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.openpublishing.redirection.json

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"source_path_from_root": "/articles/dns/dns-getstarted-create-recordset.md",
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"redirect_url": "/azure/dns/dns-getstarted-powershell",
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"redirect_document_id": false
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},
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{
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"source_path_from_root": "/articles/time-series-insights/migration-to-adx.md",
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"redirect_url": "/azure/time-series-insights/migration-to-fabric.md",
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"redirect_document_id": false
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},
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{
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"source_path_from_root": "/articles/dns/dns-operations-dnszones-cli-nodejs.md",

articles/ai-studio/how-to/create-azure-ai-resource.md

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### Update Azure Application Insights and Azure Container Registry
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To use custom environments for Prompt Flow, you're required to configure an Azure Container Registry for your hub. To use Azure Application Insights for Prompt Flow deployments, a configured Azure Application Insights resource is required for your hub.
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To use custom environments for Prompt Flow, you're required to configure an Azure Container Registry for your hub. To use Azure Application Insights for Prompt Flow deployments, a configured Azure Application Insights resource is required for your hub. Updating the workspace-attached Azure Container Registry or ApplicationInsights resources may break lineage of previous jobs, deployed inference endpoints, or your ability to rerun earlier jobs in the workspace.
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You can configure your hub for these resources during creation or update after creation. To update Azure Application Insights from the Azure portal, navigate to the **Properties** for your hub in the Azure portal, then select **Change Application Insights**. You can also use the Azure SDK/CLI options or infrastructure-as-code templates to update both Azure Application Insights and Azure Container Registry for the hub.
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You can use the Azure Portal, Azure SDK/CLI options, or the infrastructure-as-code templates to update both Azure Application Insights and Azure Container Registry for the hub.
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# [Azure portal](#tab/portal)
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You can configure your hub for these resources during creation or update after creation.
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To update Azure Application Insights from the Azure portal, navigate to the **Properties** for your hub in the Azure portal, then select **Change Application Insights**.
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:::image type="content" source="~/reusable-content/ce-skilling/azure/media/how-to/resource-manage-update-associated-resources.png" alt-text="Screenshot of the properties page of the hub resource in the Azure portal." lightbox="~/reusable-content/ce-skilling/azure/media/how-to/resource-manage-update-associated-resources.png":::
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# [Python SDK](#tab/python)
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```python
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from azure.ai.ml.entities import Hub
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my_app_insights = "{APPLICATION_INSIGHTS_ARM_ID}"
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my_container_registry = "{CONTAINER_REGISTRY_ARM_ID}"
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# construct a basic hub
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my_hub = Hub(name="myexamplehub",
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location="East US",
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application_insights=my_app_insights,
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container_registry=my_container_registry)
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# update_dependent_resources is used to give consent to update the workspace dependent resources.
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created_hub = ml_client.workspaces.begin_update(workspace=my_hub, update_dependent_resources=True).result()
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```
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# [Azure CLI](#tab/azurecli)
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See flag documentation for [```az ml workspace update```](/cli/azure/ml/workspace#az-ml-workspace-update)
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```azurecli
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az ml workspace update -n "myexamplehub" -g "{MY_RESOURCE_GROUP}" -a "APPLICATION_INSIGHTS_ARM_ID" -u
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```
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---
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## Next steps
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- [Create a project](create-projects.md)

articles/ai-studio/how-to/create-projects.md

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az ml workspace show --name {my_project_name} --resource-group {my_resource_group}
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```
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---
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## Project resource access
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Common configurations on the hub are shared with your project, including connections, compute instances, and network access, so you can start developing right away.
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In addition, a number of resources are only accessible by users in your project workspace:
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1. Components including datasets, flows, indexes, deployed model API endpoints (open and serverless).
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1. Connections created by you under 'project settings'.
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1. Azure Storage blob containers, and a fileshare for data upload within your project. Access storage using the following connections:
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| Data connection | Storage location | Purpose |
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| --- | --- | --- |
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| workspaceblobstore | {project-GUID}-blobstore | Default container for data upload |
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| workspaceartifactstore | {project-GUID}-blobstore | Stores components and metadata for your project such as model weights |
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| workspacefilestore | {project-GUID}-code | Hosts files created on your compute and using prompt flow |
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> [!NOTE]
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> Storage connections are not created directly with the project when your storage account has public network access set to disabled. These are created instead when a first user accesses AI studio over a private network connection.
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## Next steps
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- [Deploy an enterprise chat web app](../tutorials/deploy-chat-web-app.md)

