This study investigates techniques for maximizing performance and optimization of resources within cloud computing. It highlights the value of effective allocation of resources, network optimization, load balancing, and cost-aware methods. Case studies of the real world demonstrate the effective implementation of these techniques, as a result, enhanced scalability, performance, and savings of cost. The study also emphasizes the future scope of the study, incorporating the combination of machine learning, developing technologies, and edge computing. The aim of this study is to help organizations in gaining resource utilization, and optimal performance within cloud computing environments, by giving understanding to the resource optimization methods.

PERFORMANCE OPTIMIZATION, LOAD BALANCING, COST EFFICIENCY, RESOURCE ALLOCATION, NETWORK OPTIMIZATION, RESOURCE UTILIZATION, AND CLOUD COMPUTING.