Merge pull request #222578 from sdgilley/sdg-update-ci

add idle shutdown for ci

Author: prmerger-automator[bot]

articles/machine-learning/concept-compute-instance.md

@@ -44,7 +44,7 @@ A compute instance is a fully managed cloud-based workstation optimized for your
 * The compute instance is also a secure training compute target similar to [compute clusters](how-to-create-attach-compute-cluster.md), but it is 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 also **[use a setup script (preview)](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.
+* 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)
 
 
 ## Tools and environments

articles/machine-learning/concept-compute-target.md

@@ -65,7 +65,9 @@ When created, these compute resources are automatically part of your workspace,
 
 
 > [!NOTE]
-> When a compute *cluster* is idle, it autoscales to 0 nodes, so you don't pay when it's not in use. A compute *instance* is always on and doesn't autoscale. You should [stop the compute instance](how-to-create-manage-compute-instance.md#manage) when you aren't using it to avoid extra cost.
+> 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).
 
 ### Supported VM series and sizes
 

articles/machine-learning/concept-plan-manage-cost.md

@@ -55,7 +55,10 @@ When you create resources for an Azure Machine Learning workspace, resources for
 * [Key Vault](https://azure.microsoft.com/pricing/details/key-vault?WT.mc_id=costmanagementcontent_docsacmhorizontal_-inproduct-learn)
 * [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.  [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.
+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.
+* 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.
+
 
 ### Costs might accrue before resource deletion
 

articles/machine-learning/how-to-configure-environment.md

@@ -146,7 +146,7 @@ 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, [stop the compute instance](how-to-create-manage-compute-instance.md#manage).
+> To prevent incurring charges for an unused compute instance, [enable idle shutdown](how-to-create-manage-compute-instance.md#enable-idle-shutdown-preview).
 
 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).
 

articles/machine-learning/how-to-create-manage-compute-instance.md

@@ -30,6 +30,7 @@ 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)
 
 You can also [use a setup script (preview)](how-to-customize-compute-instance.md) to create the compute instance with your own custom environment.
 

articles/machine-learning/how-to-manage-optimize-cost.md

@@ -83,7 +83,9 @@ Low-Priority VMs have a single quota separate from the dedicated quota value, wh
 
 ## Schedule compute instances
 
-When you create a [compute instance](concept-compute-instance.md), the VM stays on so it is available for your work.  [Set up a schedule](how-to-create-manage-compute-instance.md#schedule-automatic-start-and-stop) to automatically start and stop the compute instance to save cost when you aren't planning to use it.
+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.
+* 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.
 
 ## Use reserved instances
 

articles/machine-learning/v1/how-to-configure-environment-v1.md

@@ -147,7 +147,7 @@ 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, [stop the compute instance](../how-to-create-manage-compute-instance.md#manage).
+> To prevent incurring charges for an unused compute instance, [stop the compute instance](../how-to-create-manage-compute-instance.md#manage). Or [enable idle shutdown](../how-to-create-manage-compute-instance.md#enable-idle-shutdown-preview) for the compute instance.
 
 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).