Data Dashboard

The Data dashboard is a centralized tool for debugging Ray Data workloads. It's a proprietary replacement for the open-source Data dashboard that enables users to monitor and debug Ray Data workloads more efficiently.

Accessing the Data dashboard

To access the Data dashboard, click the Ray Workloads tab in the Jobs or Workspaces page. Then, select the Data tab.

Note: The dashboard is available only for Ray version 2.44 and higher. It's empty for lower versions of Ray.

The dashboard offers a high-level overview of your entire workload pipeline, displaying key debugging metrics such as CPU and GPU usage, the number of output and queued rows, throughput, and more. Operators are listed in reverse order, with the first row representing the final output of the dataset and the last row representing the input. This design allows the UX to render the pipeline as a tree view, making it easier to visualize complex datasets.

Additionally, it offers an in-depth analysis tool, allowing you to click on individual operators to view operator-specific metrics, such as estimated remaining runtime, peak memory usage, and other relevant details.

Persistence

The Data Dashboard remains available even after a job or workspace is terminated. By selecting a past session from the Session dropdown in the top-right corner, you can access historical data and continue debugging as needed.