Merge pull request #278684 from MicrosoftDocs/main

6/19/2024 AM Publish

Author: Taojunshen

.openpublishing.redirection.json

@@ -1135,6 +1135,11 @@
             "redirect_url": "/azure/container-instances/container-instances-multi-container-group",
             "redirect_document_id": false
         },
+        {
+            "source_path_from_root": "/articles/container-instances/container-instances-monitor.md",
+            "redirect_url": "/azure/container-instances/monitor-azure-container-instances",
+            "redirect_document_id": false
+        },
         {
             "source_path_from_root": "/articles/cassandra-managed-instance/compare-cosmosdb-managed-instance.md",
             "redirect_url": "/azure/managed-instance-apache-cassandra/compare-cosmosdb-managed-instance",

articles/ai-services/openai/concepts/model-retirements.md

@@ -4,7 +4,7 @@ titleSuffix: Azure OpenAI
 description: Learn about the model deprecations and retirements in Azure OpenAI.
 ms.service: azure-ai-openai
 ms.topic: conceptual
-ms.date: 06/04/2024
+ms.date: 06/19/2024
 ms.custom: 
 manager: nitinme
 author: mrbullwinkle
@@ -60,11 +60,11 @@ These models are currently available for use in Azure OpenAI Service.
 
 | Model | Version | Retirement date |
 | ---- | ---- | ---- |
-| `gpt-35-turbo` | 0301 | No earlier than August 1, 2024 |
-| `gpt-35-turbo`<br>`gpt-35-turbo-16k` | 0613 | No earlier than August 1, 2024 |
+| `gpt-35-turbo` | 0301 | No earlier than October 1, 2024 |
+| `gpt-35-turbo`<br>`gpt-35-turbo-16k` | 0613 | October 1, 2024 |
 | `gpt-35-turbo` | 1106 | No earlier than Nov 17, 2024 |
 | `gpt-35-turbo` | 0125 | No earlier than Feb 22, 2025 |
-| `gpt-4`<br>`gpt-4-32k` | 0314 | No earlier than July 13, 2024 |
+| `gpt-4`<br>`gpt-4-32k` | 0314 | **Deprecation:** October 1, 2024 <br> **Retirement:** June 6, 2025 |
 | `gpt-4`<br>`gpt-4-32k` | 0613 | No earlier than Sep 30, 2024 |
 | `gpt-4` | 1106-preview | To be upgraded to `gpt-4` Version: `turbo-2024-04-09`, starting on July 15, 2024, or later **<sup>1</sup>** |
 | `gpt-4` | 0125-preview |To be upgraded to `gpt-4` Version: `turbo-2024-04-09`, starting on July 15, 2024, or later  **<sup>1</sup>**  |
@@ -116,6 +116,12 @@ If you're an existing customer looking for information about these models, see [
 
 ## Retirement and deprecation history
 
+## June 19, 2024
+
+* Updated `gpt-35-turbo` 0301 retirement date to no earlier than October 1, 2024.
+* Updated `gpt-35-turbo` & `gpt-35-turbo-16k`0613 retirement date to October 1, 2024.
+* Updated `gpt-4` & `gpt-4-32k` 0314 deprecation date to October 1, 2024, and retirement date to June 6, 2025.  
+
 ### June 4, 2024
 
 Retirement date for legacy models updated by one month.

articles/ai-services/openai/concepts/models.md

@@ -4,7 +4,7 @@ titleSuffix: Azure OpenAI
 description: Learn about the different model capabilities that are available with Azure OpenAI.
 ms.service: azure-ai-openai
 ms.topic: conceptual
-ms.date: 05/13/2024
+ms.date: 06/19/2024
 ms.custom: references_regions, build-2023, build-2023-dataai, refefences_regions
 manager: nitinme
 author: mrbullwinkle #ChrisHMSFT
@@ -14,7 +14,7 @@ recommendations: false
 
 # Azure OpenAI Service models
 
-Azure OpenAI Service is powered by a diverse set of models with different capabilities and price points. Model availability varies by region. For GPT-3 and other models retiring in July 2024, see [Azure OpenAI Service legacy models](./legacy-models.md).
+Azure OpenAI Service is powered by a diverse set of models with different capabilities and price points. Model availability varies by region.
 
 | Models | Description |
 |--|--|
@@ -75,9 +75,6 @@ See [model versions](../concepts/model-versions.md) to learn about how Azure Ope
 > [!CAUTION]
 > We don't recommend using preview models in production. We will upgrade all deployments of preview models to either future preview versions or to the latest stable/GA version. Models designated preview do not follow the standard Azure OpenAI model lifecycle.
 
-> [!NOTE]
-> Version `0314` of `gpt-4` and `gpt-4-32k` will be retired no earlier than July 5, 2024.  Version `0613` of `gpt-4` and `gpt-4-32k` will be retired no earlier than September 30, 2024.  See [model updates](../how-to/working-with-models.md#model-updates) for model upgrade behavior.
-
 - GPT-4 version 0125-preview is an updated version of the GPT-4 Turbo preview previously released as version 1106-preview.  
 - GPT-4 version 0125-preview completes tasks such as code generation more completely compared to gpt-4-1106-preview. Because of this, depending on the task, customers may find that GPT-4-0125-preview generates more output compared to the gpt-4-1106-preview.  We recommend customers compare the outputs of the new model.  GPT-4-0125-preview also addresses bugs in gpt-4-1106-preview with UTF-8 handling for non-English languages. 
 - GPT-4 version `turbo-2024-04-09` is the latest GA release and replaces `0125-Preview`, `1106-preview`, and `vision-preview`.
@@ -216,9 +213,6 @@ GPT-3.5 Turbo version 0301 is the first version of the model released.  Version
 
 See [model versions](../concepts/model-versions.md) to learn about how Azure OpenAI Service handles model version upgrades, and [working with models](../how-to/working-with-models.md) to learn how to view and configure the model version settings of your GPT-3.5 Turbo deployments.
 
-> [!NOTE]
-> Version `0613` of `gpt-35-turbo` and `gpt-35-turbo-16k` will be retired no earlier than August 1, 2024. Version `0301` of `gpt-35-turbo` will be retired no earlier than August 1, 2024.  See [model updates](../how-to/working-with-models.md#model-updates) for model upgrade behavior.
-
 ### GPT-3.5-Turbo model availability
 
 #### Public cloud regions
@@ -316,9 +310,13 @@ For Assistants you need a combination of a supported model, and a supported regi
 | West US |  | ✅ | | | ✅ | | 
 | West US 3 |  |  | | |✅ | | 
 
+## Model retirement
+
+For the latest information on model retirements, refer to the [model retirement guide](./model-retirements.md).
 
 ## Next steps
 
+- [Model retirement and deprecation](./model-retirements.md)
 - [Learn more about working with Azure OpenAI models](../how-to/working-with-models.md)
 - [Learn more about Azure OpenAI](../overview.md)
 - [Learn more about fine-tuning Azure OpenAI models](../how-to/fine-tuning.md)

articles/ai-services/openai/whats-new.md

@@ -10,7 +10,7 @@ ms.custom:
   - ignite-2023
   - references_regions
 ms.topic: whats-new
-ms.date: 06/18/2024
+ms.date: 06/19/2024
 recommendations: false
 ---
 
@@ -20,6 +20,14 @@ This article provides a summary of the latest releases and major documentation u
 
 ## June 2024
 
+### Retirement date updates
+
+* Updated `gpt-35-turbo` 0301 retirement date to no earlier than October 1, 2024.
+* Updated `gpt-35-turbo` & `gpt-35-turbo-16k`0613 retirement date to October 1, 2024.
+* Updated `gpt-4` & `gpt-4-32k` 0314 deprecation date to October 1, 2024, and retirement date to June 6, 2025.  
+
+Refer to our [model retirement guide](./concepts/model-retirements.md) for the latest information on model deprecation and retirement.
+
 ### Token based billing for fine-tuning
 
 * Azure OpenAI fine-tuning billing is now based on the number of tokens in your training file – instead of the total elapsed training time. This can result in a significant cost reduction for some training runs, and makes estimating fine-tuning costs much easier. To learn more, you can consult the [official announcement](https://techcommunity.microsoft.com/t5/ai-azure-ai-services-blog/pricing-update-token-based-billing-for-fine-tuning-training/ba-p/4164465).

articles/aks/azure-cni-powered-by-cilium.md

@@ -57,6 +57,8 @@ Azure CNI powered by Cilium currently has the following limitations:
 
 * Network policies may be enforced on reply packets when a pod connects to itself via service cluster IP ([Cilium issue #19406](https://github.com/cilium/cilium/issues/19406)).
 
+* Network policies are not applied to pods using host networking (`spec.hostNetwork: true`) because these pods use the host identity instead of having individual identities.
+
 ## Prerequisites
 
 * Azure CLI version 2.48.1 or later. Run `az --version` to see the currently installed version. If you need to install or upgrade, see [Install Azure CLI](/cli/azure/install-azure-cli).

articles/api-management/how-to-configure-local-metrics-logs.md

@@ -230,6 +230,12 @@ Here's a sample configuration of local logging:
         telemetry.logs.local.localsyslog.facility: "7"
 ```
 
+### Using local JSON endpoint
+
+#### Known limitations
+
+- We only support up to 3072 bytes of request/response payload for local diagnostics. Anything above, may break JSON format due to chunking.
+
 ### Using local syslog logs
 
 #### Configuring gateway to stream logs

articles/app-service/environment/overview.md

@@ -3,7 +3,7 @@ title: App Service Environment overview
 description: This article discusses the Azure App Service Environment feature of Azure App Service.
 author: madsd
 ms.topic: overview
-ms.date: 05/27/2024
+ms.date: 06/18/2024
 ms.author: madsd
 ms.custom: "UpdateFrequency3, references_regions"
 ---
@@ -12,7 +12,7 @@ ms.custom: "UpdateFrequency3, references_regions"
 
 [!INCLUDE [regionalization-note](../includes/regionalization-note.md)]
 
-An App Service Environment is an Azure App Service feature that provides a fully isolated and dedicated environment for running App Service apps securely at high scale.
+An App Service Environment is an Azure App Service feature that provides a fully isolated and dedicated environment for running App Service apps securely at high scale. Unlike the App Service public multitenant offering where supporting ingfrastructure is shared, with App Service Environment, compute is dedicated to a single customer. For more information on the differences between App Service Environment and App Service public multitenant, see the [comparison of the offerings](ase-multi-tenant-comparison.md).
 
 > [!NOTE]
 > This article covers the features, benefits, and use cases of App Service Environment v3, which is used with App Service Isolated v2 plans.

articles/azure-arc/choose-service.md

@@ -1,7 +1,7 @@
 ---
 title: Choosing the right Azure Arc service for machines
 description: Learn about the different services offered by Azure Arc and how to choose the right one for your machines.
-ms.date: 05/07/2024
+ms.date: 06/19/2024
 ms.topic: conceptual
 ---
 
@@ -147,7 +147,7 @@ The following table provides a quick way to see the major capabilities of the th
 
 If you currently use Azure Arc-enabled servers, you can get the additional capabilities that come with Arc-enabled VMware vSphere or Arc-enabled SCVMM:
 
-- [Enable virtual hardware and VM CRUD capabilities in a machine with Azure Arc agent installed](/azure/azure-arc/vmware-vsphere/enable-virtual-hardware)
+- [Enable virtual hardware and VM CRUD capabilities in a VMware machine with Azure Arc agent installed](/azure/azure-arc/vmware-vsphere/enable-virtual-hardware)
 
 - [Enable virtual hardware and VM CRUD capabilities in an SCVMM machine with Azure Arc agent installed](/azure/azure-arc/system-center-virtual-machine-manager/enable-virtual-hardware-scvmm)
 

articles/azure-cache-for-redis/cache-how-to-upgrade.md

@@ -36,7 +36,7 @@ This table contains the information for which Redis version are available in eac
 | Tier                         |        Available Redis version       |
 |:---------------------------- |:------------------------------------:|
 | Basic, Standard, Premium     |               6.0 (GA)               |
-| Enterprise, Enterprise Flash | Redis 6.2 (GA), Redis 7.2 (preview)  |
+| Enterprise, Enterprise Flash | Redis 6.0 (GA), Redis 7.2 (preview)  |
 
 ## How to upgrade - Basic, Standard, and Premium tiers
 

articles/azure-monitor/agents/azure-monitor-agent-mma-removal-tool.md

@@ -12,6 +12,9 @@ ms.custom:
 
 # MMA Discovery and Removal Utility
 
+> [!NOTE]
+> We have received many reports from customers that this tool is failing to remove MMA agents. At this time, we recommend that this tool not be used.
+
 After you migrate your machines to the Azure Monitor Agent (AMA), remove the Log Analytics or Microsoft Management Agent (MMA) to avoid duplication of logs. The Azure Tenant Security Solution (AzTS) MMA Discovery and Removal Utility can remove the MMA extension from Azure Virtual Machines (VMs), Azure Virtual Machine Scale Sets (VMSSs), and Azure Arc servers from a tenant.  
 
 > [!NOTE]
@@ -457,4 +460,4 @@ The script contains these parameters:
 |`DeleteResourceGroup`| Boolean flag to delete an entire resource group.| Yes|
 |`KeepInventoryAndProcessLogs`| Boolean flag to exclude the Log Analytics workspace and Application Insights. You can't use it with `DeleteResourceGroup`.| No|
 
----
+---