Merge branch 'main' of https://github.com/MicrosoftDocs/azure-docs-pr into dns-endpoint-integration

Author: asudbring

.openpublishing.publish.config.json

@@ -944,6 +944,12 @@
       "branch": "main",
       "branch_mapping": {}
     },
+    {
+      "path_to_root": "msdocs-quarkus-postgresql-sample-app",
+      "url": "https://github.com/Azure-Samples/msdocs-quarkus-postgresql-sample-app",
+      "branch": "main",
+      "branch_mapping": {}
+    },
     {
       "path_to_root": "azuresignalr-samples",
       "url": "https://github.com/aspnet/AzureSignalR-samples",

.openpublishing.redirection.json

@@ -25759,5 +25759,17 @@
             "source_path_from_root": "/articles/virtual-machines/extensions/dsc-linux.md",
             "redirect_url": "/azure/virtual-machines/extensions/dsc-overview"
         }
+	    ,
+        {
+            "source_path_from_root": "/articles/orbital/license-spacecraft.md",
+            "redirect_url": "/azure/orbital/initiate-licensing",
+            "redirect_document_id": false
+        }
+	,
+	{
+            "source_path_from_root": "/articles/orbital/partner-network-integration.md",
+            "redirect_url": "/azure/orbital/about-ground-stations#partner-ground-stations",
+            "redirect_document_id": false
+        }    
     ]
 }

articles/ai-services/openai/how-to/migration.md

@@ -149,7 +149,7 @@ client = AzureOpenAI(
     api_key=os.getenv("AZURE_OPENAI_KEY"),  
     api_version="2023-10-01-preview",
     azure_endpoint = os.getenv("AZURE_OPENAI_ENDPOINT")
-    )
+)
 
 deployment_name='REPLACE_WITH_YOUR_DEPLOYMENT_NAME' #This will correspond to the custom name you chose for your deployment when you deployed a model. 
 

articles/ai-services/openai/how-to/switching-endpoints.md

@@ -123,7 +123,7 @@ OpenAI uses the `model` keyword argument to specify what model to use. Azure Ope
 ```python
 completion = client.completions.create(
     model='gpt-3.5-turbo-instruct',
-    prompt="<prompt>)
+    prompt="<prompt>")
 )
 
 chat_completion = client.chat.completions.create(

articles/ai-services/speech-service/batch-transcription.md

@@ -36,7 +36,7 @@ To use the batch transcription REST API:
 1. [Get batch transcription results](batch-transcription-get.md) - Check transcription status and retrieve transcription results asynchronously. 
 
 > [!IMPORTANT]
-> Batch transcription jobs are scheduled on a best-effort basis. At pick hours it may take up to 30 minutes or longer for a transcription job to start processing. See how to check the current status of a batch transcription job in [this section](batch-transcription-get.md#get-transcription-status).
+> Batch transcription jobs are scheduled on a best-effort basis. At peak hours it may take up to 30 minutes or longer for a transcription job to start processing. See how to check the current status of a batch transcription job in [this section](batch-transcription-get.md#get-transcription-status).
 
 ## Next steps
 

articles/ai-services/speech-service/text-to-speech-avatar/real-time-synthesis-avatar.md

@@ -26,7 +26,7 @@ To get started, make sure you have the following prerequisites:
 - **Your speech resource key and region:** After your Speech resource is deployed, select **Go to resource** to view and manage keys. For more information about Azure AI services resources, see [Get the keys for your resource](/azure/ai-services/multi-service-resource?pivots=azportal&tabs=windows#get-the-keys-for-your-resource).
 - If you build an application of real time avatar: 
    - **Communication resource:** Create a [Communication resource](https://portal.azure.com/#create/Microsoft.Communication) in the Azure portal (for real-time avatar synthesis only).
-   - You also need your network relay token for real-time avatar synthesis. After deploying your Communication resource, select **Go to resource** to view the endpoint and connection string under **Settings** -> **Keys** tab, and then follow [Access TURN relays](/azure/ai-services/speech-service/quickstarts/setup-platform#install-the-speech-sdk-for-javascript) to generate the relay token with the endpoint and connection string filled.
+   - You also need your network relay token for real-time avatar synthesis. After deploying your Communication resource, select **Go to resource** to view the endpoint and connection string under **Settings** -> **Keys** tab, and then follow [Access TURN relays](/azure/communication-services/quickstarts/relay-token) to generate the relay token with the endpoint and connection string filled.
 
 ## Set up environment
 

articles/ai-services/translator/translator-text-apis.md

@@ -519,14 +519,20 @@ public class TranslatorText {
 
