Merge pull request #232709 from sdgilley/sdg-preview-ga

v-dirichards · web-flow · commit 26ea3140c810 · 2023-03-31T15:09:03.000-05:00
remove (preview)s for compute instance
diff --git a/articles/machine-learning/concept-compute-instance.md b/articles/machine-learning/concept-compute-instance.md
@@ -42,9 +42,9 @@ A compute instance is a fully managed cloud-based workstation optimized for your
 
 * Secure your compute instance with **[No public IP](./how-to-secure-training-vnet.md)**.
 * The compute instance is also a secure training compute target similar to [compute clusters](how-to-create-attach-compute-cluster.md), but it's single node. 
-* You can [create a compute instance](how-to-create-manage-compute-instance.md?tabs=python#create) yourself, or an administrator can **[create a compute instance on your behalf](how-to-create-manage-compute-instance.md?tabs=python#create-on-behalf-of-preview)**.
+* You can [create a compute instance](how-to-create-manage-compute-instance.md?tabs=python#create) yourself, or an administrator can **[create a compute instance on your behalf](how-to-create-manage-compute-instance.md?tabs=python#create-on-behalf-of)**.
 * You can also **[use a setup script](how-to-customize-compute-instance.md)**  for an automated way to customize and configure the compute instance as per your needs.
-* To save on costs, **[create  a schedule](how-to-create-manage-compute-instance.md#schedule-automatic-start-and-stop)** to automatically start and stop the compute instance, or [enable idle shutdown](how-to-create-manage-compute-instance.md#enable-idle-shutdown-preview)
+* To save on costs, **[create  a schedule](how-to-create-manage-compute-instance.md#schedule-automatic-start-and-stop)** to automatically start and stop the compute instance, or [enable idle shutdown](how-to-create-manage-compute-instance.md#enable-idle-shutdown)
 
 
 ## Tools and environments
@@ -72,14 +72,14 @@ Following tools and environments are already installed on the compute instance:
 |----|:----:|
 |R kernel||
 
-You can [Add RStudio or Posit Workbench (formerly RStudio Workbench)](how-to-create-manage-compute-instance.md#add-custom-applications-such-as-rstudio-or-posit-workbench-preview) when you create the instance.
+You can [Add RStudio or Posit Workbench (formerly RStudio Workbench)](how-to-create-manage-compute-instance.md#add-custom-applications-such-as-rstudio-or-posit-workbench) when you create the instance.
 
 |**PYTHON** tools & environments|Details|
 |----|----|
 |Anaconda Python||
 |Jupyter and extensions||
 |Jupyterlab and extensions||
-[Azure Machine Learning SDK for Python](https://aka.ms/sdk-v2-install)</br>from PyPI|Includes most of the azureml extra packages.  To see the full list, [open a terminal window on your compute instance](how-to-access-terminal.md) and run <br/> `conda list -n azureml_py36 azureml*` |
+[Azure Machine Learning SDK for Python](https://aka.ms/sdk-v2-install)</br>from PyPI|Includes azure-ai-ml and many common azure extra packages.  To see the full list, [open a terminal window on your compute instance](how-to-access-terminal.md) and run <br/> `conda list -n azureml_py310_sdkv2 ^azure` |
 |Other PyPI packages|`jupytext`</br>`tensorboard`</br>`nbconvert`</br>`notebook`</br>`Pillow`|
 |Conda packages|`cython`</br>`numpy`</br>`ipykernel`</br>`scikit-learn`</br>`matplotlib`</br>`tqdm`</br>`joblib`</br>`nodejs`|
 |Deep learning packages|`PyTorch`</br>`TensorFlow`</br>`Keras`</br>`Horovod`</br>`MLFlow`</br>`pandas-ml`</br>`scrapbook`|
@@ -108,9 +108,9 @@ Follow the steps in the [Quickstart: Create workspace resources you need to get
 
 For more options, see [create a new compute instance](how-to-create-manage-compute-instance.md?tabs=azure-studio#create).
 
