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articles/api-management/api-management-howto-autoscale.md

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2020
Azure API Management service instance can scale automatically based on a set of rules. This behavior can be enabled and configured through Azure Monitor and is supported in **Standard** and **Premium** tiers of the Azure API Management service.
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The article walks through the process of configuring autoscale and suggests best practices for managing production deployments in that regard.
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The article walks through the process of configuring autoscale and suggests optimal configuration of autoscale rules.
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## Prerequisites
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+ Autoscale can be enabled only for **Standard** and **Premium** tiers of Azure API Management service.
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+ Pricing tiers also specify the maximum number of units for a service instance.
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+ Scaling process will take at least 20 minutes. If the service instance is locked by another operation, the process will take longer.
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+ In case of multiregional deployments, only units in the **Primary location** can be scaled. Units in secondary locations cannot be scaled.
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+ In case of multiregional deployments, only units in the **Primary location** can be scaled. Units in secondary locations can't be scaled.
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+ Scaling will trigger a restart of the Azure API Management units, which can cause an intermittent performance degradation.
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## Enable and configure autoscale for Azure API Management instance
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3. Specify location of your Azure API Management instance in the dropdown menus.
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4. Click on the Azure API Management instance.
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5. In the newly opened blade, click the **Enable autoscale** button.
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5. In the newly opened section, click the **Enable autoscale** button.
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![Azure Monitor autoscale enable](media/api-management-howto-autoscale/03.png)
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| Time grain statistic | Average | |
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| Operator | Greater than | |
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| Threshold | 80% | The threshold for the averaged capacity metric. |
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| Duration (in minutes) | 30 | The timespan to average the capacity metric over is very specific to usage patterns. The longer the time period is, the smoother the reaction will be - intermittent spikes will have less effect on the scale-out decision. However, it will also delay the scale-out trigger. |
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| Duration (in minutes) | 30 | The timespan to average the capacity metric over is specific to usage patterns. The longer the time period is, the smoother the reaction will be - intermittent spikes will have less effect on the scale-out decision. However, it will also delay the scale-out trigger. |
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| *Action* | | |
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| Operation | Increase count by | |
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| Instance count | 1 | Scale out the Azure API Management instance by 1 unit. |
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| Cool down (minutes) | 60 | It takes at least 20 minutes for the Azure API Management service to scale out. The cool down period of 60 minutes prevents from triggering multiple scale-outs in most cases. |
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| Cool down (minutes) | 60 | It takes at least 20 minutes for the Azure API Management service to scale out. In most cases, the cool down period of 60 minutes prevents from triggering many scale-outs. |
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8. Click **Add** to save the rule.
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![Azure Monitor scale in rule](media/api-management-howto-autoscale/06.png)
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12. Specify the **maximum** number of Azure API Management units.
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12. Set the **maximum** number of Azure API Management units.
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> [!NOTE]
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> Azure API Management tiers enforce a limit of units an instance can scale out to.

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