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<h1>Github azure devops</h1>
<p>[youtube]</p>
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<h1>Github azure devops</h1>
<p><strong>GitHub</strong> hosts over 100 million repositories containing applications of all shapes and sizes. But GitHub is just a start—those applications still need to get built, released, and managed to reach their full potential.</p>
<p>Azure Pipelines that enables you to continuously build, test, and deploy to any platform or cloud. It has cloud-hosted agents for Linux, macOS, and Windows; powerful workflows with native container support; and flexible deployments to Kubernetes, VMs, and serverless environments.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/overview.png" /></p>
<p>Azure Pipelines provides unlimited CI/CD minutes and 10 parallel jobs to every GitHub open source project for free. All open source projects run on the same infrastructure that our paying customers use. That means you’ll have the same fast performance and high quality of service. Many of the top open source projects are already using Azure Pipelines for CI/CD, such as Atom, CPython, Pipenv, Tox, Visual Studio Code, and TypeScript—and the list is growing every day.</p>
<p>In this lab, you’ll see how easy it is to set up <strong>Azure Pipelines</strong> with your <strong>GitHub</strong> projects and how you can achieve an end-to-end traceability from work items to code change, commit, to build and release.</p>
<h2>Prerequisites</h2>
<p>These items are required for this lab.</p>
<p>An Azure DevOps account from https://dev.azure.com</p>
<p>Visual Studio Code installed from https://code.visualstudio.com.
<h2>Setting up the environment</h2>
<ol>
On GitHub, navigate to the Microsoft/ContosoAir repository. </ol>
<p>If you’re not already signed in to GitHub, sign in now.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/github-signin.png" /></p>
<p>In the top-right corner of the page, click <strong>Fork</strong> to fork the repository to your own account.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/fork.png" /></p>
<p>Once the repo is forked, you need to clone the GitHub repo locally and open it in Visual Studio Code.</p>
<p>Copy the clone URL of your forked repository.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/clone-url.png" /></p>
<p>Start Visual Studio Code. Press Ctrl+Shift+P to bring the Command Palette and enter Git: Clone to clone the Git repository. You will be asked for the URL of the remote repository. Paste the URL you copied earlier. Choose the directory under which to put the local repository. Choose <strong>Open Repository</strong> when prompted.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/clonerepo-vscode.gif" /></p>
<h2>Lab Scenario:</h2>
<p>In this lab, we’ll be illustrating the integration and automation benefits of <strong>Azure DevOps</strong>. We will take on the role of helping a fictitious airline—Contoso Air—that has developed their flagship web site using Node.js. To improve their operations, they want to implement pipelines for continuous integration and continuous delivery so that they can quickly update their public services and take advantage of the full benefits of DevOps and the cloud.</p>
<p>The site will be hosted in Azure, and they want to automate the entire process so that they can spin up all the infrastructure needed to deploy and host the application without any manual intervention. Once this process is in place, it will free up their technology teams to focus more on generating business value.</p>
<h2>Exercise 1: Setting up automated CI/CD pipelines with Azure Pipelines</h2>
<p>In this exercise, we will help Contoso Air revamp a critical component of their DevOps scenario. Like all airlines, they rely on their web site to generate and manage business opportunities. However, the current processes they have in place to move a change from their source code to their production systems is time-consuming and open to human error. They use GitHub to manage their source code and want to host their production site on Azure, so it will be our job to automate everything in the middle.</p>
<p>This will involve setting up a pipeline so that commits to the GitHub repo invoke a continuous integration build in Azure DevOps. Once that build is complete, it will invoke a continuous delivery deployment to push the bits out to Azure, creating the required resources, if necessary. The first thing we need to do is to connect GitHub with Azure DevOps, which we can do via the <strong>Azure Pipelines</strong> extension in the GitHub Marketplace.</p>
<h2>Task 1: Installing Azure Pipelines from GitHub Marketplace</h2>
<p><strong>Azure Pipelines</strong> is available in GitHub Marketplace which makes it even easier for teams to configure a CI/CD pipeline for any application using your preferred language and framework as part of your GitHub workflow in just a few simple steps</p>
<p>Switch to the browser tab open to the root of your GitHub fork.</p>
<p>Navigate to the <strong>GitHub Marketplace</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/marketplace-github.png" /></p>
<p>Search for “<strong>pipelines</strong>” and click <strong>Azure Pipelines</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/azurepipelines-extension.png" /></p>
<p>Scroll to the bottom and click <strong>Install it for free</strong>. If you previously installed Azure Pipelines, select <strong>Configure access</strong> instead to skip steps 6-8.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/install-azurepipelines.png" /></p>
<p>If you have multiple <strong>GitHub</strong> accounts, select the one you forked the project to from the <strong>Switch billing account</strong> dropdown.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/switch-account.png" /></p>
