With the rise of cloud computing technology and the continuous improvement and progress, at the same time, in the environment of technological innovation, the demand for information construction is becoming more and more urgent. The purpose of this paper is the design and implementation of distributed resource management and platform deployment based on logical clocks. After comparing container technology and virtual machine technology, this paper uses cloud computing-related technologies such as containers and orchestration tools to analyze scheduling strategies within the laboratory, platform design and service deployment to build a resource management platform. After studying the scheduling strategy, this paper designs, implements and deploys the platform and services. The hardware, network and other environments of the laboratory are configured and planned, and then the overall architecture of the resource management platform is designed. Latency test results for business deployments show that when the data grows significantly, the time taken by the system also increases, especially when the data goes from 500 MB to 1 GB. The delay test results of service unloading show that the size of the data does not have a great impact on the delay of unloading services, but the overall efficiency of the distributed resource management.