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This paper compares resource management and cost efficiency across AWS, Google Cloud, and Microsoft Azure, focusing on pricing, cost optimization features, and resource management techniques like auto-scaling and load balancing. It evaluates performance, scalability, reliability, security features, and compliance standards of each platform. The study aims to guide organizations in selecting the optimal cloud platform based on their specific needs by examining the management interfaces of each.
Navigating the cloud platform jungle? This comparative analysis reveals the resource management and cost efficiency tradeoffs between AWS, Google Cloud, and Azure.
This study presents a comparative evaluation of resource management and cost efficiency among three major cloud platforms: Amazon Web Services (AWS), Google Cloud (GCC), and Microsoft Azure. It explores their pricing structures, cost optimization features, and resource management techniques such as auto-scaling, load balancing, and provisioning. The paper also assesses the performance, scalability, and reliability of each platform. Additionally, security features and compliance standards are analyzed to understand their impact on business operations. By examining their management interfaces, this research aims to assist organizations in choosing the most suitable cloud platform based on resource requirements, budget constraints, and operational needs, ultimately optimizing performance and cost efficiency.
