During September 2025, this developer enhanced observability in the ray-project/kuberay repository by adding the Custom Resource UID as a label to metrics for both RayCluster and RayJob. Using Go and the controller-runtime framework within a Kubernetes environment, they instrumented the metrics pipeline to enable unique identification of each custom resource instance. This technical approach allows for more accurate monitoring and faster troubleshooting by supporting precise correlation between metrics and specific Ray deployments. The work focused on metrics instrumentation and laid the foundation for improved cross-resource monitoring, demonstrating a solid understanding of observability and Kubernetes operator development practices.