<p>Click <strong>Complete order and begin installation</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/complete-order.png" /></p>
<p>Select the repositories you want to include (or <strong>All repositories</strong>) and click Install.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/install.png" /></p>
<h2>Task 2: Configuring a Continuous Integration Pipeline</h2>
<p>Now that Azure Pipelines has been installed and configured, we can start building the pipelines but we will need to select a project where the pipeline will be saved. You may select an existing or create a new Azure DevOps project to hold and run the pipelines we need for continuous integration and continuous delivery. The first thing we’ll do is to create a CI pipeline.</p>
<p>Select the organization and Azure DevOps project that you want to use. If you do not have one, you can create for free.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/setup-azurepipelines.png" /></p>
<p>Select the forked repo.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/select-forkedrepo.png" /></p>
<p>Every build pipeline is simply a set of tasks. Whether it’s copying files, compiling the source, or publishing artifacts, the existing library of tasks covers the vast majority of scenarios. You can even create your own if you have specialized needs not already covered. We’re going to use YAML, a markup syntax that lends itself well to describing the build pipeline. Note that the Node.js pipeline as a starting point based on an analysis of our source project. We’ll replace the contents with the final YAML required for our project.</p>
<p>Select <strong>Node.JS</strong> as the recommended template if prompted.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/nodejs-template.png" /></p>
<p>Replace the default template with the YAML below.</p>
<p>Click <strong>Save and run</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/saveandrun.png" /></p>
<p>Confirm the <strong>Save and run</strong> to commit the YAML definition directly to the master branch of the repo.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/saveandrun2.png" /></p>
<p>Follow the build through to completion.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/build1.png" /></p>
<h2>Task 3: Adding a build status badge</h2>
<p>An important sign for a quality project is its build status badge. When someone finds a project that has a badge indicating that the project is currently in a successful build state, it’s a sign that the project is maintained effectively.</p>
<p>Click the build pipeline to navigate to its overview page.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/buildpipeline.png" /></p>
<p>From the <strong>ellipses (…)</strong> dropdown, select <strong>Status badge</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/statusbadge1.png" /></p>
<p>The <strong>Status badge</strong> UI provides a quick and easy way to integrate the build status wherever you want. Often, you’ll want to use the provided URLs in your own dashboards, or you can use the Markdown snippet to add the status badge to locations such as Wiki pages. Click the <strong>Copy to clipboard</strong> button for <strong>Sample Markdown</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/statusbadge2.png" /></p>
<p>Return to Visual Studio Code and open the <strong>README.md</strong> file.</p>
<p>Paste in the clipboard contents at the beginning of the file. Press <strong>Ctrl+S</strong> to save the file.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/statusbadge3.png" /></p>
<p>From the <strong>Source Control</strong> tab, enter a commit message like <strong>Added build status badge</strong> and press <strong>Ctrl+Enter</strong> to commit. Confirm if prompted.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/statusbadge4.png" /></p>
<p>In Git, only changes need to be staged first to be included in the commit. If you are prompted to choose whether you want the VS Code automatically to stage all changes and commit them directly, choose <strong>Always</strong></p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/commit-message.png" /></p>
<p>If you receive an error prompting you to configure user .name and user.email in git, open a command prompt and enter the following command to set your user name and email address:</p>
<p>git config --global user.name "Your Name"</p>
<p>git config --global user.email "Your Email Address"</p>
<p>Press the <strong>Synchronize Changes</strong> button at the bottom of the window to push the commit to the server. Confirm if prompted.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/syncchanges.png" /></p>
<p>You will need to sign in to GitHub if you have not already signed in</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/signin-github.png" /></p>
<p>Go to the readme file on the browser and you will see the status.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/statusbadge-github.png" /></p>
<h2>Task 4: Embedding automated tests in the CI pipeline</h2>
<p>Now that we have our CI successfully built, it’s time to deploy but how do we know if the build is a good candidate for release? Most teams run automated tests, such as unit tests, as a part of their CI process to ensure that they are releasing a high-quality software. Teams capture key code metrics such as code coverage, code analysis, as they run the tests, to make sure that the code quality does not drop and the technical debt if not completely eliminated, is kept low.</p>
<p>We’re going to pull down the azure-pipelines.yml file that we created earlier and add tasks to run some tests and publish the test results.</p>
<p>Return to Visual Studio Code.</p>
<p>From the <strong>Explorer</strong> tab, open <strong>azure-pipelines.yml</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image42.png" /></p>
