Enable Idle Shutdown for Workbench Instances

01 Sign in to the Google Cloud Management Console.

02 Select the GCP project that you want to examine from the console top navigation bar.

03 Navigate to Vertex AI console available at https://console.cloud.google.com/vertex-ai.

04 In the main navigation panel, under NOTEBOOKS, choose Workbench, and select the INSTANCES tab.

05 Choose View: INSTANCES to list the Vertex AI notebook instances created for the selected GCP project.

06 Click on the name (link) of the notebook instance that you want to examine.

07 Select the SOFTWARE AND SECURITY tab and check the Enable Idle Shutdown setting checkbox. If the Enable Idle Shutdown checkbox is unchecked, the Idle Shutdown feature is not enabled for the selected Vertex AI notebook instance.

08 Repeat steps no. 6 and 7 for each Vertex AI notebook instance launched for the selected GCP project.

09 Repeat steps no. 2 – 8 for each project deployed within your Google Cloud account.

01 Run projects list command (Windows/macOS/Linux) with custom query filters to list the ID of each project available in your Google Cloud account:

gcloud projects list
  --format="table(projectId)"

02 The command output should return the requested GCP project ID(s):

PROJECT_ID
cc-vertex-project-123123
cc-appdata-project-112233

03 Run workbench instances list command (Windows/macOS/Linux) with the ID of the GCP project that you want to examine as the identifier parameter, to describe the name of each Vertex AI notebook instance created for the selected project:

gcloud workbench instances list
  --project cc-vertex-project-123123
  --location=us-central1-a
  --format="(NAME)"

04 The command output should return the requested notebook instance names:

NAME: tm-vertex-ai-notebook-instance
NAME: tm-development-notebook-instance

05 Run workbench instances describe command (Windows/macOS/Linux) with the name of the Vertex AI notebook instance that you want to examine as the identifier parameter and custom output filters to describe the idle timeout value (in seconds) configured for the Idle Shutdown feature, for the selected instance:

gcloud workbench instances describe tm-vertex-ai-notebook-instance
  --location=us-central1-a
  --format="yaml(gceSetup.metadata.idle-timeout-seconds)"

06 The command output should return the idle timeout value configured for the instance or null if the feature is disabled:

null

07 Repeat steps no. 5 and 6 for each Vertex AI notebook instance provisioned for the selected GCP project.

08 Repeat steps no. 3 – 7 for each GCP project deployed in your Google Cloud account.

01 Sign in to the Google Cloud Management Console.

02 Select the GCP project that you want to access from the console top navigation bar.

03 Navigate to Vertex AI console available at https://console.cloud.google.com/vertex-ai.

04 In the main navigation panel, under NOTEBOOKS, choose Workbench, and select the INSTANCES tab.

05 Choose View: INSTANCES to list the Vertex AI notebook instances created for the selected GCP project.

06 Click on the name (link) of the notebook instance that you want to configure.

07 Select the SOFTWARE AND SECURITY tab and check the Enable Idle Shutdown setting checkbox to enable the Idle Shutdown feature for the selected Vertex AI notebook instance. Enter the preferred idle timeout value (in minutes) in the Time of inactivity before shutdown (Minutes) box, and choose SUBMIT at the bottom of the page to apply the configuration changes.

08 Repeat steps no. 6 and 7 for each Vertex AI notebook instance that you want to configure, launched for the selected GCP project.

09 Repeat steps no. 2 – 8 for each project deployed within your Google Cloud account.

01 Run workbench instances update command (Windows/macOS/Linux) with the name of the Vertex AI notebook instance that you want to update as the identifier parameter, to enable the Idle Shutdown feature for the selected notebook instance. The feature can be enabled by setting the idle timeout value (in seconds):

gcloud workbench instances update tm-vertex-ai-notebook-instance
  --location=us-central1-a
  --metadata 'idle-timeout-seconds'='10800'
  --format="yaml(gceSetup.metadata.idle-timeout-seconds)"

02 The command output should return the idle timeout value configured for the selected instance:

Waiting for operation on Instance [tm-vertex-ai-notebook-instance] to be updated with [projects/cc-vertex-project-123123/locations/us-central1-a/operations/operation-abcd1234abcd-abcd1234abcd-abcd1234-abcd1234]...done.
Updated workbench instance tm-vertex-ai-notebook-instance [https://notebooks.googleapis.com/v2/projects/cc-vertex-project-123123/locations/us-central1-a/operations/operation-abcd1234abcd-abcd1234abcd-abcd1234-abcd1234].

gceSetup:
	metadata:
	idle-timeout-seconds: '10800'

03 Repeat step no. 1 and 2 for each Vertex AI notebook instance that you want to update, created for the selected GCP project.

04 Repeat steps no. 1 – 3 for each GCP project deployed in your Google Cloud account.