 ```javascript
 const axios = require('axios').default;
-    const { v4: uuidv4 } = require('uuid');
+const { v4: uuidv4 } = require('uuid');
 
-    let key = "<your-translator-key>";
-    let endpoint = "https://api.cognitive.microsofttranslator.com";
+let key = "<your-translator-key>";
+let endpoint = "https://api.cognitive.microsofttranslator.com";
 
-    // location, also known as region.
-    // required if you're using a multi-service or regional (not global) resource. It can be found in the Azure portal on the Keys and Endpoint page.
-    let location = "<YOUR-RESOURCE-LOCATION>";
+// location, also known as region.
+// required if you're using a multi-service or regional (not global) resource. It can be found in the Azure portal on the Keys and Endpoint page.
+let location = "<YOUR-RESOURCE-LOCATION>";
+
+let params = new URLSearchParams();
+params.append("api-version", "3.0");
+params.append("from", "en");
+params.append("to", "sw");
+params.append("to", "it");
 
 axios({
     baseURL: endpoint,
@@ -539,11 +545,7 @@ axios({
         'Content-type': 'application/json',
         'X-ClientTraceId': uuidv4().toString()
     },
-    params: {
-        'api-version': '3.0',
-        'from': 'en',
-        'to': ['sw', 'it']
-    },
+    params: params,
     data: [{
         'text': 'Hello, friend! What did you do today?'
     }],
@@ -810,6 +812,11 @@ let endpoint = "https://api.cognitive.microsofttranslator.com";
 // This is required if using an Azure AI multi-service resource.
 let location = "<YOUR-RESOURCE-LOCATION>";
 
+let params = new URLSearchParams();
+params.append("api-version", "3.0");
+params.append("to", "en");
+params.append("to", "it");
+
 axios({
     baseURL: endpoint,
     url: '/translate',
@@ -821,10 +828,7 @@ axios({
         'Content-type': 'application/json',
         'X-ClientTraceId': uuidv4().toString()
     },
-    params: {
-        'api-version': '3.0',
-        'to': ['en', 'it']
-    },
+    params: params,
     data: [{
         'text': 'Halo, rafiki! Ulifanya nini leo?'
     }],
@@ -1086,6 +1090,9 @@ let endpoint = "https://api.cognitive.microsofttranslator.com";
 // This is required if using an Azure AI multi-service resource.
 let location = "<YOUR-RESOURCE-LOCATION>";
 
+let params = new URLSearchParams();
+params.append("api-version", "3.0");
+
 axios({
     baseURL: endpoint,
     url: '/detect',
@@ -1097,9 +1104,7 @@ axios({
         'Content-type': 'application/json',
         'X-ClientTraceId': uuidv4().toString()
     },
-    params: {
-        'api-version': '3.0'
-    },
+    params: params,
     data: [{
         'text': 'Hallo Freund! Was hast du heute gemacht?'
     }],
@@ -1365,6 +1370,11 @@ let endpoint = "https://api.cognitive.microsofttranslator.com";
 // This is required if using an Azure AI multi-service resource.
 let location = "<YOUR-RESOURCE-LOCATION>";
 
