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Autoscale Setting Provision

A 3-step recipe with Azure Monitor. We can help you get access.

Recipe · 3 steps

Autoscale Setting Provision

with Azure Monitor · Capacity & Performance Management

Create an autoscale setting, confirm it, and read its predictive metrics.

  1. 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.
  2. Read the autoscale setting back to confirm it is enabled and capture its profiles.
  3. Query the predictive autoscale metric data for the setting over the supplied timespan and interval.
What you'll need to have ready
  • subscriptionId: The ID of the target subscription.
  • resourceGroupName: The name of the resource group.
  • autoscaleSettingName: The autoscale setting name.
  • location: The Azure location for the autoscale setting resource.
  • targetResourceUri: The resource identifier of the resource to autoscale.
  • metricResourceUri: The resource identifier of the resource the scale rule monitors.
  • timespan: The timespan of the predictive metrics query in ISO 8601 format.
  • interval: The interval of the predictive metrics query in ISO 8601 duration format.
For your developer

Arazzo workflow microsoft-azure-monitor:provision-autoscale-setting, 3 operations: AutoscaleSettings_CreateOrUpdate → AutoscaleSettings_Get → PredictiveMetric_Get. Specs on APIs.io.

More recipes with Azure Monitor

Action Group LifecycleAction Group Receiver RecoveryAction Group With Metric AlertActivity Log To MetricsAlert Rule AuditAutoscale Inventory And ReconfigureBatch Metrics QueryDiagnostic Setting ProvisionResource Metrics Explorer