Monitor Cloudera AI Workbench and workload performance using Cloudera Observability
With Cloudera Observability, you can collect metrics from Cloudera AI and obtain detailed information about the resources used in the Cloudera AI service.
From the Cloudera AI Workbench Summary dashboard, you can monitor multiple Cloudera AI Workbenches at the Cloudera AI service level and manage the individual workbenches. From the Cloudera AI Workbench dashboard, you can monitor, optimize, and troubleshoot Cloudera AI workloads such as sessions, jobs, models, and applications, categorized by the user, team, and project.
How to enable Cloudera AI feature in Cloudera Observability
- Confirm with Cloudera Support that your account is enabled for the feature from the Cloudera side with appropriate entitlements.
- Enable the outbound traffic. For information, see AWS outbound network access destinations.
- Installation of Cloudera Observability components on the Cloudera AI Workbench with Cloudera AI 2.0.46 version and higher:
- For existing workbenches:
- If the existing workbenches are upgraded from an older version to the Cloudera AI 2.0.46 version or higher, the Cloudera Observability components are installed automatically during the upgrade.
- If the existing workbench is already on the latest version of Cloudera AI, you must suspend the workbench, and then
resume the workbench. The Cloudera Observability components are enabled
automatically within 12 hours.
For information on suspending and resuming the workbench, see Suspend and resume Cloudera AI Workbenches in Cloudera AI documentation.
- For new workbenches created with the Cloudera AI version
2.0.46 or higher, the Cloudera Observability components are installed
automatically.
For information on creating a new workbench, see Provisioning Cloudera AI Workbenches in Cloudera AI documentation.
- For existing workbenches:
