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articles/aks/operator-best-practices-run-at-scale.md

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> [!NOTE]
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> You can't use NPM with clusters greater than 500 Nodes
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## Node pool scaling considerations and best practices
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* For system node pools, use the *Standard_D16ds_v5* SKU or equivalent core/memory VM SKUs to provide sufficient compute resources for *kube-system* pods.
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* For system node pools, use the *Standard_D16ds_v5* SKU or equivalent core/memory VM SKUs with ephemeral OS disks to provide sufficient compute resources for *kube-system* pods.
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* Create at-least five user node pools to scale up to 5,000 nodes since there's a 1000 nodes per node pool limit.
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* Use cluster autoscaler wherever possible when running at-scale AKS clusters to ensure dynamic scaling of node pools based on the demand for compute resources.
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* When scaling beyond 1000 nodes without cluster autoscaler, it's recommended to scale in batches of a maximum 500 to 700 nodes at a time. These scaling operations should also have 2 mins to 5-mins sleep time between consecutive scale-ups to prevent Azure API throttling.
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> [!NOTE]
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> You can't use [Stop and Start feature][Stop and Start feature] on clusters enabled with the greater than 1000 node limit
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## Cluster upgrade best practices
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* AKS clusters have a hard limit of 5000 nodes. This limit prevents clusters from upgrading that are running at this limit since there's no more capacity do a rolling update with the max surge property. We recommend scaling the cluster down below 3000 nodes before doing cluster upgrades to provide extra capacity for node churn and minimize control plane load.
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<!-- LINKS - Internal -->
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[quotas-skus-regions]: quotas-skus-regions.md
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[cluster upgrades]: upgrade-cluster.md
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[Stop and Start feature]: start-stop-cluster.md

articles/azure-functions/durable/durable-functions-overview.md

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### <a name="chaining"></a>Pattern #1: Function chaining
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In the function chaining pattern, a sequence of functions executes in a specific order. In this pattern, the output of one function is applied to the input of another function.
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In the function chaining pattern, a sequence of functions executes in a specific order. In this pattern, the output of one function is applied to the input of another function. The use of queues between each function ensures that the system stays durable and scalable, even though there is a flow of control from one function to the next.
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![A diagram of the function chaining pattern](./media/durable-functions-concepts/function-chaining.png)
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articles/azure-functions/functions-get-started.md

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## Introduction
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[Azure Functions](./functions-overview.md) allows you to implement your system's logic into readily-available blocks of code. These code blocks are called "functions".
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[Azure Functions](./functions-overview.md) allows you to implement your system's logic as event-driven, readily-available blocks of code. These code blocks are called "functions".
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Use the following resources to get started.
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articles/azure-functions/functions-overview.md

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Azure Functions is a serverless solution that allows you to write less code, maintain less infrastructure, and save on costs. Instead of worrying about deploying and maintaining servers, the cloud infrastructure provides all the up-to-date resources needed to keep your applications running.
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You focus on the pieces of code that matter most to you, and Azure Functions handles the rest.<br /><br />
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You focus on the code that matters most to you, in the most productive language for you, and Azure Functions handles the rest.<br /><br />
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> [!VIDEO https://www.youtube.com/embed/8-jz5f_JyEQ]
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| --- | --- |
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| **Build a web API** | Implement an endpoint for your web applications using the [HTTP trigger](./functions-bindings-http-webhook.md) |
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| **Process file uploads** | Run code when a file is uploaded or changed in [blob storage](./functions-bindings-storage-blob.md) |
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| **Build a serverless workflow** | Chain a series of functions together using [durable functions](./durable/durable-functions-overview.md) |
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| **Build a serverless workflow** | Create an event-driven workflow from a series of functions using [durable functions](./durable/durable-functions-overview.md) |
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| **Respond to database changes** | Run custom logic when a document is created or updated in [Azure Cosmos DB](./functions-bindings-cosmosdb-v2.md) |
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| **Run scheduled tasks** | Execute code on [pre-defined timed intervals](./functions-bindings-timer.md) |
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| **Create reliable message queue systems** | Process message queues using [Queue Storage](./functions-bindings-storage-queue.md), [Service Bus](./functions-bindings-service-bus.md), or [Event Hubs](./functions-bindings-event-hubs.md) |
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| **Analyze IoT data streams** | Collect and process [data from IoT devices](./functions-bindings-event-iot.md) |
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| **Process data in real time** | Use [Functions and SignalR](./functions-bindings-signalr-service.md) to respond to data in the moment |
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These scenarios allow you to build event-driven systems using modern architectural patterns.
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As you build your functions, you have the following options and resources available:
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- **Use your preferred language**: Write functions in [C#, Java, JavaScript, PowerShell, or Python](./supported-languages.md), or use a [custom handler](./functions-custom-handlers.md) to use virtually any other language.

