Container monitoring is one of the most important factors in ensuring the proper functioning of container infrastructure. However, the dimensions of current container monitoring are single, and there is a lack of intuitive and effective methods to assist operation engineers in locating the cause of anomalies in the business container. Therefore, this study proposes a multi-dimensional container monitoring system for Kubernetes. Through the correlation analysis of monitoring metrics, it provides highly relevant metrics as the core metrics of multi-dimensional monitoring for operation engineers and thus better implements comprehensive container monitoring.