Harnessing ClusterPedia's Graph Engine Extension: Unleashing Observability in Financial Cloud Multi-Clusters In complex cloud-native environments, managing Kubernetes resources across multiple clusters is daunting. To tackle this, we've implemented a new graph database layer for ClusterPedia. Here, Kubernetes resources are stored as nodes and inter-resource relationships as edges. This approach enhances visualization, observability, and application potential. Our goal is to assist professionals managing multiple Kubernetes clusters in finance. By utilizing ClusterPedia's graph storage, we enable thorough resource analyses, fault tracing, topology visualization, and cross-cluster issue resolution to improve efficiency. We invite all Kubernetes users, developers, and researchers for a knowledge-sharing session, exploring further applications like service mesh optimization, refined scheduling, and security risk detection.