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 RayCluster and RayJob. Using Go and the controller-runtime framework within a Kubernetes environment, they modified the metrics instrumentation to enable unique identification of each resource instance. This technical approach allows for more accurate monitoring and supports site reliability engineering workflows by making it easier to correlate metrics with specific custom resources. The work focused on improving the depth of monitoring capabilities, laying a foundation for more granular troubleshooting and cross-resource analysis in distributed Ray deployments.