<p>Before we make our change, let’s take a quick look at the build tasks. There are four steps required for the build. First, deployment templates are copied to a target folder for use during the release process. Next, the project is built with NPM. After that, the built solution is archived and finally published for the release pipeline to access. With the Azure Pipelines extension for Visual Studio Code, you get a great YAML editing experience, including support for IntelliSense.</p>
<p>What we are missing is testing in the pipeline. We already have unit tests for our code. We just have to run them in the pipeline. We will add tasks to run the test and publish the results and code coverage.</p>
<p>Remove all the steps and replace it with the following code. Press <strong>Ctrl+S</strong> to save the file.</p>
<p>From the <strong>Source Control</strong> tab, enter a commit message like <strong>Updated build pipeline</strong> and press <strong>Ctrl+Enter</strong> to commit. Confirm if prompted.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image43.png" /></p>
<p>Press the <strong>Synchronize Changes</strong> button at the bottom of the window to push the commit to the server. Confirm if prompted.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image44.png" /></p>
<p>Back in Azure DevOps, navigate to <strong>Pipelines –> Pipelines</strong>. We can see that our build pipeline has kicked off a new build.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/updated-build.png" /></p>
<p>We can follow as it executes the tasks we defined earlier, and even get a real-time view into what’s going on at each step. When the build completes, we can review the logs and any tests that were performed as part of the process. Track the build tasks.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image47.png" /></p>
<p>Follow the build through to completion.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image48.png" /></p>
<p>Now that the build has completed, let’s check out the <strong>Tests</strong> tab to view the published tests results. We can get quantitative metrics such as total test count, test pass percentage, failed test cases, etc., from the <strong>Summary</strong> section</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image-tests1.png" /></p>
<p>The <strong>Results</strong> section lists all tests executed and reported as part of the current build or release. The default view shows only the failed and aborted tests in order to focus on tests that require attention. However, you can choose other outcomes using the filters provided</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image-tests2.png" /></p>
<p>Finally, you can use the details pane to view additional information, for the selected test case, that can help to troubleshoot such as the error message, stack trace, attachments, work items, historical trend, and more.</p>
<p>From the results, we can see all 40 tests have passed which means we have not broken any changes and this build is a good candidate for deployment.</p>
<h2>Task 5: Configuring a CD pipeline with Azure Pipelines</h2>
<p>Now that the build pipeline is complete and all tests have passed, we can turn our attention to creating a release pipeline.</p>
<p>Like the build templates, there are many packaged options available that cover common deployment scenarios, such as publishing to Azure. But to illustrate how flexible and productive the experience is, we will build this pipeline from an empty template.</p>
<p>From the left hand menu, under <strong>Pipelines</strong> click <strong>Releases</strong>. Click <strong>New Pipeline</strong> to create a new CD pipeline to deploy the artifacts produced by the build.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image13.png" /></p>
<p>Click <strong>Empty job</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image14.png" /></p>
<p>The first item to define in a release pipeline is exactly what will be released and when. In our case, it’s the output generated from the build pipeline. Note that we could also assign a schedule, such as if we wanted to release the latest build every night.</p>
<p>Select the associated artifact.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image15-1.png" /></p>
<p>Set <strong>Source</strong> to the build pipeline created earlier and <strong>Default version</strong> to <strong>Latest</strong>. Change the <strong>Source alias</strong>, if you want, to something like <strong>“_ContosoAir-CI”</strong> and click <strong>Add</strong>. Note that this is an identifier (typically a short name) that uniquely identifies an artifact linked to the release pipeline. It cannot contain the characters: \ / : * ? | or double quotes</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image16.png" /></p>
<p>As we did with continuous integration starting on a source commit, we also want to have this pipeline automatically start when the build pipeline completes. It’s just as easy.</p>
<p>Click the <strong>Triggers</strong> button on the artifact.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image17.png" /></p>
<p><strong>Enable</strong> continuous deployment, if it is not already enabled.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image18.png" /></p>
<blockquote><p>We also have the option of adding quality gates to the release process. For example, we could require that a specific user or group approve a release before it continues, or that they approve it after it’s been deployed. These gates provide notifications to the necessary groups, as well as polling support if you’re automating the gates using something dynamic, such as an Azure function, REST API, work item query, and more. We won’t add any of that here, but we could easily come back and do it later on.</p></blockquote>
<p>Click the <strong>pre-deployment conditions</strong> button.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image19.png" /></p>
<p>Review pre-deployment condition options.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image20.png" /></p>
