A Method for Optimizing Elastic Scaling Resources of Private Cloud in Digital Grid

Cloud computing improves server utilization and reduces the number of physical servers through virtualization technology, which directly reduces energy consumption and corresponding carbon emissions. The elastic scalability of cloud platforms allows resources to automatically expand or reduce according to actual needs, avoiding excessive resource allocation and waste. In order to further investigate the positive effects of cloud platform elastic scaling on resources in enterprise IT management. This paper summarizes the change rules of elastic scaling resources on cloud in large enterprises by sorting out the business operation characteristics and resource change rules, and classifies and analyzes the three demand scenarios of periodic changes, jitter changes, and stable changes of business resources. It proves through experimental methods that the containerized deployment and elastic scaling configuration methods of cloud platforms can effectively improve the operation efficiency of cloud resources. The application method has also been promoted and verified in many different regions across the country, further proving that it can effectively help enterprises improve resource efficiency and reduce operating costs, and provide a reference for large-scale application of elastic scaling configuration in large enterprises.