articles/aks/advanced-container-networking-services-overview.md

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## Pricing
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> [!IMPORTANT]
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> Advanced Container Networking Services will be a paid offering starting June 4th, 2024.
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> Advanced Container Networking Services will be a paid offering. For more information about pricing, see [Advanced Container Networking Services - Pricing](https://azure.microsoft.com/pricing/details/azure-container-networking-services/)
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## Next steps
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articles/aks/configure-azure-cni-static-block-allocation.md

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Ideal values with no IP wastage would require the max pods value to conform to the above expression.
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**Example 1:** max_pods = 30, CIDR Blocks allocated per node = 2, Total IPs available for pods = (16 * 2) - 1 = 32 - 1 = 31, IP wastage per node = 31 - 30 = 1 **[Low wastage - Acceptable Case]**
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**Example 2:** max_pods = 31, CIDR Blocks allocated per node = 2, Total IPs available for pods = (16 * 2) - 1 = 32 - 1 = 31, IP wastage per node = 31 - 31 = 0 **[Ideal Case]**
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**Example 3:** max_pods = 32, CIDR Blocks allocated per node = 3, Total IPs available for pods = (16 * 3) - 1 = 48 - 1 = 47, IP wastage per node = 47 - 32 = 15 **[High Wastage - Not Recommended Case]**
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- **Example 1:** max_pods = 30, CIDR Blocks allocated per node = 2, Total IPs available for pods = (16 * 2) - 1 = 32 - 1 = 31, IP wastage per node = 31 - 30 = 1 **[Low wastage - Acceptable Case]**
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- **Example 2:** max_pods = 31, CIDR Blocks allocated per node = 2, Total IPs available for pods = (16 * 2) - 1 = 32 - 1 = 31, IP wastage per node = 31 - 31 = 0 **[Ideal Case]**
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- **Example 3:** max_pods = 32, CIDR Blocks allocated per node = 3, Total IPs available for pods = (16 * 3) - 1 = 48 - 1 = 47, IP wastage per node = 47 - 32 = 15 **[High Wastage - Not Recommended Case]**
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The planning of IPs for Kubernetes services remain unchanged.
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## Deployment parameters
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The [deployment parameters][azure-cni-deployment-parameters]for configuring basic Azure CNI networking in AKS are all valid, with two exceptions:
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The [deployment parameters][azure-cni-deployment-parameters] for configuring basic Azure CNI networking in AKS are all valid, with two exceptions:
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- The **vnet subnet id** parameter now refers to the subnet related to the cluster's nodes.
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- The parameter **pod subnet id** is used to specify the subnet whose IP addresses will be statically or dynamically allocated to pods in the node pool.
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- **Can some node pools in a cluster use Dynamic IP allocation while others use the new Static Block allocation?**
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Yes, different node pools can use different allocation modes. However, once a subnet is used in one allocation mode it can only be used in the same allocation mode across all the node pools it is associated.
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Yes, different node pools can use different allocation modes. However, once a subnet is used in one allocation mode it can only be used in the same allocation mode across all the node pools it is associated.
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## Next steps
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[azure-cni-prereq]: ./configure-azure-cni.md#prerequisites
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[azure-cni-deployment-parameters]: ./azure-cni-overview.md#deployment-parameters
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[az-aks-enable-addons]: /cli/azure/aks#az_aks_enable_addons
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[az-extension-add]: /cli/azure/extension#az-extension-add
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[az-extension-update]: /cli/azure/extension#az-extension-update
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[az-feature-register]: /cli/azure/feature#az-feature-register
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[az-feature-show]: /cli/azure/feature#az-feature-show
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[az-provider-register]: /cli/azure/provider#az-provider-register