<p>Select the <strong>Variables</strong> tab.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image21.png" /></p>
<p>In this pipeline, we’re going to need to specify the same resource group in multiple tasks, so it’s a good practice to use a pipeline variable. We’ll add one here for the new Azure resource group we want to provision our resources to.</p>
<p><strong>Add</strong> a <strong>resourcegroup</strong> variable that is not currently used by an existing resource group in your Azure account (<strong>“contosoair”</strong> will be used in this script).</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image22.png" /></p>
<p>Also, just like the build pipeline, the release pipeline is really just a set of tasks. There are many out-of-the-box tasks available, and you can build your own if needed. The first task our release requires is to set up the Azure deployment environment if it doesn’t yet exist. After we add the task, I can authorize access to the Azure account I want to deploy to and instruct it to use the variable name we just specified for the resource group name.</p>
<p>Select the <strong>Tasks</strong> tab. Click the <strong>Add task</strong> button.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image23.png" /></p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image24.png" /></p>
<p>Search for <strong>“arm”</strong> and <strong>Add</strong> an <strong>ARM template deployment</strong> task.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image25.png" /></p>
<p>Select the newly created task.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image26.png" /></p>
<p>Then, select the <strong>Task version</strong> to <strong>2.*</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image26-1.png" /></p>
<p>Select and authorize an Azure subscription.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image27.png" /></p>
<blockquote><p>Note: You will need to disable popup-blockers to sign in to Azure for authorization. If the pop-up window hangs, please close and try it again.</p></blockquote>
<p>Set the <strong>Resource group</strong> to <strong>”$(resourcegroup)”</strong> and select a <strong>Location</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image28.png" /></p>
<p>Rather than having to manually create the Azure resources required to host the web app, we defined an <strong>Azure Resource Manager</strong> or <strong>ARM</strong> template that describes the environment in JSON. This allows the environment definition to be updated and managed like any other source file. These were the files we copied to the Templates folder during the build pipeline. You can also override the template parameters as part of this configuration if required.</p>
<p>Enter the settings below. You can use the browse navigation to select them from the most recent build output.</p>
<p style="clear: both"> <img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image29.png" /><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image-release3.png" /></p>
<p>Template: <strong>$(System.DefaultWorkingDirectory)/_ContosoAir-CI/drop/Templates/azuredeploy.json</strong> <br />Template parameters: <strong>$(System.DefaultWorkingDirectory)/_ContosoAir-CI/drop/Templates/azuredeploy.parameters.json</strong></p>
<p>You will also need to set <strong>Override template parameters</strong> to generate an Azure app service name that is globally unique, so your name is recommended. For example, if your name is <strong>John Doe</strong>, use something like <strong>-p_environment johndoe</strong>. This will be used as part of the app service name in Azure, so please limit it to supported characters.</p>
<p>When this task completes, it will have generated an Azure resource group with the resources required to run our application. However, the ARM template does some processing of the variables to generate names for the resources based on the input variables, which we will want to use in future tasks. While we could potentially hardcode those variables, it could introduce problems if changes are made in the future, so we’ll use the ARM Outputs task to retrieve those values and put them into pipeline variables for us to use. This task happens to be a 3rd party task I installed earlier from the Visual Studio Marketplace. It contains this and many other extensions for Azure DevOps from both Microsoft and 3rd parties.</p>
<p>Click the <strong>Add task</strong> button.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image24.png" /></p>
<p>Search for <strong>“arm”</strong> and add <strong>ARM outputs</strong> task.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/armoutputs.png" /></p>
<p>The key variable we care about here is the name of the app service created, which our ARM template has specified as an output. This task will populate it for us to use as the “web” variable in the next task.</p>
<p>Select the newly created task. Select the same subscription from the previous task and enter the same resource group variable name.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/armoutputs2.png" /></p>
<p>Finally, we can deploy the app service. We’ll use the same subscription as earlier and specify the web variable as the name of the app service we want to deploy to. By this time in the pipeline, it will have been filled in for us by the ARM Outputs task. Also, note that we have the option to specify a slot to deploy to, but that is not covered in this demo.</p>
<p>Click the <strong>Add task</strong> button.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image24.png" /></p>
<p>Search for <strong>“app service”</strong> and <strong>Add</strong> an <strong>Azure App Service Deploy</strong> task.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image36.png" /></p>
<p>Select the newly created task.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image37.png" /></p>
