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Learn how to use Azure Pipelines to continuously build and deploy Azure Resource Manager template projects.
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Azure DevOps provides developer services to support teams to plan work, collaborate on code development, and build and deploy applications. Developers can work in the cloud using Azure DevOps Services or on-premises using Azure DevOps Server.
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Azure DevOps provides an integrated set of features that you can access through your web browser or IDE client. Azure Pipeline is one of these features. Azure Pipelines is a fully featured continuous integration (CI) and continuous delivery (CD) service. It works with your preferred Git provider and can deploy to most major cloud services. Then you can automate the build, testing, and deployment of your code to Microsoft Azure, Google Cloud Platform, or Amazon Web Services.
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Azure DevOps provides developer services to support teams to plan work, collaborate on code development, and build and deploy applications. Developers can work in the cloud using Azure DevOps Services. Azure DevOps provides an integrated set of features that you can access through your web browser or IDE client. Azure Pipeline is one of these features. Azure Pipelines is a fully featured continuous integration (CI) and continuous delivery (CD) service. It works with your preferred Git provider and can deploy to most major cloud services. Then you can automate the build, testing, and deployment of your code to Microsoft Azure, Google Cloud Platform, or Amazon Web Services.
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This tutorial is designed for Azure Resource Manager template developers who are new Azure DevOps Services and Azure Pipelines. If you are already familiar with GitHub and DevOps, you can skip to [Create a pipeline](#create-a-pipeline).
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1. Sign in to [GitHub](https://github.com).
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2. Select your account image on the upper right corner, and then select **Your repositories**.
1. In **Repository name**, enter a repository name. For example, **AzureRmPipeline-repo**. Remember to replace any of **AzureRmPipeline** with your project name. You can select either **Public** or **private** for going through this tutorial. And then select **Create repository**.
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The **CreateAzureStorage** folder is the folder where the template is stored. The **pwd** command shows the folder path. The path is where you save the template to in the following procedure.
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1. Sign in to [Azure DevOps](https://dev.azure.com).
1. Select **Create project**. If you don't have any projects, the create project page is opened automatically.
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1. Enter the following values:
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## Create a pipeline
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Until now, you have completed the following tasks. If you skip the previous sections because you are famliar with GitHub and DevOps, you must complete the tasks before you continue.
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Until now, you have completed the following tasks. If you skip the previous sections because you are familiar with GitHub and DevOps, you must complete the tasks before you continue.
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- Create a GitHub repository, and save [this template](https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/101-storage-account-create/azuredeploy.json) to the **CreateAzureStorage** folder in the repository.
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- Create a DevOps project, and create an Azure Resource Manager service connection.
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To create a pipline with a step to deploy a template:
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To create a pipeline with a step to deploy a template:
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1. Select **Pipelines** from the left menu.
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1. Select **New pipeline**.
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1. From the **Connect** tab, select **GitHub**. If asked, enter your GitHub credentials, and then follow the instructions. If you see the following screen, select **Only select repositories**, and verify your repository is in the list before you select **Approve & Install**.
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1. From the **Select** tab, select your repository. The default name is **[YourAccountName]/[YourGitHubRepositoryName]**.
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1. From the **Configure** tab, select **Starter pipeline**. It shows the **azure-pipelines.yml** pipeline file with two script steps.
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1. Select **Save and run** again. A copy of the YAML file is saved into the connected repository. You can see the YAML file by browse to your repository.
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1. Verify that the pipeline is executed successfully.
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