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This article explains how to quickly create a Cloud Services container using Azure PowerShell cmdlets. Please follow the steps below:
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This article explains how to quickly create a Cloud Services container using Azure PowerShell cmdlets. Use the following steps:
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1. Install the Microsoft Azure PowerShell cmdlet from the [Azure PowerShell downloads](https://aka.ms/webpi-azps) page.
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2. Open the PowerShell command prompt.
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### Next steps
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* To manage the cloud service deployment, refer to the [Get-AzureService](/powershell/module/servicemanagement/azure/Get-AzureService), [Remove-AzureService](/powershell/module/servicemanagement/azure/Remove-AzureService), and [Set-AzureService](/powershell/module/servicemanagement/azure/set-azureservice) commands. You may also refer to [How to configure cloud services](cloud-services-how-to-configure-portal.md) for further information.
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* To manage the cloud service deployment, refer to the [Get-AzureService](/powershell/module/servicemanagement/azure/Get-AzureService), [Remove-AzureService](/powershell/module/servicemanagement/azure/Remove-AzureService), and [Set-AzureService](/powershell/module/servicemanagement/azure/set-azureservice) commands. For more information, see [How to configure cloud services](cloud-services-how-to-configure-portal.md).
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* To publish your cloud service project to Azure, refer to the **PublishCloudService.ps1** code sample from [archived cloud services repository](https://github.com/MicrosoftDocs/azure-cloud-services-files/tree/master/Scripts/cloud-services-continuous-delivery).
This guide shows you how to programmatically perform common service management tasks from Python. The **ServiceManagementService** class in the [Azure SDK for Python](https://github.com/Azure/azure-sdk-for-python) supports programmatic access to much of the service management-related functionality that is available in the [Azure portal]. You can use this functionality to create, update, and delete cloud services, deployments, data management services, and virtual machines. This functionality can be useful in building applications that need programmatic access to service management.
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## <aname="WhatIs"> </a>What is service management?
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The Azure Service Management API provides programmatic access to much of the service management functionality available through the [Azure portal]. You can use the Azure SDK for Python to manage your cloud services and storage accounts.
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The Azure classic deployment model provides programmatic access to much of the service management functionality available through the [Azure portal]. You can use the Azure SDK for Python to manage your cloud services and storage accounts.
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To use the Service Management API, you need to [create an Azure account](https://azure.microsoft.com/pricing/free-trial/).
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To use the classic deployment model, you need to [create an Azure account](https://azure.microsoft.com/pricing/free-trial/).
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## <aname="Concepts"> </a>Concepts
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The Azure SDK for Python wraps the [Service Management API][svc-mgmt-rest-api], which is a REST API. All API operations are performed over TLS and mutually authenticated by using X.509 v3 certificates. The management service can be accessed from within a service running in Azure. It also can be accessed directly over the Internet from any application that can send an HTTPS request and receive an HTTPS response.
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The Azure SDK for Python wraps the [classic deployment model][svc-mgmt-rest-api], which is a REST API. All API operations are performed over Transport Layer Security (TLS) and mutually authenticated by using X.509 v3 certificates. The management service can be accessed from within a service running in Azure. It also can be accessed directly over the Internet from any application that can send an HTTPS request and receive an HTTPS response.
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## <aname="Installation"> </a>Installation
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All the features described in this article are available in the `azure-servicemanagement-legacy` package, which you can install by using pip. For more information about installation (for example, if you're new to Python), see [Install Python and the Azure SDK](/azure/developer/python/sdk/azure-sdk-install).
## Create a virtual machine from a captured virtual machine image
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To capture a VM image, you first call the **capture\_vm\_image** method.
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To capture a virtual machine (VM) image, you first call the **capture\_vm\_image** method.
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```python
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from azure import*
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To learn more about how to capture a Windows virtual machine in the classic deployment model, see [Capture a Windows virtual machine](/previous-versions/azure/virtual-machines/windows/classic/capture-image-classic).
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## <aname="What's Next"> </a>Next steps
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Now that you've learned the basics of service management, you can access the [Complete API reference documentation for the Azure Python SDK](https://azure-sdk-for-python.readthedocs.org/) and perform complex tasks easily to manage your Python application.
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Now that you learned the basics of service management, you can access the [Complete API reference documentation for the Azure Python SDK](https://azure-sdk-for-python.readthedocs.org/) and perform complex tasks easily to manage your Python application.
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For more information, see the [Python Developer Center](https://azure.microsoft.com/develop/python/).
Azure provides three compute models for running applications: [Web Apps feature in Azure App Service][execution model-web sites], [Azure Virtual Machines][execution model-vms], and [Azure Cloud Services][execution model-cloud services]. All three models support Python. Cloud Services, which include web and worker roles, provide *Platform as a Service (PaaS)*. Within a cloud service, a web role provides a dedicated Internet Information Services (IIS) web server to host front end web applications, while a worker role can run asynchronous, long-running, or perpetual tasks independent of user interaction or input.
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Azure provides three compute models for running applications: [Web Apps feature in Azure App Service][execution model-web sites], [Azure Virtual Machines][execution model-vms], and [Azure Cloud Services][execution model-cloud services]. All three models support Python. Cloud Services, which include web and worker roles, provide *Platform as a Service (PaaS)*. Within a cloud service, a web role provides a dedicated Internet Information Services (IIS) web server to host front end web applications. A worker role can run asynchronous, long-running, or perpetual tasks independent of user interaction or input.
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For more information, see [What is a Cloud Service?].
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You can add web or worker roles to an existing cloud service at any time. You can choose to add existing projects in your solution, or create new ones.
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You can add web or worker roles to an existing cloud service at any time. You can choose to add existing projects in your solution, or create new ones.
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Your cloud service can contain roles implemented in different languages. For example, you can have a Python web role implemented using Django, with Python, or with C# worker roles. You can easily communicate between your roles using Service Bus queues or storage queues.
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Your cloud service can contain roles implemented in different languages. For example, you can have a Python web role implemented using Django, with Python, or with C# worker roles. You can easily communicate between your roles using Service Bus queues or storage queues.
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## Install Python on the cloud service
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> [!WARNING]
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> The setup scripts that are installed with Visual Studio (at the time this article was last updated) do not work. This section describes a workaround.
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The main problem with the setup scripts is that they do not install python. First, define two [startup tasks](cloud-services-startup-tasks.md) in the [ServiceDefinition.csdef](cloud-services-model-and-package.md#servicedefinitioncsdef) file. The first task (**PrepPython.ps1**) downloads and installs the Python runtime. The second task (**PipInstaller.ps1**) runs pip to install any dependencies you may have.
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The main problem with the setup scripts is that they don't install Python. First, define two [startup tasks](cloud-services-startup-tasks.md) in the [ServiceDefinition.csdef](cloud-services-model-and-package.md#servicedefinitioncsdef) file. The first task (**PrepPython.ps1**) downloads and installs the Python runtime. The second task (**PipInstaller.ps1**) runs pip to install any dependencies you may have.
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The following scripts were written targeting Python 3.8. If you want to use the version 2.x of python, set the **PYTHON2** variable file to **on** for the two startup tasks and the runtime task: `<Variable name="PYTHON2" value="<mark>on</mark>" />`.
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The **bin\LaunchWorker.ps1** was originally created to do a lot of prep work but it doesn't really work. Replace the contents in that file with the following script.
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The **bin\LaunchWorker.ps1** was originally created to do a lot of prep work, but it doesn't really work. Replace the contents in that file with the following script.
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This script calls the **worker.py** file from your Python project. If the **PYTHON2** environment variable is set to **on**, then Python 2.7 is used, otherwise Python 3.8 is used.
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```
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#### ps.cmd
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The Visual Studio templates should have created a **ps.cmd** file in the **./bin** folder. This shell script calls out the PowerShell wrapper scripts above and provides logging based on the name of the PowerShell wrapper called. If this file wasn't created, here is what should be in it.
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The Visual Studio templates probably created a **ps.cmd** file in the **./bin** folder. This shell script calls out the preceding PowerShell wrapper scripts and provides logging based on the name of the PowerShell wrapper called. If this file wasn't created, the following script would be in it:
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```cmd
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@echo off
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If you set your cloud service project as the startup project and press F5, the cloud service runs in the local Azure emulator.
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Although PTVS supports launching in the emulator, debugging (for example, breakpoints) does not work.
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Although PTVS supports launching in the emulator, debugging (for example, breakpoints) doesn't work.
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To debug your web and worker roles, you can set the role project as the startup project and debug that instead. You can also set multiple startup projects. Right-click the solution and then select **Set StartUp Projects**.
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To debug your web and worker roles, you can set the role project as the startup project and debug that instead. You can also set multiple startup projects. Right-click the solution and then select **Set StartUp Projects**.
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