<p>Select the same subscription as earlier.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image38.png" /></p>
<p>Enter the <strong>App Service name</strong> of <strong>”$(web)”</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image39.png" /></p>
<p><strong>Save</strong> the pipeline.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image40.png" /></p>
<p>Select <strong>+ Release</strong> and then select <strong>Create a Release</strong></p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image-release1.png" /></p>
<p>Select <strong>Create</strong> to start a new release.</p>
<p>Navigate to the release summary by clicking on the <strong>Release-1</strong> link that appears. Click <strong>In progress</strong> to follow the release process.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image51.png" /></p>
<p>Note that it will take a few minutes (around 5 at the time of drafting) for the app to finish deploying due to heavy first-time operations.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image52.png" /></p>
<p>Select the <strong>App Service Deploy</strong> task to view the detailed log. You should find the URL to the published website here. <strong>Ctrl+Click</strong> the link to open it in a separate tab.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image-release2.png" /></p>
<p>This will open the web page of the Contoso Air.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image-contoso.png" /></p>
<h2>Next: GitHub integration with Azure Boards</h2>
<p>In addition to Azure Pipelines, GitHub users can also benefit from Azure Boards, a set of features that enable you to plan, track, and discuss work across your teams using Kanban boards, backlogs, team dashboards, and custom reporting. You can link GitHub activities from Azure Boards by mentioning them in commits and pull requests, and even automate the state transition of linked work items when pull requests are approved.</p>
<h2>Github azure devops</h2>
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<h4>Github azure devops</h4>
Github azure devops GitHub hosts over 100 million repositories containing applications of all shapes and sizes. But GitHub is just a start—those applications still need to get built, released,
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<h1>Github azure devops</h1>
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<h1>Github azure devops</h1>
<p><strong>GitHub</strong> hosts over 100 million repositories containing applications of all shapes and sizes. But GitHub is just a start—those applications still need to get built, released, and managed to reach their full potential.</p>
<p>Azure Pipelines that enables you to continuously build, test, and deploy to any platform or cloud. It has cloud-hosted agents for Linux, macOS, and Windows; powerful workflows with native container support; and flexible deployments to Kubernetes, VMs, and serverless environments.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/overview.png" /></p>
<p>Azure Pipelines provides unlimited CI/CD minutes and 10 parallel jobs to every GitHub open source project for free. All open source projects run on the same infrastructure that our paying customers use. That means you’ll have the same fast performance and high quality of service. Many of the top open source projects are already using Azure Pipelines for CI/CD, such as Atom, CPython, Pipenv, Tox, Visual Studio Code, and TypeScript—and the list is growing every day.</p>
<p>In this lab, you’ll see how easy it is to set up <strong>Azure Pipelines</strong> with your <strong>GitHub</strong> projects and how you can achieve an end-to-end traceability from work items to code change, commit, to build and release.</p>
<h2>Prerequisites</h2>
<p>These items are required for this lab.</p>
<p>An Azure DevOps account from https://dev.azure.com</p>
<p>Visual Studio Code installed from https://code.visualstudio.com.
<h2>Setting up the environment</h2>
<ol>
On GitHub, navigate to the Microsoft/ContosoAir repository. </ol>
<p>If you’re not already signed in to GitHub, sign in now.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/github-signin.png" /></p>
<p>In the top-right corner of the page, click <strong>Fork</strong> to fork the repository to your own account.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/fork.png" /></p>
<p>Once the repo is forked, you need to clone the GitHub repo locally and open it in Visual Studio Code.</p>
<p>Copy the clone URL of your forked repository.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/clone-url.png" /></p>
<p>Start Visual Studio Code. Press Ctrl+Shift+P to bring the Command Palette and enter Git: Clone to clone the Git repository. You will be asked for the URL of the remote repository. Paste the URL you copied earlier. Choose the directory under which to put the local repository. Choose <strong>Open Repository</strong> when prompted.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/clonerepo-vscode.gif" /></p>
<h2>Lab Scenario:</h2>
<p>In this lab, we’ll be illustrating the integration and automation benefits of <strong>Azure DevOps</strong>. We will take on the role of helping a fictitious airline—Contoso Air—that has developed their flagship web site using Node.js. To improve their operations, they want to implement pipelines for continuous integration and continuous delivery so that they can quickly update their public services and take advantage of the full benefits of DevOps and the cloud.</p>
<p>The site will be hosted in Azure, and they want to automate the entire process so that they can spin up all the infrastructure needed to deploy and host the application without any manual intervention. Once this process is in place, it will free up their technology teams to focus more on generating business value.</p>
<h2>Exercise 1: Setting up automated CI/CD pipelines with Azure Pipelines</h2>
