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@@ -41,15 +40,15 @@ Certain limitations and consequences of scaling decisions need to be considered
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+ The [pricing tier](api-management-features.md) of your API Management instance determines the [maximum number of units](upgrade-and-scale.md#upgrade-and-scale) you may scale to. For example, the **Standard tier** can be scaled to 4 units. You can add any number of units to the **Premium** tier.
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+ If the service is locked by another operation, the scaling request will fail and retry automatically.
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+ If your service instance is deployed in multiple regions (locations), only units in the **Primary location** can be autoscaled with Azure Monitor autoscale. Units in other locations can only be scaled manually.
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+ If your service instance is configured with [availability zones](zone-redundancy.md) in the **Primary location**, be aware of the number of zones when configuring autoscaling. The number of API Management units in autoscale rules and limits must be a multiple of the number of zones.
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+ If your service instance is deployed in multiple regions (locations), only units in the **Primary location** can be autoscaled with Azure Monitor autoscale. Units in other locations can be scaled manually or using custom scaling tools.
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+ If your service instance is configured with [availability zones](zone-redundancy.md) in the **Primary location**, we recommend leaving the default **Automatic** setting for availability zones. If you select specific zones, the number of API Management units in autoscale rules and limits must be a multiple of the number of zones configured.
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## Enable and configure autoscale for an API Management instance
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Follow these steps to configure autoscale for an Azure API Management service:
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1. Sign in to the [Azure portal](https://portal.azure.com), and navigate to your API Management instance.
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1. In the left menu, select **Scale out (auto-scale)**, and then select **Custom autoscale**.
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1. In the left menu, select **Deployment + infrastructure** > **Scale out (auto-scale)**, and then select **Custom autoscale**.
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:::image type="content" source="media/api-management-howto-autoscale/01.png" alt-text="Screenshot of scale-out options in the portal.":::
Copy file name to clipboardExpand all lines: articles/api-management/upgrade-and-scale.md
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@@ -6,7 +6,7 @@ author: dlepow
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ms.service: azure-api-management
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ms.topic: how-to
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ms.date: 07/02/2024
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ms.date: 06/03/2025
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ms.author: danlep
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ms.custom:
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- engagement-fy23
@@ -20,7 +20,7 @@ ms.custom:
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Customers can scale an Azure API Management instance in a dedicated service tier by adding and removing units. A **unit** is composed of dedicated Azure resources and has a certain load-bearing capacity expressed as a number of API calls per second. This number doesn't represent a call limit, but rather an estimated maximum throughput value to allow for rough capacity planning. Actual throughput and latency vary broadly depending on factors such as number and rate of concurrent connections, the kind and number of configured policies, request and response sizes, and backend latency.
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> [!NOTE]
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> * In the **Basic**, **Standard**, and **Premium** tiers of the API Management service, you can configure an instance to [scale automatically](api-management-howto-autoscale.md) based on a set of rules.
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> * In the **Basic**, **Standard**, and **Premium** tiers of the API Management service, and in [workspace gateways](workspaces-overview.md#workspace-gateway), you can configure an instance to [scale automatically](api-management-howto-autoscale.md) based on a set of rules.
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> * API Management instances in the **Consumption** tier scale automatically based on the traffic. Currently, you cannot upgrade from or downgrade to the Consumption tier.
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The throughput and price of each unit depend on the [service tier](api-management-features.md) in which the unit exists. If you need to increase capacity for a service within a tier, you should add a unit. If the tier that is currently selected in your API Management instance doesn't allow adding more units, you need to upgrade to a higher-level tier.
Copy file name to clipboardExpand all lines: articles/api-management/workspaces-overview.md
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ms.service: azure-api-management
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ms.topic: concept-article
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ms.date: 05/14/2025
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ms.date: 06/03/2025
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ms.author: danlep
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#customer intent: As administrator of an API Management instance, I want to learn about using workspaces to manage APIs in a decentralized way, so that I can enable my development teams to manage and productize their own APIs.
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ms.custom:
@@ -112,7 +112,7 @@ For detailed requirements, see [Network resource requirements for workspace gate
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### Scale capacity
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Manage gateway capacity by manually adding or removing scale units, similar to the [units](upgrade-and-scale.md) that can be added to the API Management instance in certain service tiers. The costs of a workspace gateway are based on the number of units you select.
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Manage gateway capacity by adding or removing scale units, similar to the [units](upgrade-and-scale.md) that can be added to the API Management instance in certain service tiers. The costs of a workspace gateway are based on the number of units you select.
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### Regional availability
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@@ -131,7 +131,6 @@ The following constraints currently apply to workspace gateways:
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* Workspace gateways don't support creating APIs directly from Azure resources such as Azure OpenAI Service, App Service, Function Apps, and so on
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* Request metrics can't be split by workspace in Azure Monitor; all workspace metrics are aggregated at the service level
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* Workspace gateways don't support CA certificates
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* Workspace gateways don't support autoscaling
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* Workspace gateways don't support managed identities, including related features like storing secrets in Azure Key Vault and using the `authentication-managed-identity` policy
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