Ray 2.1 introduces a new feature that displays native time series metrics as part of its dashboard, allowing users to view insights into the scheduling and performance of their Ray workloads. This feature provides easy integration with Prometheus and Grafana, enabling users to monitor and debug their production environments more effectively. The dashboard now displays time series graphs for critical system states such as scheduler slot usage, CPU/GPU utilization, memory usage, and task states over time. Additionally, the Ray 2.1 release exposes time series charts for both physical and logical resource slot usage, providing users with a better understanding of cluster utilization. This new feature addresses the observability imperative in distributed systems, enabling users to monitor and debug their Ray production workloads more efficiently.