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articles/azure-functions/analyze-telemetry-data.md

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## Query Flex Consumption code deployment logs
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The following query can be used to search for all code deployment logs for the current function app within the specified time period:
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```kusto

articles/azure-functions/configure-networking-how-to.md

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For a list of all restrictions on storage accounts, see [Storage account requirements](storage-considerations.md#storage-account-requirements).
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## Secure storage during function app creation
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You can create a function app, along with a new storage account that is secured behind a virtual network. The following sections show you how to create these resources by using either the Azure portal or by using deployment templates.

articles/azure-functions/create-first-function-azure-developer-cli.md

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The project source uses the Azure Developer CLI (azd) to simplify deploying your code to Azure. This deployment follows current best practices for secure and scalable Azure Functions deployments.
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By default, the Flex Consumption plan follows a _pay-for-what-you-use_ billing model, which means to complete this quickstart incurs a small cost of a few USD cents or less in your Azure account.
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## Prerequisites

articles/azure-functions/event-driven-scaling.md

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In the Consumption, Flex Consumption, and Premium plans, Azure Functions scales resources by adding more instances based on the number of events that trigger a function.
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The way in which your function app scales depends on the hosting plan:
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+ **Consumption plan:** Each instance of the Functions host in the Consumption plan is limited, typically to 1.5 GB of memory and one CPU. An instance of the host supports the entire function app. As such, all functions within a function app share resource in an instance are scaled at the same time. When function apps share the same Consumption plan, they're still scaled independently.

articles/azure-functions/flex-consumption-how-to.md

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Function app resources are langauge-specific. Make sure to choose your preferred code development language at the beginning of the article.
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## Prerequisites
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+ An Azure account with an active subscription. If you don't already have one, you can [create an account for free](https://azure.microsoft.com/free/?WT.mc_id=A261C142F).

articles/azure-functions/functions-best-practices.md

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+ [Premium plan](functions-premium-plan.md)
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+ [Dedicated (App Service) plan](dedicated-plan.md)
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In the context of the App Service platform, the _Premium_ plan used to dynamically host your functions is the Elastic Premium plan (EP). There are other Dedicated (App Service) plans called Premium. To learn more, see the [Premium plan](functions-premium-plan.md) article.
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The hosting plan you choose determines the following behaviors:

articles/azure-functions/functions-concurrency.md

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This article describes the concurrency behaviors of event-driven triggers in Azure Functions. It also compares the static and dynamic concurrency models.
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In Functions, you can have multiple executing processes of a given function running concurrently on a single compute instance. For example, consider a case where you have three different functions in your function app that is scaled-out to multiple instances to handle an increased load. In this scenario, each function is executing in response to individual invocations across all three instances, and a given instance can handle multiple invocations of the same type. Keep in mind that the function executions on a single instance share the same memory, CPU, and connection resources. Because multiple function executions can run on each instance concurrently, each function needs to have a way to manage the number of concurrent executions.
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When your app is hosted in a dynamic scale plan (Consumption, Flex Consumption, or Premium), the host scales the number of function app instances up or down based on the number of incoming events. To learn more, see [Event Driven Scaling](./Event-Driven-Scaling.md). When you host your functions in a Dedicated (App Service) plan, you must manually configure your instances or [set up an autoscale scheme](dedicated-plan.md#scaling).

articles/azure-functions/functions-consumption-costs.md

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| [**Premium**](functions-premium-plan.md) | Provides you with the same features and scaling mechanism as the Consumption plan, but with enhanced performance and virtual network integration. Cost is based on your chosen pricing tier. To learn more, see [Azure Functions Premium plan](functions-premium-plan.md). |
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| [**Dedicated (App Service)**](dedicated-plan.md) <br/>(basic tier or higher) | When you need to run in dedicated VMs or in isolation, use custom images, or want to use your excess App Service plan capacity. Uses [regular App Service plan billing](https://azure.microsoft.com/pricing/details/app-service/). Cost is based on your chosen pricing tier.|
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You should always choose the plan that best supports the feature, performance, and cost requirements for your function executions. To learn more, see [Azure Functions scale and hosting](functions-scale.md).
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This article focuses on Consumption and Flex Consumption plans because in these plans billing depends on active periods of executions inside each instance.

articles/azure-functions/functions-infrastructure-as-code.md

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| [Azure Container Apps](functions-infrastructure-as-code.md?pivots=premium-plan) | Container-only | [Container Apps hosting of Azure Functions](functions-container-apps-hosting.md)|
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| [Azure Arc](functions-infrastructure-as-code.md?pivots=premium-plan) | Code \| Container | [App Service, Functions, and Logic Apps on Azure Arc (Preview)](../app-service/overview-arc-integration.md)|
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When using this article, keep these considerations in mind:
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+ There's no canonical way to structure an ARM template.

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