# Ray Grafana dashboards
<a name="sagemaker-hyperpod-ray-observability-dashboards"></a>

The SageMaker HyperPod Observability add-on provisions Grafana dashboards for your Ray workloads. You get them without importing dashboard JSON yourself.

The add-on provisions the following dashboards:
+ **Ray Core** — cluster resources, tasks, actors, and node state.
+ **Ray Data** — dataset throughput and operator progress.
+ **Ray Train** — training run progress and worker state.
+ **Ray Serve** — request rate, latency, and replica state.

## Filtering a dashboard
<a name="sagemaker-hyperpod-ray-observability-dashboards-filtering"></a>

Each dashboard exposes filters so you can scope a view to one workload:
+ **Cluster name** — the HyperPod cluster, backed by the `cluster_name` label
+ **Cluster ID** — the HyperPod cluster, backed by `cluster_id`
+ **Namespace** — backed by `namespace`
+ **Ray cluster** — the Ray cluster, backed by `ray_io_cluster`

Set the filters to a running cluster to see its metrics. For more information about opening Grafana and access roles, see [Observability for Amazon SageMaker HyperPod cluster orchestrated by Amazon EKS](sagemaker-hyperpod-eks-cluster-observability.md).