+let params = new URLSearchParams();
+params.append("api-version", "3.0");
+params.append("to", "th");
+params.append("toScript", "latn");
+
 axios({
     baseURL: endpoint,
     url: '/translate',
@@ -1376,11 +1386,7 @@ axios({
         'Content-type': 'application/json',
         'X-ClientTraceId': uuidv4().toString()
     },
-    params: {
-        'api-version': '3.0',
-        'to': 'th',
-        'toScript': 'latn'
-    },
+    params: params,
     data: [{
         'text': 'Hello, friend! What did you do today?'
     }],
@@ -1650,6 +1656,12 @@ let endpoint = "https://api.cognitive.microsofttranslator.com";
 // This is required if using an Azure AI multi-service resource.
 let location = "<YOUR-RESOURCE-LOCATION>";
 
+let params = new URLSearchParams();
+params.append("api-version", "3.0");
+params.append("language", "th");
+params.append("fromScript", "thai");
+params.append("toScript", "latn");
+
 axios({
     baseURL: endpoint,
     url: '/transliterate',
@@ -1661,12 +1673,7 @@ axios({
         'Content-type': 'application/json',
         'X-ClientTraceId': uuidv4().toString()
     },
-    params: {
-        'api-version': '3.0',
-        'language': 'th',
-        'fromScript': 'thai',
-        'toScript': 'latn'
-    },
+    params: params,
     data: [{
         'text': 'สวัสดีเพื่อน! วันนี้คุณทำอะไร'
     }],
@@ -1926,6 +1933,11 @@ let endpoint = "https://api.cognitive.microsofttranslator.com";
 // This is required if using an Azure AI multi-service resource.
 let location = "<YOUR-RESOURCE-LOCATION>";
 
+let params = new URLSearchParams();
+params.append("api-version", "3.0");
+params.append("to", "es");
+params.append("includeSentenceLength", true);
+
 axios({
     baseURL: endpoint,
     url: '/translate',
@@ -1937,11 +1949,7 @@ axios({
         'Content-type': 'application/json',
         'X-ClientTraceId': uuidv4().toString()
     },
-    params: {
-        'api-version': '3.0',
-        'to': 'es',
-        'includeSentenceLength': true
-    },
+    params: params,
     data: [{
         'text': 'Can you tell me how to get to Penn Station? Oh, you aren\'t sure? That\'s fine.'
     }],
@@ -2209,6 +2217,9 @@ let endpoint = "https://api.cognitive.microsofttranslator.com";
 // This is required if using an Azure AI multi-service resource.
 let location = "<YOUR-RESOURCE-LOCATION>";
 
+let params = new URLSearchParams();
+params.append("api-version", "3.0");
+
 axios({
     baseURL: endpoint,
     url: '/breaksentence',
@@ -2220,9 +2231,7 @@ axios({
         'Content-type': 'application/json',
         'X-ClientTraceId': uuidv4().toString()
     },
-    params: {
-        'api-version': '3.0'
-    },
+    params: params,
     data: [{
         'text': 'Can you tell me how to get to Penn Station? Oh, you aren\'t sure? That\'s fine.'
     }],
@@ -2477,6 +2486,11 @@ let endpoint = "https://api.cognitive.microsofttranslator.com";
 // This is required if using an Azure AI multi-service resource.
 let location = "<YOUR-RESOURCE-LOCATION>";
 
+let params = new URLSearchParams();
+params.append("api-version", "3.0");
+params.append("from", "en");
+params.append("to", "es");
+
 axios({
     baseURL: endpoint,
     url: '/dictionary/lookup',
@@ -2488,11 +2502,7 @@ axios({
         'Content-type': 'application/json',
         'X-ClientTraceId': uuidv4().toString()
     },
-    params: {
-        'api-version': '3.0',
-        'from': 'en',
-        'to': 'es'
-    },
+    params: params,
     data: [{
         'text': 'sunlight'
     }],
@@ -2900,6 +2910,11 @@ let endpoint = "https://api.cognitive.microsofttranslator.com";
 // This is required if using an Azure AI multi-service resource.
 let location = "<YOUR-RESOURCE-LOCATION>";
 