<p>In this exercise, we will help Contoso Air revamp a critical component of their DevOps scenario. Like all airlines, they rely on their web site to generate and manage business opportunities. However, the current processes they have in place to move a change from their source code to their production systems is time-consuming and open to human error. They use GitHub to manage their source code and want to host their production site on Azure, so it will be our job to automate everything in the middle.</p>
<p>This will involve setting up a pipeline so that commits to the GitHub repo invoke a continuous integration build in Azure DevOps. Once that build is complete, it will invoke a continuous delivery deployment to push the bits out to Azure, creating the required resources, if necessary. The first thing we need to do is to connect GitHub with Azure DevOps, which we can do via the <strong>Azure Pipelines</strong> extension in the GitHub Marketplace.</p>
<h2>Task 1: Installing Azure Pipelines from GitHub Marketplace</h2>
<p><strong>Azure Pipelines</strong> is available in GitHub Marketplace which makes it even easier for teams to configure a CI/CD pipeline for any application using your preferred language and framework as part of your GitHub workflow in just a few simple steps</p>
<p>Switch to the browser tab open to the root of your GitHub fork.</p>
<p>Navigate to the <strong>GitHub Marketplace</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/marketplace-github.png" /></p>
<p>Search for “<strong>pipelines</strong>” and click <strong>Azure Pipelines</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/azurepipelines-extension.png" /></p>
<p>Scroll to the bottom and click <strong>Install it for free</strong>. If you previously installed Azure Pipelines, select <strong>Configure access</strong> instead to skip steps 6-8.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/install-azurepipelines.png" /></p>
<p>If you have multiple <strong>GitHub</strong> accounts, select the one you forked the project to from the <strong>Switch billing account</strong> dropdown.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/switch-account.png" /></p>
<p>Click <strong>Complete order and begin installation</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/complete-order.png" /></p>
<p>Select the repositories you want to include (or <strong>All repositories</strong>) and click Install.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/install.png" /></p>
<h2>Task 2: Configuring a Continuous Integration Pipeline</h2>
<p>Now that Azure Pipelines has been installed and configured, we can start building the pipelines but we will need to select a project where the pipeline will be saved. You may select an existing or create a new Azure DevOps project to hold and run the pipelines we need for continuous integration and continuous delivery. The first thing we’ll do is to create a CI pipeline.</p>
<p>Select the organization and Azure DevOps project that you want to use. If you do not have one, you can create for free.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/setup-azurepipelines.png" /></p>
<p>Select the forked repo.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/select-forkedrepo.png" /></p>
<p>Every build pipeline is simply a set of tasks. Whether it’s copying files, compiling the source, or publishing artifacts, the existing library of tasks covers the vast majority of scenarios. You can even create your own if you have specialized needs not already covered. We’re going to use YAML, a markup syntax that lends itself well to describing the build pipeline. Note that the Node.js pipeline as a starting point based on an analysis of our source project. We’ll replace the contents with the final YAML required for our project.</p>
<p>Select <strong>Node.JS</strong> as the recommended template if prompted.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/nodejs-template.png" /></p>
<p>Replace the default template with the YAML below.</p>
<p>Click <strong>Save and run</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/saveandrun.png" /></p>
<p>Confirm the <strong>Save and run</strong> to commit the YAML definition directly to the master branch of the repo.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/saveandrun2.png" /></p>
<p>Follow the build through to completion.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/build1.png" /></p>
<h2>Task 3: Adding a build status badge</h2>
<p>An important sign for a quality project is its build status badge. When someone finds a project that has a badge indicating that the project is currently in a successful build state, it’s a sign that the project is maintained effectively.</p>
<p>Click the build pipeline to navigate to its overview page.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/buildpipeline.png" /></p>
<p>From the <strong>ellipses (…)</strong> dropdown, select <strong>Status badge</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/statusbadge1.png" /></p>
<p>The <strong>Status badge</strong> UI provides a quick and easy way to integrate the build status wherever you want. Often, you’ll want to use the provided URLs in your own dashboards, or you can use the Markdown snippet to add the status badge to locations such as Wiki pages. Click the <strong>Copy to clipboard</strong> button for <strong>Sample Markdown</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/statusbadge2.png" /></p>
<p>Return to Visual Studio Code and open the <strong>README.md</strong> file.</p>
<p>Paste in the clipboard contents at the beginning of the file. Press <strong>Ctrl+S</strong> to save the file.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/statusbadge3.png" /></p>
<p>From the <strong>Source Control</strong> tab, enter a commit message like <strong>Added build status badge</strong> and press <strong>Ctrl+Enter</strong> to commit. Confirm if prompted.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/statusbadge4.png" /></p>
