Policy YAML Examples

This page provides YAML examples for supported workload type policies. These policies use a flat rules array where each rule specifies the field to control, the spec selector that identifies which part of the workload spec the rule applies to, and one or more enforcements.

For a description of all rule components, see Supported workload type policies.

Rule Structure

rules:
  - field: <field-name>
    specSelector: <spec-selector>
    itemSelector: <item-selector>    # optional; only for list-type fields
    selectorParams:                   # optional; required by some selectors
      <param>: <value>
    enforcements:
      - <enforcement-type>: <value>

Deployment: Container Security Baseline

Requires an image on all containers, blocks privilege escalation, and caps CPU and memory limits.

rules:
  - field: image
    specSelector: allContainers
    enforcements:
      - required: true
  - field: allowPrivilegeEscalation
    specSelector: allContainers
    enforcements:
      - set:
          value: false
  - field: resourceLimits
    specSelector: allContainers
    enforcements:
      - set:
          key: cpu
          value: "2"
      - set:
          key: memory
          value: "4Gi"

PyTorchJob: Distributed Training Guardrails

Sets resource limits across all containers, pins the master replica count to 1, restricts the worker replica range, and limits retries on the job.

rules:
  - field: resourceLimits
    specSelector: allContainers
    enforcements:
      - set:
          key: cpu
          value: "4"
      - set:
          key: memory
          value: "8Gi"
  - field: replicas
    specSelector: masterReplicaSpec
    enforcements:
      - set:
          value: 1
  - field: replicas
    specSelector: workerReplicaSpec
    enforcements:
      - range:
          min: 1
          max: 8
  - field: runPolicy-BackoffLimit
    specSelector: workloadSpec
    enforcements:
      - set:
          value: 3