Merge pull request #268744 from MicrosoftDocs/main

Publish to live, Tuesday 4 AM PST, 3/12

Author: ttorble

.openpublishing.redirection.kubernetes-fleet.json

@@ -0,0 +1,9 @@
+{
+    "redirections": [
+       {
+            "source_path_from_root": "/articles/kubernetes-fleet/architectural-overview.md",
+            "redirect_url": "/azure/kubernetes-fleet/concepts-fleet",
+            "redirect_document_id": true
+        }
+    ]
+}

articles/ai-services/breadcrumb/toc.yml

@@ -0,0 +1,7 @@
+- name: Azure
+  tocHref: /azure/
+  topicHref: /azure/index
+  items:
+  - name: Azure AI services
+    tocHref: /azure/ai-services/
+    topicHref: /azure/ai-services/index

articles/ai-services/context/context.yml

@@ -0,0 +1,4 @@
+### YamlMime:ContextObject
+brand: azure
+breadcrumb_path: ../breadcrumb/toc.yml
+toc_rel: ../toc.yml

articles/ai-services/speech-service/call-center-telephony-integration.md

@@ -18,15 +18,11 @@ Typically, integration with the Speech service is handled by a telephony client
 
 Usually the telephony client handles the incoming audio stream from the SIP/RTP processor, the conversion to PCM and connects the streams using continuous recognition. It also triages the processing of the results, for example, analysis of speech transcripts for Agent Assist or connect with a dialog processing engine (for example, Azure Botframework or Power Virtual Agent) for Virtual Agent.
 
-For easier integration the Speech service also supports “ALAW in WAV container” and “MULAW in WAV container” for audio streaming.
+For easier integration the Speech service also supports “ALAW in WAV container” and “MULAW in WAV container” for audio streaming. To build this integration, we recommend using the [Speech SDK](./speech-sdk.md).
 
-To build this integration we recommend using the [Speech SDK](./speech-sdk.md).
+## Azure Communication Services 
 
-
-> [!TIP]
-> For guidance on reducing Text to speech latency check out the **[How to lower speech synthesis latency](./how-to-lower-speech-synthesis-latency.md?pivots=programming-language-csharp)** guide.
-> 
-> In addition, consider implementing a text to speech cache to store all synthesized audio and playback from the cache in case a string has previously been synthesized.
+[Azure Communication Services](../../communication-services/overview.md) call automation APIs provide telephony integration. real-time event triggers to perform actions based on custom business logic specific to their domain. Within the Call Automation APIs developers can use simple AI powered APIs, which can be used to play personalized greeting messages, recognize conversational voice inputs to gather information on contextual questions to drive a more self-service model with customers, use sentiment analysis to improve customer service overall. These content specific APIs are orchestrated through Azure AI services with support for customization of AI models without developers needing to terminate media streams on their services and streaming back to Azure for AI functionality. For more information, see [Azure Communication Services](../../communication-services/concepts/call-automation/azure-communication-services-azure-cognitive-services-integration.md?context=/azure/ai-services/speech-service/context/context).
 
 ## Next steps
 

articles/ai-services/speech-service/toc.yml

@@ -288,6 +288,8 @@ items:
         href: ingestion-client.md
       - name: Telephony Integration
         href: call-center-telephony-integration.md
+      - name: Connect Azure Communication Services with Azure AI services
+        href: ../../communication-services/concepts/call-automation/azure-communication-services-azure-cognitive-services-integration.md?context=/azure/ai-services/speech-service/context/context
     - name: Gaming integration
       href: gaming-concepts.md
     - name: Language learning

articles/aks/use-network-policies.md

@@ -62,7 +62,7 @@ In Windows, Azure Network Policy Manager doesn't support:
 
 ## Scale
 
-With Azure Network Policy Manager for Linux, we don't recommend scaling beyond 250 nodes and 20,000 pods. If you attempt to scale beyond these limits, you might encounter "Out of Memory" (OOM) errors. To increase your memory limit, create a support ticket.
+With Azure Network Policy Manager for Linux, we don't allow scaling beyond 250 nodes and 20,000 pods. If you attempt to scale beyond these limits, you might encounter "Out of Memory" (OOM) errors. To increase your memory limit, create a support ticket.
 
