azure.machine-learning-compute-cluster

Azure Machine Learning AmlCompute cluster resource.

example:

Find allocated AmlCompute clusters.

policies:
  - name: machine-learning-compute-clusters-allocated
    resource: azure.machine-learning-compute-cluster
    filters:
      - type: value
        key: properties.properties.currentNodeCount
        op: gt
        value: 0

Filters

• advisor-recommendation

• cost

• diagnostic-settings

• event

• inactive

• list-item

• marked-for-op

• metric

• offhour

• onhour

• parent

• policy-compliant

• reduce

• resource-lock

• value

advisor-recommendation

Filter resources by Azure Advisor Recommendations

Select all categories with ‘all’

example:

policies:
  - name: disks-with-cost-recommendations
    resource: azure.disk
    filters:
      - type: advisor-recommendation
        category: Cost
        key: '[].properties.recommendationTypeId'
        op: contains
        value: '48eda464-1485-4dcf-a674-d0905df5054a'

properties:
  category:
    type: string
  default:
    type: object
  key:
    type: string
  op:
    enum:
    - eq
    - equal
    - ne
    - not-equal
    - gt
    - greater-than
    - ge
    - gte
    - le
    - lte
    - lt
    - less-than
    - glob
    - regex
    - regex-case
    - in
    - ni
    - not-in
    - contains
    - difference
    - intersect
    - mod
  tag_key_transforms:
    items:
      type: string
    type: array
  type:
    enum:
    - advisor-recommendation
  value:
    oneOf:
    - type: array
    - type: string
    - type: boolean
    - type: number
    - type: 'null'
  value_from:
    additionalProperties: 'False'
    properties:
      expr:
        oneOf:
        - type: integer
        - type: string
      format:
        enum:
        - csv
        - json
        - txt
        - csv2dict
      headers:
        patternProperties:
          ? ''
          : type: string
        type: object
      query:
        type: string
      url:
        type: string
    required:
    - url
    type: object
  value_path:
    type: string
  value_regex:
    type: string
  value_type:
    enum:
    - age
    - integer
    - expiration
    - normalize
    - size
    - cidr
    - cidr_size
    - swap
    - resource_count
    - expr
    - unique_size
    - date
    - version
    - float
required:
- category
- type

inactive

Find clusters with no current or recent job activity.

example:

policies:
  - name: machine-learning-compute-clusters-inactive
    resource: azure.machine-learning-compute-cluster
    filters:
      - type: value
        key: properties.properties.currentNodeCount
        op: gt
        value: 0
      - type: inactive
        since: 1d

properties:
  since:
    pattern: ^[1-9][0-9]*[mhdw]$
    type: string
  type:
    enum:
    - inactive
required:
- since
- type

Actions

• auto-tag-date

• auto-tag-user

• delete

• lock

• logic-app

• mark-for-op

• notify

• set-min-nodes

• tag

• tag-trim

• untag

• webhook

set-min-nodes

Set a cluster’s minimum node count.

This preserves the cluster and its maximum and idle scale-down settings.

example:

Set the minimum node count to zero.

policies:
  - name: machine-learning-compute-clusters-set-min-nodes
    resource: azure.machine-learning-compute-cluster
    actions:
      - type: set-min-nodes
        value: 0

properties:
  type:
    enum:
    - set-min-nodes
  value:
    minimum: 0
    type: integer
required:
- value
- type