Monitoring Ray jobs with metrics - AWS Glue

Monitoring Ray jobs with metrics

You can monitor Ray jobs using AWS Glue Studio and Amazon CloudWatch. CloudWatch collects and processes raw metrics from AWS Glue with Ray, which makes them available for analysis. These metrics are visualized in the AWS Glue Studio console, so you can monitor your job as it runs.

For a general overview of how to monitor AWS Glue, see Monitoring AWS Glue using Amazon CloudWatch metrics. For a general overview of how to use CloudWatch metrics that are published by AWS Glue, see Monitoring with Amazon CloudWatch.

Monitoring Ray jobs in the AWS Glue console

On the details page for a job run, below the Run details section, you can view pre-built aggregated graphs that visualize your available job metrics. AWS Glue Studio sends job metrics to CloudWatch for every job run. With these, you can build a profile of your cluster and tasks, as well as access detailed information about each node.

For more information about available metrics graphs, see Viewing Amazon CloudWatch metrics for a Ray job run.

Overview of Ray jobs metrics in CloudWatch

We publish Ray metrics when detailed monitoring is enabled in CloudWatch. Metrics are published to the Glue/Ray CloudWatch namespace.

  • Instance metrics

    We publish metrics about the CPU, memory and disk utilization of instances assigned to a job. These metrics are identified by features such as ExecutorId, ExecutorType and host. These metrics are a subset of the standard Linux CloudWatch agent metrics. You can find information about metric names and features in the CloudWatch documentation. For more information, see Metrics collected by the CloudWatch agent.

  • Ray cluster metrics

    We forward metrics from the Ray processes that run your script to this namespace, then provide those most critical for you. The metrics that are available might differ by Ray version. For more information about which Ray version your job is running, see AWS Glue versions.

    Ray collects metrics at the instance level. It also provides metrics for tasks and the cluster. For more information about Ray's underlying metric strategy, see Metrics in the Ray documentation.


We don't publish Ray metrics to the Glue/Job Metrics/ namespace, which is only used for AWS Glue ETL jobs.