Evaluating performance and scalability of multi-cloud environments: Key metrics and optimization strategies
Independent researcher.
Research Article
World Journal of Advanced Research and Reviews, 2022, 15(01), 842-857
Publication history:
Received on 10 May 2022; revised on 12 July 2022; accepted on 14 July 2022
Abstract:
With more organizations leveraging multi-cloud strategies to gain flexibility, resilience, and cost efficiency, performance and scalability remain among the biggest evaluation challenges. In this situation, you should understand the high-level performance characteristics of multi-cloud environments, including latency, throughput, availability, and cost. It also highlights some common pitfalls that hamper cloud performance, from data consistency network congestion to vendor lock-in, which creates additional scaling challenges. The paper additionally consists of optimization methods (AI policy, load-balancing, containerization, serverless, etc.) that enhance effectivity. Real-world case studies present success stories and challenges of multi-cloud adoption, while future trends, including edge computing, quantum computing, and AI-driven cloud management, are also examined. The findings emphasize that continuous monitoring and strategic workload distribution are essential for maximizing multi-cloud benefits
Keywords:
Multi-Cloud Performance; Cloud Scalability; Workload Optimization; Cloud Computing; AI-Driven Cloud Management; Edge Computing; Containerization
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Copyright information:
Copyright © 2022 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0