arazzo: 1.0.1
info:
  title: Azure Monitor Autoscale Setting Provision
  summary: Create an autoscale setting with a CPU-driven scale rule, confirm it, and pull its predictive metrics.
  description: >-
    The elastic-scaling provisioning flow. The workflow creates or updates an
    autoscale setting whose single profile scales the target resource out and in
    based on a CPU metric trigger, reads the setting back to confirm it, and then
    queries the predictive autoscale metrics for it. Every step spells out its
    ARM request body inline so the flow can be read and executed without opening
    the underlying OpenAPI description.
  version: 1.0.0
sourceDescriptions:
- name: autoscaleApi
  url: ../openapi/azure-monitor-autoscale-openapi.yml
  type: openapi
workflows:
- workflowId: provision-autoscale-setting
  summary: Create an autoscale setting, confirm it, and read its predictive metrics.
  description: >-
    Creates an autoscale setting with a single profile that scales out on high
    CPU and in on low CPU, confirms the setting, and queries its predictive
    autoscale metrics.
  inputs:
    type: object
    required:
    - subscriptionId
    - resourceGroupName
    - autoscaleSettingName
    - location
    - targetResourceUri
    - metricResourceUri
    properties:
      subscriptionId:
        type: string
        description: The ID of the target subscription.
      resourceGroupName:
        type: string
        description: The name of the resource group.
      autoscaleSettingName:
        type: string
        description: The autoscale setting name.
      location:
        type: string
        description: The Azure location for the autoscale setting resource.
      targetResourceUri:
        type: string
        description: The resource identifier of the resource to autoscale.
      metricResourceUri:
        type: string
        description: The resource identifier of the resource the scale rule monitors.
      timespan:
        type: string
        description: The timespan of the predictive metrics query in ISO 8601 format.
      interval:
        type: string
        description: The interval of the predictive metrics query in ISO 8601 duration format.
  steps:
  - stepId: createAutoscaleSetting
    description: >-
      Create or update an autoscale setting with one profile that scales out by
      one instance on high CPU and in by one instance on low CPU.
    operationId: AutoscaleSettings_CreateOrUpdate
    parameters:
    - name: subscriptionId
      in: path
      value: $inputs.subscriptionId
    - name: resourceGroupName
      in: path
      value: $inputs.resourceGroupName
    - name: autoscaleSettingName
      in: path
      value: $inputs.autoscaleSettingName
    - name: api-version
      in: query
      value: '2022-10-01'
    requestBody:
      contentType: application/json
      payload:
        location: $inputs.location
        properties:
          enabled: true
          targetResourceUri: $inputs.targetResourceUri
          profiles:
          - name: defaultProfile
            capacity:
              minimum: '1'
              maximum: '10'
              default: '1'
            rules:
            - metricTrigger:
                metricName: Percentage CPU
                metricResourceUri: $inputs.metricResourceUri
                timeGrain: PT1M
                statistic: Average
                timeWindow: PT5M
                timeAggregation: Average
                operator: GreaterThan
                threshold: 75
              scaleAction:
                direction: Increase
                type: ChangeCount
                value: '1'
                cooldown: PT5M
            - metricTrigger:
                metricName: Percentage CPU
                metricResourceUri: $inputs.metricResourceUri
                timeGrain: PT1M
                statistic: Average
                timeWindow: PT5M
                timeAggregation: Average
                operator: LessThan
                threshold: 25
              scaleAction:
                direction: Decrease
                type: ChangeCount
                value: '1'
                cooldown: PT5M
    successCriteria:
    - condition: $statusCode == 200
    outputs:
      autoscaleSettingId: $response.body#/id
      autoscaleSettingName: $response.body#/name
  - stepId: confirmAutoscaleSetting
    description: >-
      Read the autoscale setting back to confirm it is enabled and capture its
      profiles.
    operationId: AutoscaleSettings_Get
    parameters:
    - name: subscriptionId
      in: path
      value: $inputs.subscriptionId
    - name: resourceGroupName
      in: path
      value: $inputs.resourceGroupName
    - name: autoscaleSettingName
      in: path
      value: $inputs.autoscaleSettingName
    - name: api-version
      in: query
      value: '2022-10-01'
    successCriteria:
    - condition: $statusCode == 200
    outputs:
      enabled: $response.body#/properties/enabled
      profiles: $response.body#/properties/profiles
  - stepId: getPredictiveMetrics
    description: >-
      Query the predictive autoscale metric data for the setting over the
      supplied timespan and interval.
    operationId: PredictiveMetric_Get
    parameters:
    - name: subscriptionId
      in: path
      value: $inputs.subscriptionId
    - name: resourceGroupName
      in: path
      value: $inputs.resourceGroupName
    - name: autoscaleSettingName
      in: path
      value: $inputs.autoscaleSettingName
    - name: api-version
      in: query
      value: '2022-10-01'
    - name: timespan
      in: query
      value: $inputs.timespan
    - name: interval
      in: query
      value: $inputs.interval
    - name: metricNamespace
      in: query
      value: microsoft.compute/virtualmachinescalesets
    - name: metricName
      in: query
      value: PercentageCPU
    - name: aggregation
      in: query
      value: Average
    successCriteria:
    - condition: $statusCode == 200
    outputs:
      predictiveData: $response.body
  outputs:
    autoscaleSettingId: $steps.createAutoscaleSetting.outputs.autoscaleSettingId
    enabled: $steps.confirmAutoscaleSetting.outputs.enabled
    predictiveData: $steps.getPredictiveMetrics.outputs.predictiveData