 ## Create an AKS cluster and enable network policy
 

articles/azure-arc/system-center-virtual-machine-manager/enable-guest-management-at-scale.md

@@ -7,7 +7,7 @@ author: Farha-Bano
 ms.author: v-farhabano
 manager: jsuri
 ms.topic: how-to 
-ms.date: 02/23/2024
+ms.date: 03/12/2024
 keywords: "VMM, Arc, Azure"
 
 #Customer intent: As an IT infrastructure admin, I want to install arc agents to use Azure management services for SCVMM VMs.
@@ -22,8 +22,8 @@ In this article, you learn how to install Arc agents at scale for SCVMM VMs and
 
 >[!NOTE]
 >This article is applicable only if you are running:  
->- SCVMM 2022 UR1 or later
->- SCVMM 2019 UR5 or later
+>- SCVMM 2022 UR1 or later versions of SCVMM server or console
+>- SCVMM 2019 UR5 or later versions of SCVMM server or console
 >- VMs running Windows Server 2012 R2, 2016, 2019, 2022, Windows 10, and Windows 11  
 >For other SCVMM versions, Linux VMs or Windows VMs running WS 2012 or earlier, [install Arc agents through the script](install-arc-agents-using-script.md).
 

articles/azure-arc/system-center-virtual-machine-manager/media/perform-vm-ops-on-scvmm-through-azure/manage-vms.png

@@ -0,0 +1,79 @@
+---
+title: Perform VM operations on SCVMM VMs through Azure
+description: Learn how to manage SCVMM VMs in Azure through Arc-enabled SCVMM.
+ms.topic: how-to 
+ms.date: 03/12/2024
+ms.service: azure-arc
+ms.subservice: azure-arc-scvmm
+author: Farha-Bano
+ms.author: v-farhabano
+manager: jsuri
+---
+
+# Manage SCVMM VMs in Azure through Arc-enabled SCVMM
+
+In this article, you learn how to perform various operations on the Azure Arc-enabled SCVMM VMs such as:
+
+- Start, stop, and restart a VM
+
+- Control access and add Azure tags
+
+- Add, remove, and update network interfaces
+
+- Add, remove, and update disks and update VM size (CPU cores, memory)
+
+- Enable guest management
+
+- Install extensions (enabling guest management is required). All the [extensions](../servers/manage-vm-extensions.md#extensions) that are available with Arc-enabled Servers are supported.
+
+:::image type="content" source="media/perform-vm-ops-on-scvmm-through-azure/manage-vms.png" alt-text="Screenshot showing the SCVMM virtual machine operations." lightbox="media/perform-vm-ops-on-scvmm-through-azure/manage-vms.png":::
+
+To perform guest OS operations on Arc-enabled SCVMM VMs, you must enable guest management on the VMs. When you enable guest management, the Arc Connected Machine Agent is installed on the VM.
+
+## Enable guest management
+
+Before you can install an extension, you must enable guest management on the SCVMM VM.  
+
+1. Make sure your target machine:
+
+   - is running a [supported operating system](../servers/prerequisites.md#supported-operating-systems).
+
+   - can connect through the firewall to communicate over the internet and [these URLs](../servers/network-requirements.md#urls) aren't blocked.
+
+   - has SCVMM tools installed and running.
+
+   - is powered on and the resource bridge has network connectivity to the host running the VM.
+
+1. From your browser, go to the [Azure portal](https://portal.azure.com).
+
+2. Search for and select the SCVMM VM for which you want to enable guest management and select **Configuration**.
+
+3. Select **Enable guest management** and provide the administrator username and password to enable guest management.  Then select **Apply**.
+
+For Linux, use the root account, and for Windows, use an account that is a member of the Local Administrators group.
+
+>[!Note]
+>You can install Arc agents at scale on Arc-enabled SCVMM VMs through Azure Portal only if you are running: 
+>- SCVMM 2022 UR1 or later versions of SCVMM server and console
+>- SCVMM 2019 UR5 or later versions of SCVMM server and console
+>- VMs running Windows Server 2012 R2, 2016, 2019, 2022, Windows 10, and Windows 11 <br>
+> For other SCVMM versions, Linux VMs, or Windows VMs running WS 2012 or earlier, [install Arc agents through the script](./install-arc-agents-using-script.md).
+
+## Delete a VM
+
+If you no longer need the VM, you can delete it.
+
+1. From your browser, go to the [Azure portal](https://portal.azure.com).
+
+2. Search for and select the VM you want to delete.
+
+3. In the selected VM's Overview page, select **Delete**.
+
+4. When prompted, confirm that you want to delete it.
+
+>[!NOTE]
+>This also deletes the VM on your SCVMM managed on-premises host.
+
+## Next steps
+
+[Create a Virtual Machine on SCVMM managed on-premises hosts](./create-virtual-machine.md).

articles/azure-arc/system-center-virtual-machine-manager/perform-vm-ops-on-scvmm-through-azure.md

@@ -30,6 +30,8 @@
     items:
     - name: Set up and manage self-service access to SCVMM resources
       href: set-up-and-manage-self-service-access-scvmm.md
+    - name: Perform VM operations on SCVMM VMs through Azure
+      href: perform-vm-ops-on-scvmm-through-azure.md
   - name: Use Azure Management services for SCVMM VMs
     items:
     - name: Install Arc agent at scale for SCVMM VMs