+let params = new URLSearchParams();
+params.append("api-version", "3.0");
+params.append("from", "en");
+params.append("to", "es");
+
 axios({
     baseURL: endpoint,
     url: '/dictionary/examples',
@@ -2911,11 +2926,7 @@ axios({
         'Content-type': 'application/json',
         'X-ClientTraceId': uuidv4().toString()
     },
-    params: {
-        'api-version': '3.0',
-        'from': 'en',
-        'to': 'es'
-    },
+    params: params,
     data: [{
         'text': 'sunlight',
         'translation': 'luz solar'

articles/aks/TOC.yml

@@ -363,10 +363,12 @@
           href: use-labels.md
     - name: Security and authentication
       items:
-        - name: Defender for Containers overview
-          href: ../defender-for-cloud/defender-for-containers-introduction.md?toc=/azure/aks/toc.json&bc=/azure/aks/breadcrumb/toc.json
-        - name: Enable Defender for Containers
-          href: ../defender-for-cloud/defender-for-containers-enable.md?tabs=aks-deploy-portal%2Ck8s-deploy-asc%2Ck8s-verify-asc%2Ck8s-remove-arc%2Caks-removeprofile-api&pivots=defender-for-container-aks?toc=/azure/aks/toc.json&bc=/azure/aks/breadcrumb/toc.json
+        - name: Container security
+          items:
+            - name: Defender for Containers overview
+              href: ../defender-for-cloud/defender-for-containers-introduction.md?toc=/azure/aks/toc.json&bc=/azure/aks/breadcrumb/toc.json
+            - name: Enable Defender for Containers
+              href: ../defender-for-cloud/defender-for-containers-enable.md?tabs=aks-deploy-portal%2Ck8s-deploy-asc%2Ck8s-verify-asc%2Ck8s-remove-arc%2Caks-removeprofile-api&pivots=defender-for-container-aks?toc=/azure/aks/toc.json&bc=/azure/aks/breadcrumb/toc.json
         - name: Image security
           items:
             - name: Validate signed images with Image Integrity
@@ -379,6 +381,8 @@
               href: ../defender-for-cloud/defender-for-containers-introduction.mdtoc=/azure/aks/toc.json&bc=/azure/aks/breadcrumb/toc.json
         - name: Cluster security
           items:
+            - name: Azure kubelogin
+              href: kubelogin-authentication.md
             - name: Create service principal
               href: kubernetes-service-principal.md
             - name: Use managed identities

articles/aks/azure-cni-overlay.md

@@ -169,7 +169,7 @@ The `--pod-cidr` parameter is required when upgrading from legacy CNI because th
 
 [!INCLUDE [preview features callout](includes/preview/preview-callout.md)]
 
-You must register the `Microsoft.ContainerService` `AzureOverlayDualStackPreview` feature flag.
+You must have the latest aks-preview Azure CLI extension installed and register the `Microsoft.ContainerService` `AzureOverlayDualStackPreview` feature flag.
 
 Update an existing Kubenet cluster to use Azure CNI Overlay using the [`az aks update`][az-aks-update] command.
 

articles/aks/faq.md

@@ -354,7 +354,7 @@ The AKS Linux Extension is an Azure VM extension that installs and configures mo
 
 - [Node-exporter](https://github.com/prometheus/node_exporter): Collects hardware telemetry from the virtual machine and makes it available using a metrics endpoint. Then, a monitoring tool, such as Prometheus, is able to scrap these metrics.
 - [Node-problem-detector](https://github.com/kubernetes/node-problem-detector): Aims to make various node problems visible to upstream layers in the cluster management stack. It's a systemd unit that runs on each node, detects node problems, and reports them to the cluster’s API server using Events and NodeConditions.
-- [Local-gadget](https://inspektor-gadget.io/docs/): Uses in-kernel eBPF helper programs to monitor events related to syscalls from userspace programs in a pod.
+- [ig](https://inspektor-gadget.io/docs/latest/ig/): An eBPF-powered open-source framework for debugging and observing Linux and Kubernetes systems. It provides a set of tools (or gadgets) designed to gather relevant information, allowing users to identify the cause of performance issues, crashes, or other anomalies. Notably, its independence from Kubernetes enables users to employ it also for debugging control plane issues.
 
 These tools help provide observability around many node health related problems, such as: