Skip to content

Commit 9fa4610

Browse files
committed
Merge branch 'main' of https://github.com/MicrosoftDocs/azure-docs-pr into redirect
2 parents cac6831 + 6122e9f commit 9fa4610

File tree

6 files changed

+33
-28
lines changed

6 files changed

+33
-28
lines changed

articles/azure-portal/index.yml

Lines changed: 17 additions & 15 deletions
Original file line numberDiff line numberDiff line change
@@ -8,7 +8,7 @@ metadata:
88
description: Learn how to manage your Azure subscriptions and resources using the Azure portal web-based console. The Azure portal is an alternative to using command-line tools.
99
ms.topic: landing-page
1010
ms.service: azure-portal
11-
ms.date: 10/16/2023
11+
ms.date: 01/29/2024
1212

1313
# linkListType: architecture | concept | deploy | download | get-started | how-to-guide | learn | overview | quickstart | reference | tutorial | video | whats-new
1414

@@ -68,15 +68,18 @@ landingContent:
6868
url: azure-portal-dashboard-share-access.md
6969

7070
# Card
71-
- title: Reference
71+
- title: Azure mobile app
7272
linkLists:
73-
- linkListType: reference
73+
- linkListType: get-started
7474
links:
75-
- text: Azure CLI
76-
url: /cli/azure/portal
77-
- text: Azure PowerShell
78-
url: /powershell/module/az.portal
79-
75+
- text: What is the Azure mobile app?
76+
url: mobile-app/overview.md
77+
- text: Azure mobile app Home
78+
url: mobile-app/home.md
79+
- text: View and manage alerts
80+
url: mobile-app/alerts-notifications.md
81+
- text: Use Microsoft Entra ID
82+
url: mobile-app/microsoft-entra-id.md
8083

8184
# Card
8285
- title: Create and manage support requests
@@ -88,13 +91,12 @@ landingContent:
8891
- text: Manage an Azure support request
8992
url: supportability/how-to-manage-azure-support-request.md
9093

91-
9294
# Card
93-
- title: Azure mobile app
95+
- title: Reference
9496
linkLists:
95-
- linkListType: get-started
97+
- linkListType: reference
9698
links:
97-
- text: What is the Azure mobile app?
98-
url: mobile-app/overview.md
99-
- text: Azure mobile app Home
100-
url: mobile-app/home.md
99+
- text: Azure CLI
100+
url: /cli/azure/portal
101+
- text: Azure PowerShell
102+
url: /powershell/module/az.portal

articles/azure-vmware/azure-vmware-solution-known-issues.md

Lines changed: 2 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -4,7 +4,7 @@ description: This article provides details about the known issues of Azure VMwar
44
ms.topic: reference
55
ms.custom: "engagement-fy23"
66
ms.service: azure-vmware
7-
ms.date: 11/28/2023
7+
ms.date: 1/29/2024
88
---
99

1010
# Known issues: Azure VMware Solution
@@ -23,6 +23,7 @@ Refer to the table to find details about resolution dates or possible workaround
2323
| When I build a VMware HCX Service Mesh with the Enterprise license, the Replication Assisted vMotion Migration option isn't available. | 2023 | The default VMware HCX Compute Profile doesn't have the Replication Assisted vMotion Migration option enabled. From the Azure VMware Solution vSphere Client, select the VMware HCX option and edit the default Compute Profile to enable Replication Assisted vMotion Migration. | 2023 |
2424
| [VMSA-2023-023](https://www.vmware.com/security/advisories/VMSA-2023-0023.html) VMware vCenter Server Out-of-Bounds Write Vulnerability (CVE-2023-34048) publicized in October 2023 | October 2023 | Microsoft is currently working with its security teams and partners to evaluate the risk to Azure VMware Solution and its customers. Initial investigations show that controls in place within Azure VMware Solution reduce the risk of CVE-2023-03048. However Microsoft is working on a plan to roll out security fixes soon to completely remediate the security vulnerability. | October 2023 |
2525
| The AV64 SKU currently supports RAID-1 FTT1, RAID-5 FTT1, and RAID-1 FTT2 vSAN storage policies. For more information, see [AV64 supported RAID configuration](introduction.md#av64-supported-raid-configuration) | Nov 2023 | Use AV36, AV36P, or AV52 SKUs when RAID-6 FTT2 or RAID-1 FTT3 storage policies are needed. | N/A |
26+
| VMware HCX version 4.8.0 Network Extension (NE) Appliance VMs running in High Availability (HA) mode may experience intermittent Standby to Active failover. For more information, see [HCX - NE appliances in HA mode experience intermittent failover (96352)](https://kb.vmware.com/s/article/96352) | Jan 2024 | Avoid upgrading to VMware HCX 4.8.0 if you are using NE appliances in a HA configuration. | N/A |
2627

2728
In this article, you learned about the current known issues with the Azure VMware Solution.
2829

articles/confidential-computing/choose-confidential-containers-offerings.md

Lines changed: 2 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -2,7 +2,8 @@
22
title: Choose container offerings for confidential computing
33
description: How to choose the right confidential container offerings to meet your security, isolation and developer needs.
44
author: angarg05
5-
ms.service: container-service
5+
ms.service: virtual-machines
6+
ms.subservice: confidential-computing
67
ms.topic: conceptual
78
ms.date: 11/01/2021
89
ms.author: ananyagarg

articles/container-registry/container-registry-tasks-overview.md

Lines changed: 2 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -16,7 +16,8 @@ Containers provide new levels of virtualization, isolating application and devel
1616

