Data Science & AI Workbench enables you to see which sessions and deployments are running on specific nodes or by specific users, so you can monitor cluster resource usage. You can also view session details for a specific user in the Authorization Center. See Managing users for more information.
Log in to Workbench, select Menu in the top right corner and click the Administrative Console link displayed at the bottom of the slide out window.
To display the monitoring graph for a user session or deployment you’ll need to identify the appropriate Kubernetes pod name.For an editor session the Kubernetes pod name corresponds to the hostname of the session container. Run hostname in a terminal window. For deployments the pod name is available from the logs tab of the deployment under the heading name.
Click the Monitoring tab from the menu on the left
Click Cluster at the top left of the dashboard
Select Compute Resource / Workload
To display the monitoring graph for an individual pod
Select default from the namespace menu
Select the desired pod from the the workload menu
Scroll down further to display the memory usage.
Using the CLI:
Open an SSH session on the master node in a terminal by logging into the Operations Center and selecting Servers from the menu on the left.
Click on the IP address for the Workbench master node and select SSH login as root.
In the terminal window, run sudo gravity enter.
To view total node CPU and memory utilization run: