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Copy file name to clipboardExpand all lines: articles/azure-functions/functions-scale.md
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## Determine the hosting plan of an existing application
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To determine the hosting plan used by your function app, see **App Service plan / pricing tier** in the **Overview** tab for the function app in the [Azure portal](https://portal.azure.com). For App Service plans, the pricing tier is also indicated.
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To determine the hosting plan used by your function app, see **App Service plan** in the **Overview** tab for the function app in the [Azure portal](https://portal.azure.com). To see the pricing tier, select the name of the **App Service Plan**, and then select **Properties** from the left pane.
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## Storage account requirements
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On any plan, a function app requires a general Azure Storage account, which supports Azure Blob, Queue, Files, and Table storage. This is because Functions relies on Azure Storage for operations such as managing triggers and logging function executions, but some storage accounts do not support queues and tables. These accounts, which include blob-only storage accounts (including premium storage) and general-purpose storage accounts with zone-redundant storage replication, are filtered-out from your existing **Storage Account** selections when you create a function app.
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On any plan, a function app requires a general Azure Storage account, which supports Azure Blob, Queue, Files, and Table storage. This is because Azure Functions relies on Azure Storage for operations such as managing triggers and logging function executions, but some storage accounts do not support queues and tables. These accounts, which include blob-only storage accounts (including premium storage) and general-purpose storage accounts with zone-redundant storage replication, are filtered-out from your existing **Storage Account** selections when you create a function app.
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The same storage account used by your function app can also be used by your triggers and bindings to store your application data. However, for storage-intensive operations, you should use a separate storage account.
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To learn more about storage account types, see [Introducing the Azure Storage services](../storage/common/storage-introduction.md#azure-storage-services).
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## How the consumption and premium plans work
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## How the Consumption and Premium plans work
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In the Consumption and Premium plans, the Azure Functions infrastructure scales CPU and memory resources by adding additional instances of the Functions host, based on the number of events that its functions are triggered on. Each instance of the Functions host in the Consumption plan is limited to 1.5 GB of memory and one CPU. An instance of the host is the entire function app, meaning all functions within a function app share resource within an instance and scale at the same time. Function apps that share the same Consumption plan are scaled independently. In the Premium plan, your plan size will determine the available memory and CPU for all apps in that plan on that instance.
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There are many aspects of a function app that will impact how well it will scale, including host configuration, runtime footprint, and resource efficiency. For more information, see the [scalability section of the performance considerations article](functions-best-practices.md#scalability-best-practices). You should also be aware of how connections behave as your function app scales. For more information, see [How to manage connections in Azure Functions](manage-connections.md).
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For additional information on scaling in Python and Node.js, see [Azure Functions Python developer guide - Scaling and concurrency](functions-reference-python.md#scaling-and-concurrency) and [Azure Functions Node.js developer guide - Scaling and concurrency](functions-reference-node.md#scaling-and-concurrency).
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For more information on scaling in Python and Node.js, see [Azure Functions Python developer guide - Scaling and concurrency](functions-reference-python.md#scaling-and-concurrency) and [Azure Functions Node.js developer guide - Scaling and concurrency](functions-reference-node.md#scaling-and-concurrency).
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