<p>In Git, only changes need to be staged first to be included in the commit. If you are prompted to choose whether you want the VS Code automatically to stage all changes and commit them directly, choose <strong>Always</strong></p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/commit-message.png" /></p>
<p>If you receive an error prompting you to configure user .name and user.email in git, open a command prompt and enter the following command to set your user name and email address:</p>
<p>git config --global user.name "Your Name"</p>
<p>git config --global user.email "Your Email Address"</p>
<p>Press the <strong>Synchronize Changes</strong> button at the bottom of the window to push the commit to the server. Confirm if prompted.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/syncchanges.png" /></p>
<p>You will need to sign in to GitHub if you have not already signed in</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/signin-github.png" /></p>
<p>Go to the readme file on the browser and you will see the status.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/statusbadge-github.png" /></p>
<h2>Task 4: Embedding automated tests in the CI pipeline</h2>
<p>Now that we have our CI successfully built, it’s time to deploy but how do we know if the build is a good candidate for release? Most teams run automated tests, such as unit tests, as a part of their CI process to ensure that they are releasing a high-quality software. Teams capture key code metrics such as code coverage, code analysis, as they run the tests, to make sure that the code quality does not drop and the technical debt if not completely eliminated, is kept low.</p>
<p>We’re going to pull down the azure-pipelines.yml file that we created earlier and add tasks to run some tests and publish the test results.</p>
<p>Return to Visual Studio Code.</p>
<p>From the <strong>Explorer</strong> tab, open <strong>azure-pipelines.yml</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image42.png" /></p>
<p>Before we make our change, let’s take a quick look at the build tasks. There are four steps required for the build. First, deployment templates are copied to a target folder for use during the release process. Next, the project is built with NPM. After that, the built solution is archived and finally published for the release pipeline to access. With the Azure Pipelines extension for Visual Studio Code, you get a great YAML editing experience, including support for IntelliSense.</p>
<p>What we are missing is testing in the pipeline. We already have unit tests for our code. We just have to run them in the pipeline. We will add tasks to run the test and publish the results and code coverage.</p>
<p>Remove all the steps and replace it with the following code. Press <strong>Ctrl+S</strong> to save the file.</p>
<p>From the <strong>Source Control</strong> tab, enter a commit message like <strong>Updated build pipeline</strong> and press <strong>Ctrl+Enter</strong> to commit. Confirm if prompted.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image43.png" /></p>
<p>Press the <strong>Synchronize Changes</strong> button at the bottom of the window to push the commit to the server. Confirm if prompted.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image44.png" /></p>
<p>Back in Azure DevOps, navigate to <strong>Pipelines –> Pipelines</strong>. We can see that our build pipeline has kicked off a new build.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/updated-build.png" /></p>
<p>We can follow as it executes the tasks we defined earlier, and even get a real-time view into what’s going on at each step. When the build completes, we can review the logs and any tests that were performed as part of the process. Track the build tasks.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image47.png" /></p>
<p>Follow the build through to completion.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image48.png" /></p>
<p>Now that the build has completed, let’s check out the <strong>Tests</strong> tab to view the published tests results. We can get quantitative metrics such as total test count, test pass percentage, failed test cases, etc., from the <strong>Summary</strong> section</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image-tests1.png" /></p>
<p>The <strong>Results</strong> section lists all tests executed and reported as part of the current build or release. The default view shows only the failed and aborted tests in order to focus on tests that require attention. However, you can choose other outcomes using the filters provided</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image-tests2.png" /></p>
<p>Finally, you can use the details pane to view additional information, for the selected test case, that can help to troubleshoot such as the error message, stack trace, attachments, work items, historical trend, and more.</p>
<p>From the results, we can see all 40 tests have passed which means we have not broken any changes and this build is a good candidate for deployment.</p>
<h2>Task 5: Configuring a CD pipeline with Azure Pipelines</h2>
<p>Now that the build pipeline is complete and all tests have passed, we can turn our attention to creating a release pipeline.</p>
<p>Like the build templates, there are many packaged options available that cover common deployment scenarios, such as publishing to Azure. But to illustrate how flexible and productive the experience is, we will build this pipeline from an empty template.</p>
<p>From the left hand menu, under <strong>Pipelines</strong> click <strong>Releases</strong>. Click <strong>New Pipeline</strong> to create a new CD pipeline to deploy the artifacts produced by the build.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image13.png" /></p>
<p>Click <strong>Empty job</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image14.png" /></p>
