Azure Autoscale Setting is a feature of Microsoft Azure that automatically adjusts the number of compute resource instances based on predefined rules and schedules. It helps maintain optimal performance during demand spikes while reducing costs during low-usage periods by dynamically scaling resources up or down.
Applications Manager's Azure Autoscale Setting monitoring provides you with key metrics to track the scaling behavior of your Azure resources. Monitor scaling thresholds, observed capacity, metric values, and scale actions to ensure your autoscale configurations are working effectively.
To learn how to create a new Microsoft Azure Autoscale Setting monitor, click here.
Navigate to the Category View by clicking the Monitors tab. Hover over 'Child Monitors' under Microsoft Azure in the Cloud Apps table, and then select the Autoscale Settings monitor from the displayed tooltip. This action will display the bulk configuration view for Azure Autoscale Setting in three tabs:
The Microsoft Azure monitor provides details of the Azure Autoscale Setting under the given subscription. Following are the list of metrics monitored in Azure Autoscale Setting monitoring in their corresponding tabs:
| Parameter | Description |
|---|---|
| OBSERVED CAPACITY | |
| Observed Capacity | The maximum observed capacity of the autoscale setting between the poll intervals. |
| OBSERVED METRIC VALUE | |
| Observed Metric Value | The average observed metric value of the autoscale setting between the poll intervals. |
| METRIC THRESHOLD | |
| Metric Threshold | The average metric threshold of the autoscale setting between the poll intervals. |
| INITIATED SCALE ACTIONS | |
| Initiated Scale Actions | The total scale actions initiated by the autoscale setting between the poll intervals. |
| Parameter | Description |
|---|---|
| CONFIGURATION | |
| Resource Group Name | The name of the resource group. |
| Location | The location of the autoscale settings resource. |
| Autoscale Status | Indicates whether automatic scaling is enabled for the resource. Possible Values: Enabled/Disabled |
| Predictive Autoscale Mode | The predictive autoscale mode. Possible Values: Enabled, Disabled, ForecastOnly. |
| Default Capacity | The default number of instances that will be set if metrics are not available for evaluation. |
| Max Capacity | The maximum number of instances for the resource. |
| Min Capacity | The minimum number of instances for the resource. |
| Target Resource URI | The resource identifier of the resource that the autoscale setting should be added to. |
It allows us to track crucial metrics such as response times, resource utilization, error rates, and transaction performance. The real-time monitoring alerts promptly notify us of any issues or anomalies, enabling us to take immediate action.
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