-As an administrator, you can **[create a compute instance for others in the workspace (preview)](how-to-create-manage-compute-instance.md#create-on-behalf-of-preview)**.
+As an administrator, you can **[create a compute instance for others in the workspace](how-to-create-manage-compute-instance.md#create-on-behalf-of)**.
 
-You can also **[use a setup script (preview)](how-to-customize-compute-instance.md)** for an automated way to customize and configure the compute instance.
+You can also **[use a setup script](how-to-customize-compute-instance.md)** for an automated way to customize and configure the compute instance.
 
 Other ways to create a compute instance:
 * Directly from the integrated notebooks experience.
@@ -131,13 +131,13 @@ A compute instance:
 
 * Has a job queue.
 * Runs jobs securely in a virtual network environment, without requiring enterprises to open up SSH port. The job executes in a containerized environment and packages your model dependencies in a Docker container.
-* Can run multiple small jobs in parallel (preview).  One job per core can run in parallel while the rest of the jobs are queued.
+* Can run multiple small jobs in parallel.  One job per core can run in parallel while the rest of the jobs are queued.
 * Supports single-node multi-GPU [distributed training](how-to-train-distributed-gpu.md) jobs
 
 You can use compute instance as a local inferencing deployment target for test/debug scenarios.
 
 > [!TIP]
-> The compute instance has 120GB OS disk. If you run out of disk space and get into an unusable state, please clear at least 5 GB disk space on OS disk (mounted on /) through the compute instance terminal by removing files/folders and then do `sudo reboot`. Temporary disk will be freed after restart; you do not need to clear space on temp disk manually. To access the terminal go to compute list page or compute instance details page and click on **Terminal** link. You can check available disk space by running `df -h` on the terminal. Clear at least 5 GB space before doing `sudo reboot`. Please do not stop or restart the compute instance through the Studio until 5 GB disk space has been cleared. Auto shutdowns, including scheduled start or stop as well as idle shutdowns(preview), will not work if the CI disk is full.
+> The compute instance has 120GB OS disk. If you run out of disk space and get into an unusable state, please clear at least 5 GB disk space on OS disk (mounted on /) through the compute instance terminal by removing files/folders and then do `sudo reboot`. Temporary disk will be freed after restart; you do not need to clear space on temp disk manually. To access the terminal go to compute list page or compute instance details page and click on **Terminal** link. You can check available disk space by running `df -h` on the terminal. Clear at least 5 GB space before doing `sudo reboot`. Please do not stop or restart the compute instance through the Studio until 5 GB disk space has been cleared. Auto shutdowns, including scheduled start or stop as well as idle shutdowns, will not work if the CI disk is full.
 
 ## Next steps
 
diff --git a/articles/machine-learning/concept-compute-target.md b/articles/machine-learning/concept-compute-target.md
@@ -67,7 +67,7 @@ When created, these compute resources are automatically part of your workspace,
 > [!NOTE]
 > To avoid charges when the compute is idle:
 > * For compute *cluster* make sure the minimum number of nodes is set to 0.
-> * For a compute *instance*, [enable idle shutdown](how-to-create-manage-compute-instance.md#enable-idle-shutdown-preview).
+> * For a compute *instance*, [enable idle shutdown](how-to-create-manage-compute-instance.md#enable-idle-shutdown).
 
 ### Supported VM series and sizes
 
diff --git a/articles/machine-learning/concept-plan-manage-cost.md b/articles/machine-learning/concept-plan-manage-cost.md
@@ -61,7 +61,7 @@ When you create resources for an Azure Machine Learning workspace, resources for
 * [Application Insights](https://azure.microsoft.com/pricing/details/monitor?WT.mc_id=costmanagementcontent_docsacmhorizontal_-inproduct-learn)
 
 When you create a [compute instance](concept-compute-instance.md), the VM stays on so it is available for your work.  
-* [Enable idle shutdown (preview)](how-to-create-manage-compute-instance.md#enable-idle-shutdown-preview) to save on cost when the VM has been idle for a specified time period.
+* [Enable idle shutdown (preview)](how-to-create-manage-compute-instance.md#enable-idle-shutdown) to save on cost when the VM has been idle for a specified time period.
 * Or [set up a schedule](how-to-create-manage-compute-instance.md#schedule-automatic-start-and-stop) to automatically start and stop the compute instance (preview) to save cost when you aren't planning to use it.
 
  
diff --git a/articles/machine-learning/how-to-access-terminal.md b/articles/machine-learning/how-to-access-terminal.md
@@ -43,7 +43,7 @@ To access the terminal:
 
 In addition to the steps above, you can also access the terminal from:
 
-* RStudio or Posit Workbench (formerly RStudio Workbench) (See [Add custom applications such as RStudio or Posit Workbench)](how-to-create-manage-compute-instance.md?tabs=python#add-custom-applications-such-as-rstudio-or-posit-workbench-preview)): Select the **Terminal** tab on top left.
+* RStudio or Posit Workbench (formerly RStudio Workbench) (See [Add custom applications such as RStudio or Posit Workbench)](how-to-create-manage-compute-instance.md?tabs=python#add-custom-applications-such-as-rstudio-or-posit-workbench)): Select the **Terminal** tab on top left.
 * Jupyter Lab:  Select the **Terminal** tile under the **Other** heading in the Launcher tab.
 * Jupyter:  Select **New>Terminal** on top right in the Files tab.
 * SSH to the machine, if you enabled SSH access when the compute instance was created.
@@ -69,7 +69,7 @@ To integrate Git with your Azure Machine Learning workspace, see  [Git integrati
 
 Or you can install packages directly in Jupyter Notebook, RStudio, or Posit Workbench (formerly RStudio Workbench):
 
-* RStudio or Posit Workbench(see [Add custom applications such as RStudio or Posit Workbench](how-to-create-manage-compute-instance.md#add-custom-applications-such-as-rstudio-or-posit-workbench-preview)): Use the **Packages** tab on the bottom right, or the **Console** tab on the top left.  
+* RStudio or Posit Workbench(see [Add custom applications such as RStudio or Posit Workbench](how-to-create-manage-compute-instance.md#add-custom-applications-such-as-rstudio-or-posit-workbench)): Use the **Packages** tab on the bottom right, or the **Console** tab on the top left.  
 * Python: Add install code and execute in a Jupyter Notebook cell.
 
 > [!NOTE]
diff --git a/articles/machine-learning/how-to-configure-environment.md b/articles/machine-learning/how-to-configure-environment.md
@@ -149,7 +149,7 @@ Create one anytime from within your Azure Machine Learning workspace. Provide ju
 To learn more about compute instances, including how to install packages, see [Create and manage an Azure Machine Learning compute instance](how-to-create-manage-compute-instance.md).
 
 > [!TIP]
-> To prevent incurring charges for an unused compute instance, [enable idle shutdown](how-to-create-manage-compute-instance.md#enable-idle-shutdown-preview).
+> To prevent incurring charges for an unused compute instance, [enable idle shutdown](how-to-create-manage-compute-instance.md#enable-idle-shutdown).
 
 In addition to a Jupyter Notebook server and JupyterLab, you can use compute instances in the [integrated notebook feature inside of Azure Machine Learning studio](how-to-run-jupyter-notebooks.md).
 
diff --git a/articles/machine-learning/how-to-create-manage-compute-instance.md b/articles/machine-learning/how-to-create-manage-compute-instance.md
@@ -25,17 +25,12 @@ Learn how to create and manage a [compute instance](concept-compute-instance.md)
 
 Use a compute instance as your fully configured and managed development environment in the cloud. For development and testing, you can also use the instance as a [training compute target](concept-compute-target.md#training-compute-targets).   A compute instance can run multiple jobs in parallel and has a job queue. As a development environment, a compute instance can't be shared with other users in your workspace.
 
-> [!IMPORTANT]
-> Items marked (preview) in this article are currently in public preview.
-> The preview version is provided without a service level agreement, and it's not recommended for production workloads. Certain features might not be supported or might have constrained capabilities.
-> For more information, see [Supplemental Terms of Use for Microsoft Azure Previews](https://azure.microsoft.com/support/legal/preview-supplemental-terms/).
-
 In this article, you learn how to:
 
 * [Create](#create) a compute instance
 * [Manage](#manage) (start, stop, restart, delete) a compute instance
 * [Create  a schedule](#schedule-automatic-start-and-stop) to automatically start and stop the compute instance
-* [Enable idle shutdown](#enable-idle-shutdown-preview)
+* [Enable idle shutdown](#enable-idle-shutdown)
 
 You can also [use a setup script](how-to-customize-compute-instance.md) to create the compute instance with your own custom environment.
 
@@ -114,12 +109,12 @@ Where the file *create-instance.yml* is:
 1. Select **Create** unless you want to configure advanced settings for the compute instance.
 1. <a name="advanced-settings"></a> Select **Next: Advanced Settings** if you want to:
 
-    * Enable idle shutdown (preview). Configure a compute instance to automatically shut down if it's inactive. For more information, see [enable idle shutdown](#enable-idle-shutdown-preview).
+    * Enable idle shutdown. Configure a compute instance to automatically shut down if it's inactive. For more information, see [enable idle shutdown](#enable-idle-shutdown).
     * Add schedule. Schedule times for the compute instance to automatically start and/or shut down. See [schedule details](#schedule-automatic-start-and-stop) below.
     * Enable SSH access.  Follow the [detailed SSH access instructions](#enable-ssh-access) below.
     * Enable virtual network. Specify the **Resource group**, **Virtual network**, and **Subnet** to create the compute instance inside an Azure Virtual Network (vnet). You can also select __No public IP__ to prevent the creation of a public IP address, which requires a private link workspace. You must also satisfy these [network requirements](./how-to-secure-training-vnet.md) for virtual network setup. 
-    * Assign the computer to another user. For more about assigning to other users, see [Create on behalf of](#create-on-behalf-of-preview)
-    * Provision with a setup script (preview) - for more information about how to create and use a setup script, see [Customize the compute instance with a script](how-to-customize-compute-instance.md).
+    * Assign the computer to another user. For more about assigning to other users, see [Create on behalf of](#create-on-behalf-of)
+    * Provision with a setup script - for more information about how to create and use a setup script, see [Customize the compute instance with a script](how-to-customize-compute-instance.md).
   
 You can also create a compute instance with an [Azure Resource Manager template](https://github.com/Azure/azure-quickstart-templates/tree/master/quickstarts/microsoft.machinelearningservices/machine-learning-compute-create-computeinstance).
 
@@ -136,12 +131,7 @@ SSH access is disabled by default.  SSH access can't be changed after creation.
 
 ---
 
-## Create on behalf of (preview)
-
-> [!IMPORTANT]
-> Items marked (preview) below are currently in public preview.
-> The preview version is provided without a service level agreement, and it's not recommended for production workloads. Certain features might not be supported or might have constrained capabilities.
-> For more information, see [Supplemental Terms of Use for Microsoft Azure Previews](https://azure.microsoft.com/support/legal/preview-supplemental-terms/).
+## Create on behalf of
 
 As an administrator, you can create a compute instance on behalf of a data scientist and assign the instance to them with:
 
@@ -166,12 +156,7 @@ The data scientist can start, stop, and restart the compute instance. They can u
 * Posit Workbench (formerly RStudio Workbench)
 * Integrated notebooks
 
-## Enable idle shutdown (preview)
-
-> [!IMPORTANT]
-> Items marked (preview) below are currently in public preview.
-> The preview version is provided without a service level agreement, and it's not recommended for production workloads. Certain features might not be supported or might have constrained capabilities.
-> For more information, see [Supplemental Terms of Use for Microsoft Azure Previews](https://azure.microsoft.com/support/legal/preview-supplemental-terms/).
+## Enable idle shutdown
 
 To avoid getting charged for a compute instance that is switched on but inactive, you can configure when to shut down your compute instance due to inactivity.
 
@@ -186,15 +171,7 @@ Activity on custom applications installed on the compute instance isn't consider
 
 Also, if a compute instance has already been idle for a certain amount of time, if idle shutdown settings are updated to  an amount of time shorter than the current idle duration, the idle time clock will be reset to 0. For example, if the compute instance has already been idle for 20 minutes, and the shutdown settings are updated to 15 minutes, the idle time clock will be reset to 0.
 
-Use **Manage preview features** to access this feature.
-
-1. In the workspace toolbar, select the **Manage preview features** image.
-1. Scroll down until you see **Configure auto-shutdown for idle compute instances**.
-1. Toggle the switch to enable the feature.
-
-:::image type="content" source="media/how-to-create-manage-compute-instance/enable-preview.png" alt-text="Screenshot: Enable auto-shutdown.":::
-
-Once enabled, the setting can be configured during compute instance creation or for existing compute instances via the following interfaces:
+The setting can be configured during compute instance creation or for existing compute instances via the following interfaces:
 
 # [Python SDK](#tab/python)
 
@@ -328,7 +305,7 @@ You can also create your own custom Azure policy. For example, if the below poli
 
 Define multiple schedules for auto-shutdown and auto-start. For instance, create a schedule to start at 9 AM and stop at 6 PM from Monday-Thursday, and a second schedule to start at 9 AM and stop at 4 PM for Friday.  You can create a total of four schedules per compute instance.
 
-Schedules can also be defined for [create on behalf of](#create-on-behalf-of-preview) compute instances. You can create a schedule that creates the compute instance in a stopped state. Stopped compute instances are useful when you create a compute instance on behalf of another user.
+Schedules can also be defined for [create on behalf of](#create-on-behalf-of) compute instances. You can create a schedule that creates the compute instance in a stopped state. Stopped compute instances are useful when you create a compute instance on behalf of another user.
 
 Prior to a scheduled shutdown, users will see a notification alerting them that the Compute Instance is about to shut down. At that point, the user can choose to dismiss the upcoming shutdown event, if for example they are in the middle of using their Compute Instance.
 
@@ -582,12 +559,7 @@ az login --identity --username $DEFAULT_IDENTITY_CLIENT_ID
 > [!NOTE]
 > You cannot use ```azcopy``` when trying to use managed identity. ```azcopy login --identity``` will not work.
 
-## Add custom applications such as RStudio or Posit Workbench (preview)
-
-> [!IMPORTANT]
-> Items marked (preview) below are currently in public preview.
-> The preview version is provided without a service level agreement, and it's not recommended for production workloads. Certain features might not be supported or might have constrained capabilities.
-> For more information, see [Supplemental Terms of Use for Microsoft Azure Previews](https://azure.microsoft.com/support/legal/preview-supplemental-terms/).
+## Add custom applications such as RStudio or Posit Workbench
 
 You can set up other applications, such as RStudio, or Posit Workbench (formerly RStudio Workbench), when creating a compute instance. Follow these steps in studio to set up a custom application on your compute instance
 
@@ -753,7 +725,7 @@ For each compute instance in a workspace that you created (or that was created f
 * SSH into compute instance. SSH access is disabled by default but can be enabled at compute instance creation time. SSH access is through public/private key mechanism. The tab will give you details for SSH connection such as IP address, username, and port number. In a virtual network deployment, disabling SSH prevents SSH access from public internet, you can still SSH from within virtual network using private IP address of compute instance node and port 22.
 * Select the compute name to:
     * View details about a specific compute instance such as IP address, and region.
-    * Create or modify the schedule for starting and stopping the compute instance (preview).  Scroll down to the bottom of the page to edit the schedule.
+    * Create or modify the schedule for starting and stopping the compute instance.  Scroll down to the bottom of the page to edit the schedule.
 
 ---
 
diff --git a/articles/machine-learning/how-to-manage-optimize-cost.md b/articles/machine-learning/how-to-manage-optimize-cost.md
diff --git a/articles/machine-learning/media/how-to-create-manage-compute-instance/custom-service-setup.png b/articles/machine-learning/media/how-to-create-manage-compute-instance/custom-service-setup.png
diff --git a/articles/machine-learning/v1/how-to-configure-environment-v1.md b/articles/machine-learning/v1/how-to-configure-environment-v1.md