1717
**ACR Tasks** is a suite of features within Azure Container Registry. It provides cloud-based container image building for [platforms](#image-platforms) including Linux, Windows, and ARM, and can automate [OS and framework patching](#automate-os-and-framework-patching) for your Docker containers. ACR Tasks not only extends your "inner-loop" development cycle to the cloud with on-demand container image builds, but also enables automated builds triggered by source code updates, updates to a container's base image, or timers. For example, with base image update triggers, you can automate your OS and application framework patching workflow, maintaining secure environments while adhering to the principles of immutable containers.
1818

19-
ACR is temporarily pausing ACR Tasks runs from Azure free credits. This may affect existing Tasks runs. If you encounter problems, open a [support case](../azure-portal/supportability/how-to-create-azure-support-request.md) for our team to provide additional guidance. We'll remove this note when this pause is lifted.
19+
>[! IMPORTANT]
20+
> ACR is temporarily pausing ACR Tasks runs from Azure free credits. This may affect existing Tasks runs. If you encounter problems, open a [support case](../azure-portal/supportability/how-to-create-azure-support-request.md) for our team to provide additional guidance. Please note that existing customers will not be affected by this pause. We will update our documentation notice here whenever the pause is lifted.
2021
2122
## Task scenarios
2223

articles/machine-learning/how-to-setup-mlops-github-azure-ml.md

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -8,7 +8,7 @@ ms.author: kritifaujdar
88
ms.service: machine-learning
99
ms.reviewer: larryfr
1010
ms.subservice: mlops
11-
ms.date: 11/29/2022
11+
ms.date: 01/29/2024
1212
ms.topic: conceptual
1313
ms.custom: cli-v2, sdk-v2, github-actions-azure, build-2023, build-2023-dataai
1414
---

articles/machine-learning/overview-what-is-azure-machine-learning.md

Lines changed: 9 additions & 9 deletions
Original file line numberDiff line numberDiff line change
@@ -8,7 +8,7 @@ ms.topic: overview
88
author: frogglew
99
ms.author: saoh
1010
ms.reviewer: sgilley
11-
ms.date: 09/22/2022
11+
ms.date: 01/29/2024
1212
ms.custom:
1313
- event-tier1-build-2022
1414
- ignite-2022
@@ -53,7 +53,7 @@ Anyone on an ML team can use their preferred tools to get the job done. Whether
5353

5454
* [Azure Machine Learning studio](https://ml.azure.com)
5555
* [Python SDK (v2)](https://aka.ms/sdk-v2-install)
56-
* [Azure CLI (v2)](how-to-configure-cli.md))
56+
* [Azure CLI (v2)](how-to-configure-cli.md)
5757
* [Azure Resource Manager REST APIs](/rest/api/azureml/)
5858

5959
As you're refining the model and collaborating with others throughout the rest of the Machine Learning development cycle, you can share and find assets, resources, and metrics for your projects on the Machine Learning studio UI.
@@ -94,7 +94,7 @@ Other integrations with Azure services support an ML project from end to end. Th
9494
* [Microsoft Purview, which allows you to discover and catalog data assets across your organization](../purview/register-scan-azure-machine-learning.md).
9595

9696
> [!Important]
97-
> Machine Learning doesn't store or process your data outside of the region where you deploy.
97+
> Azure Machine Learning doesn't store or process your data outside of the region where you deploy.
9898
9999
## Machine learning project workflow
100100

@@ -116,11 +116,11 @@ You can deploy models to the managed inferencing solution, for both real-time an
116116

117117
## Train models
118118

119-
In Machine Learning, you can run your training script in the cloud or build a model from scratch. Customers often bring models they've built and trained in open-source frameworks so that they can operationalize them in the cloud.
119+
In Azure Machine Learning, you can run your training script in the cloud or build a model from scratch. Customers often bring models they've built and trained in open-source frameworks so that they can operationalize them in the cloud.
120120

121121
### Open and interoperable
122122

123-
Data scientists can use models in Machine Learning that they've created in common Python frameworks, such as:
123+
Data scientists can use models in Azure Machine Learning that they've created in common Python frameworks, such as:
124124

125125
* PyTorch
126126
* TensorFlow
@@ -167,7 +167,7 @@ Scaling an ML project might require scaling embarrassingly parallel model traini
167167

168168
## Deploy models
169169

170-
To bring a model into production, it's deployed. The Machine Learning managed endpoints abstract the required infrastructure for both batch or real-time (online) model scoring (inferencing).
170+
To bring a model into production, you deploy the model. The Azure Machine Learning managed endpoints abstract the required infrastructure for both batch or real-time (online) model scoring (inferencing).
171171

172172
### Real-time and batch scoring (inferencing)
173173

@@ -213,6 +213,6 @@ If you use Apache Airflow, the [airflow-provider-azure-machinelearning](https://
213213

214214
Start using Azure Machine Learning:
215215

216-
- [Set up an Azure Machine Learning workspace](quickstart-create-resources.md)
217-
- [Tutorial: Build a first machine learning project](tutorial-1st-experiment-hello-world.md)
218-
- [Run training jobs](how-to-train-model.md)
216+
* [Set up an Azure Machine Learning workspace](quickstart-create-resources.md)
217+
* [Tutorial: Build a first machine learning project](tutorial-1st-experiment-hello-world.md)
218+
* [Run training jobs](how-to-train-model.md)

0 commit comments

Comments
 (0)