiency. Key strategies include leveraging distributed databases, employing database sharding, and implementing cloud-native database solutions. The paper also examines the role of automation, AI-driven optimization, and real-time analytics in achieving seamless interoperability across diverse cloud platforms. By presenting case studies and best practices, this study provides actionable insights for organizations aiming to build robust, scalable, and resilient multi-cloud architectures.
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