Cloudera Docs

Accessing Cloudera AI Workbench in Cloudera Observability

Steps for accessing the Cloudera AI Workbench in Cloudera Observability to monitor all workbenches within the Cloudera AI environment, individual workbench, Cloudera AI workload performance by category (job, sessions, model, and application), and analyze workbench and resource usage.

  1. Log in to the Cloudera Observability web UI
  2. Verify that the Active System Monitoring link is highlighted in the main navigation panel.
  3. On the Environments page, from the Environments list, select the Cloudera AI Workbench environment.
    A list of Cloudera AI Workbenches and their current versions are displayed.
  4. Click the environment name.
  5. From the Cloudera AI summary dashboard, monitor all workbenches within the Cloudera AI Workbench environment and analyze workbench and resource usage.
  6. Click Real Time or Analytics tabs.
    1. The Real Time section displays active, running workloads, and provides instantaneous utilization metrics.
    2. The Analytics section focuses on completed workloads and features widgets designed for resource efficiency analysis and cost estimation.

    From the active workbenches list, click the workbench name link to monitor an individual workbench and analyze resource usage by nodes. Additionally, you can monitor Cloudera AI workload performance metrics by category (job, sessions, model, and application).