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

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Use the [`az functionapp scale config set`](/cli/azure/functionapp/scale/config#az-functionapp-scale-config-set) command to set specific HTTP concurrency limits for your app, regardless of instance size.
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az functionapp scale config set -resource-group <RESOURCE_GROUP> -name <APP_NAME> --trigger-type http --trigger-settings perInstanceConcurrency=10
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az functionapp scale config set --resource-group <RESOURCE_GROUP> --name <APP_NAME> --trigger-type http --trigger-settings perInstanceConcurrency=10
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This example sets the HTTP trigger concurrency level to `10`. After you specifically set an HTTP concurrency value, that value is maintained despite any changes in your app's instance size setting.

articles/azure-netapp-files/azure-netapp-files-create-volumes-smb.md

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The **Available quota** field shows the amount of unused space in the chosen capacity pool that you can use towards creating a new volume. The size of the new volume must not exceed the available quota.
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* **Large Volume**
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If the quota of your volume is less than 100 TiB, select **No**. If the quota of your volume is greater than 100 TiB, select **Yes**.
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[!INCLUDE [Large volumes warning](includes/large-volumes-notice.md)]
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* **Throughput (MiB/S)**

articles/azure-netapp-files/azure-netapp-files-create-volumes.md

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The **Available quota** field shows the amount of unused space in the chosen capacity pool that you can use towards creating a new volume. The size of the new volume must not exceed the available quota.
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* **Large Volume**
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For volumes between 50 TiB and 500 TiB, select **Yes**. If the volume does not require more than 100 TiB, select **No**.
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[!INCLUDE [Large volumes warning](includes/large-volumes-notice.md)]
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* **Throughput (MiB/S)**

articles/azure-netapp-files/azure-netapp-files-introduction.md

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| Small-to-large volumes | Easily resize file volumes from 100 GiB up to 100 TiB without downtime. | Scale storage as business needs grow without over-provisioning, avoiding upfront cost.
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| 1-TiB minimum capacity pool size | 1-TiB capacity pool is a reduced-size storage pool compared to the initial 4-TiB minimum. | Save money by starting with a smaller storage footprint and lower entry point, without sacrificing performance or availability. Scale storage based on growth without high upfront costs.
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| 1,000-TiB maximum capacity pool | 1000-TiB capacity pool is an increased storage pool compared to the initial 500-TiB maximum. | Reduce waste by creating larger, pooled capacity and performance budget, and share and distribute across volumes.
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| 100-500 TiB large volumes | Store large volumes of data up to 500 TiB in a single volume. | Manage large datasets and high-performance workloads with ease.
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| 50-500 TiB large volumes | Store large volumes of data up to 500 TiB in a single volume. | Manage large datasets and high-performance workloads with ease.
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| User and group quotas | Set quotas on storage usage for individual users and groups. | Control storage usage and optimize resource allocation.
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| Virtual machine (VM) networked storage performance | Higher VM network throughput compared to disk IO limits enable more demanding workloads on smaller Azure VMs. | Improve application performance at a smaller VM footprint, improving overall efficiency and lowering application license cost.
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| Deep workload readiness | Seamless deployment and migration of any-size workload with well-documented deployment guides. | Easily migrate any workload of any size to the platform. Enjoy a seamless, cost-effective deployment and migration experience.

articles/azure-netapp-files/azure-netapp-files-resource-limits.md

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| Maximum size of a single capacity pool | 1000 TiB | Yes |
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| Minimum size of a single regular volume | 100 GiB | No |
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| Maximum size of a single regular volume | 100 TiB | No |
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| Minimum size of a single [large volume](large-volumes-requirements-considerations.md) | 102,401 GiB | No |
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| Minimum size of a single [large volume](large-volumes-requirements-considerations.md) | 50 TiB | No |
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| Large volume size increase | 30% of lowest provisioned size | Yes |
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| Maximum size of a single large volume | 500 TiB | No |
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| Maximum size of a single [large volume](large-volumes-requirements-considerations.md) | 500 TiB | No |
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| Maximum size of a single file | 16 TiB | No |
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| Maximum size of directory metadata in a single directory | 320 MB | No |
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| Maximum number of files in a single directory | *Approximately* 4 million. <br> See [Determine if a directory is approaching the limit size](#directory-limit). | No |

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