_1722956449156001fz1R.png "Anyscale Logo")
Ray offers powerful metrics visualizations powered by graphana and prometheus. Although useful, the setup can take time - and customization can be challenging.
Raydar, an open source project from point72 (https://github.com/Point72/raydar), provides both out-of-the-box live cluster metrics and user visualizations for Ray workflows with just a simple pip install. It helps unlock distributed machine learning visualizations on Anyscale clusters, runs live and at scale, is easily customizable, and enables all the in-browser aggregations that perspective (https://perspective.finos.org/) has to offer. In this talk, we demonstrate the setup steps for Raydar, how to enable generic metrics visualizations, and custom visualizations for a ML workflow.
Raydar, an open source project from point72 (https://github.com/Point72/raydar), provides both out-of-the-box live cluster metrics and user visualizations for Ray workflows with just a simple pip install. It helps unlock distributed machine learning visualizations on Anyscale clusters, runs live and at scale, is easily customizable, and enables all the in-browser aggregations that perspective (https://perspective.finos.org/) has to offer. In this talk, we demonstrate the setup steps for Raydar, how to enable generic metrics visualizations, and custom visualizations for a ML workflow.
