Workload policies

This section explains the procedure to manage workload policies.

Workload policies table

The Workload policies table can be found under Policies in the NVIDIA Run:ai platform.

Note

Workload policies are disabled by default. If you cannot see Workload policies in the menu, then it must be enabled by your administrator, under General settings → Workloads → Policies

The Workload policies table provides a list of all the policies defined in the platform, and allows you to manage them.

The Workload policies table consists of the following columns:

Column	Description
Policy	The policy name which is a combination of the policy scope and the policy type
Type	The policy type is per NVIDIA Run:ai workload type. This allows administrators to set different policies for each workload type.
Status	Representation of the policy lifecycle (one of the following - “Creating…”, “Updating…”, “Deleting…”, Ready or Failed)
Scope	The scope the policy affects. Click the name of the scope to view the organizational tree diagram. You can only view the parts of the organizational tree for which you have permission to view.
Created by	The user who created the policy
Creation time	The timestamp for when the policy was created
Last updated	The last time the policy was updated

Customizing the table view

• Filter - Click ADD FILTER, select the column to filter by, and enter the filter values

• Search - Click SEARCH and type the value to search by

• Sort - Click each column header to sort by

• Column selection - Click COLUMNS and select the columns to display in the table

• Refresh - Click REFRESH to update the table with the latest data

Adding a policy

To create a new policy:

1. Click +NEW POLICY

2. Select a scope

3. Select the workload type

4. Click +POLICY YAML

5. In the YAML editor type or paste a YAML policy with defaults and rules. You can utilize the following references and examples:

   • Policy YAML reference

   • Policy YAML examples

6. Click SAVE POLICY

Editing a policy

1. Select the policy you want to edit

2. Click EDIT

3. Update the policy and click APPLY

4. Click SAVE POLICY

Troubleshooting

Listed below are issues that might occur when creating or editing a policy via the YAML Editor:

Issue	Message	Mitigation
Cluster connectivity issues	There's no communication from cluster “cluster_name“. Actions may be affected, and the data may be stale.	Verify that you are on a network that has been allowed access to the cluster. Reach out to your cluster administrator for instructions on verifying the issue.
Policy can’t be applied due to a rule that is occupied by a different policy	Field “field_name” already has rules in cluster: “cluster_id”	Remove the rule from the new policy or adjust the old policy for the specific rule.
Policy is not visible in the UI	-	Check that the policy hasn’t been deleted.
Policy syntax is no valid	Add a valid policy YAML;json: unknown field "field_name"	For correct syntax check the Policy YAML reference or the Policy YAML examples.
Policy can’t be saved for some reason	The policy couldn't be saved due to a network or other unknown issue. Download your draft and try pasting and saving it again later.	Possible cluster connectivity issues. Try updating the policy once again at a different time.
Policies were submitted before version 2.18, you upgraded to version 2.18 or above and wish to submit new policies	If you have policies and want to create a new one, first contact NVIDIA Run:ai support to prevent potential conflicts	Contact NVIDIA Run:ai support. R&D can migrate your old policies to the new version.

Viewing a policy

To view a policy:

1. Select the policy for which you want to view its policies.

2. Click VIEW POLICY

3. In the Policy form per workload section, view the workload rules and defaults:

   • Parameter The workload submission parameter that Rules and Defaults are applied to

   • Type (applicable for data sources only) The data source type (Git, S3, nfs, pvc etc.)

   • Default The default value of the Parameter

   • Rule Set up constraint on workload policy field

   • Source The origin of the applied policy (cluster, department or project)

Note

Some of the rules and defaults may be derived from policies of a parent cluster and/or department. You can see the source of each rule in the policy form. For more information, check the Scope of effectiveness documentation.

Deleting a policy

1. Select the policy you want to delete

2. Click DELETE

3. On the dialog, click DELETE to confirm the deletion

Using API

Go to the Policies API reference to view the available actions.