The increasing complexity and microservice of application systems promote the widespread use of containers. Enterprises often build multiple clusters for container arrangement and management and resource allocation with Kubernetes according to their business needs. To monitor the working status and resource usage by multiple clusters in real time, this study proposes a multi-cluster resource monitoring scheme for Kubernetes. The CPU, memory, network, and storage indicators provided by Kubernetes are collected, and part of the data collected are calculated according to their data type to obtain more intuitive monitoring indicators. As a result, multi-level and multi-type storage is achieved, and REST interfaces for monitoring data are provided. Experiments verify that this design consumes a small amount of cluster resources and achieves good performance.