Cloud Resource Management and Cost Optimization

Cloud Resource Management and Cost Optimization

Anju Bhole

anjusbhole@gmail.com

Independent Researcher, California, USA

Abstract:

Cloud computing has emerged as a pivotal innovation, facilitating businesses in obtaining scalable, adaptable, and economical IT resources. Nonetheless, the intricate nature of cloud infrastructure management may result in unpredictable expenses if resources are not utilized efficiently. As organizations progressively shift their operations to cloud platforms, there is an increasing demand for effective resource management and strategies aimed at cost optimization to avert issues such as over-provisioning, underutilization, and decline in performance. This paper investigates essential strategies for optimizing cloud resource utilization, including auto-scaling, workload placement, and appropriate resource sizing. It also emphasizes cost-reduction methods like intelligent pricing models and dynamic resource allocation. By reviewing contemporary research and established best practices, this study highlights the challenges that businesses encounter when managing cloud resources and proposes solutions to reduce operational costs without compromising performance. Through case studies and empirical evaluations, this paper outlines a framework for proficient cloud resource management that aligns technical capabilities with organizational objectives. The outcomes aim to furnish organizations with practical insights on enhancing their cloud performance while minimizing expenses associated with cloud services.

Keywords

Cloud computing, resource management, cost optimization, auto-scaling, cloud services, workload management, performance optimization, cloud infrastructure, cloud cost model.