articles/azure-functions/index.yml

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### YamlMime:Landing
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title: Azure Functions documentation
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summary: Azure Functions is a cloud service available on-demand that provides all the continually updated infrastructure and resources needed to run your applications. You focus on the pieces of code that matter most to you, and Functions handles the rest. Functions provides serverless compute for Azure. You can use Functions to build web APIs, respond to database changes, process IoT streams, manage message queues, and more.
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summary: Azure Functions is a cloud service available on-demand that provides all the continually updated infrastructure and resources needed to run your applications. You focus on the code that matters most to you, in the most productive language for you, and Functions handles the rest. Functions provides serverless compute for Azure. You can use Functions to build web APIs, respond to database changes, process IoT streams, manage message queues, and more.
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metadata:
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title: Azure Functions documentation
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description: Azure Functions is a cloud service available on-demand that provides all the continually updated infrastructure and resources needed to run your applications. You focus on the pieces of code that matter most to you, and Azure Functions handles the rest. Functions provides serverless compute for Azure. You can use Azure Functions to build web APIs, respond to database changes, process IoT streams, manage message queues, and more.
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description: Azure Functions is a cloud service available on-demand that provides all the continually updated infrastructure and resources needed to run your applications. You focus on the code that matters most to you, in the most productive language for you, and Functions handles the rest. Functions provides serverless compute for Azure. You can use Azure Functions to build web APIs, respond to database changes, process IoT streams, manage message queues, and more.
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ms.service: azure-functions
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ms.topic: landing-page # Required
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author: ggailey777

articles/azure-vmware/attach-azure-netapp-files-to-azure-vmware-solution-hosts.md

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Azure VMware Solution currently supports the following regions:
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**America** : East US, East US 2, West US, Central US, South Central US, North Central US, Canada East, Canada Central .
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**Europe** : West Europe, North Europe, UK West, UK South, France Central, Switzerland West, Germany West Central.
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**Asia** : East Asia, Southeast Asia, Japan East, Japan West.
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**Asia** : East Asia, Japan East, Japan West, Southeast Asia.
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**Australia** : Australia East, Australia Southeast.
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**Brazil** : Brazil South.
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**Europe** : France Central, Germany West Central, North Europe, Switzerland West, UK South, UK West, West Europe
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**North America** : Canada Central, Canada East, Central US, East US, East US 2, North Central US, South Central US, West US.
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The list of supported regions will expand as the preview progresses.
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## Performance best practices

articles/bastion/bastion-connect-vm-rdp-linux.md

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ms.date: 10/18/2022
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* Reader role on the NIC with private IP of the virtual machine
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* Reader role on the virtual network of the target virtual machine (if the Bastion deployment is in a peered virtual network).
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Read the [Bastion FAQ](bastion-faq.md) for more information.

articles/cognitive-services/Computer-vision/includes/image-analysis-curl-quickstart.md

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#### [Version 4.0](#tab/4-0)
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```bash
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curl.exe -H "Ocp-Apim-Subscription-Key: 9628575870314fdc909295d965e4ec40" -H "Content-Type: application/json" "https://westcentralus.api.cognitive.microsoft.com/computervision/imageanalysis:analyze?features=Description,Tags,Read&model-version=latest&language=en&api-version=2022-10-12-preview" -d "{'url':'https://upload.wikimedia.org/wikipedia/commons/thumb/3/3c/Salto_del_Angel-Canaima-Venezuela08.JPG/800px-Salto_del_Angel-Canaima-Venezuela08.JPG'}"
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curl.exe -H "Ocp-Apim-Subscription-Key: <subscriptionKey>" -H "Content-Type: application/json" "https://westcentralus.api.cognitive.microsoft.com/computervision/imageanalysis:analyze?features=Description,Tags,Read&model-version=latest&language=en&api-version=2022-10-12-preview" -d "{'url':'https://upload.wikimedia.org/wikipedia/commons/thumb/3/3c/Salto_del_Angel-Canaima-Venezuela08.JPG/800px-Salto_del_Angel-Canaima-Venezuela08.JPG'}"
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articles/cognitive-services/Speech-Service/speech-container-howto.md

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You must request access to use containers disconnected from the internet. For more information, see [Request access to use containers in disconnected environments](../containers/disconnected-containers.md#request-access-to-use-containers-in-disconnected-environments).
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Starting in container version 2.0.0, select customers can run neural-text-to-speech containers in an environment without internet accessibility. For more information, see [Run Cognitive Services containers in disconnected environments](../containers/disconnected-containers.md).
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> [!NOTE]
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> For general container requirements, see [Container requirements and recommendations](#container-requirements-and-recommendations).
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# [Speech-to-text](#tab/stt)
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articles/cognitive-services/language-service/question-answering/tutorials/power-virtual-agents.md

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> [!NOTE]
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> The QnA Maker service is being retired on the 31st of March, 2025. A newer version of the question and answering capability is now available as part of [Azure Cognitive Service for Language](/azure/cognitive-services/language-service/). For question answering capabilities within the Language Service, see [question answering](../overview.md). Starting 1st October, 2022 you won’t be able to create new QnA Maker resources. For information on migrating existing QnA Maker knowledge bases to question answering, consult the [migration guide](../how-to/migrate-qnamaker.md).
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## Create and publish a project

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