<p>The first item to define in a release pipeline is exactly what will be released and when. In our case, it’s the output generated from the build pipeline. Note that we could also assign a schedule, such as if we wanted to release the latest build every night.</p>
<p>Select the associated artifact.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image15-1.png" /></p>
<p>Set <strong>Source</strong> to the build pipeline created earlier and <strong>Default version</strong> to <strong>Latest</strong>. Change the <strong>Source alias</strong>, if you want, to something like <strong>“_ContosoAir-CI”</strong> and click <strong>Add</strong>. Note that this is an identifier (typically a short name) that uniquely identifies an artifact linked to the release pipeline. It cannot contain the characters: \ / : * ? | or double quotes</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image16.png" /></p>
<p>As we did with continuous integration starting on a source commit, we also want to have this pipeline automatically start when the build pipeline completes. It’s just as easy.</p>
<p>Click the <strong>Triggers</strong> button on the artifact.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image17.png" /></p>
<p><strong>Enable</strong> continuous deployment, if it is not already enabled.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image18.png" /></p>
<blockquote><p>We also have the option of adding quality gates to the release process. For example, we could require that a specific user or group approve a release before it continues, or that they approve it after it’s been deployed. These gates provide notifications to the necessary groups, as well as polling support if you’re automating the gates using something dynamic, such as an Azure function, REST API, work item query, and more. We won’t add any of that here, but we could easily come back and do it later on.</p></blockquote>
<p>Click the <strong>pre-deployment conditions</strong> button.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image19.png" /></p>
<p>Review pre-deployment condition options.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image20.png" /></p>
<p>Select the <strong>Variables</strong> tab.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image21.png" /></p>
<p>In this pipeline, we’re going to need to specify the same resource group in multiple tasks, so it’s a good practice to use a pipeline variable. We’ll add one here for the new Azure resource group we want to provision our resources to.</p>
<p><strong>Add</strong> a <strong>resourcegroup</strong> variable that is not currently used by an existing resource group in your Azure account (<strong>“contosoair”</strong> will be used in this script).</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image22.png" /></p>
<p>Also, just like the build pipeline, the release pipeline is really just a set of tasks. There are many out-of-the-box tasks available, and you can build your own if needed. The first task our release requires is to set up the Azure deployment environment if it doesn’t yet exist. After we add the task, I can authorize access to the Azure account I want to deploy to and instruct it to use the variable name we just specified for the resource group name.</p>
<p>Select the <strong>Tasks</strong> tab. Click the <strong>Add task</strong> button.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image23.png" /></p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image24.png" /></p>
<p>Search for <strong>“arm”</strong> and <strong>Add</strong> an <strong>ARM template deployment</strong> task.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image25.png" /></p>
<p>Select the newly created task.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image26.png" /></p>
<p>Then, select the <strong>Task version</strong> to <strong>2.*</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image26-1.png" /></p>
<p>Select and authorize an Azure subscription.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image27.png" /></p>
<blockquote><p>Note: You will need to disable popup-blockers to sign in to Azure for authorization. If the pop-up window hangs, please close and try it again.</p></blockquote>
<p>Set the <strong>Resource group</strong> to <strong>”$(resourcegroup)”</strong> and select a <strong>Location</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image28.png" /></p>
<p>Rather than having to manually create the Azure resources required to host the web app, we defined an <strong>Azure Resource Manager</strong> or <strong>ARM</strong> template that describes the environment in JSON. This allows the environment definition to be updated and managed like any other source file. These were the files we copied to the Templates folder during the build pipeline. You can also override the template parameters as part of this configuration if required.</p>
<p>Enter the settings below. You can use the browse navigation to select them from the most recent build output.</p>
<p style="clear: both"> <img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image29.png" /><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image-release3.png" /></p>
<p>Template: <strong>$(System.DefaultWorkingDirectory)/_ContosoAir-CI/drop/Templates/azuredeploy.json</strong> <br />Template parameters: <strong>$(System.DefaultWorkingDirectory)/_ContosoAir-CI/drop/Templates/azuredeploy.parameters.json</strong></p>
<p>You will also need to set <strong>Override template parameters</strong> to generate an Azure app service name that is globally unique, so your name is recommended. For example, if your name is <strong>John Doe</strong>, use something like <strong>-p_environment johndoe</strong>. This will be used as part of the app service name in Azure, so please limit it to supported characters.</p>
<p>When this task completes, it will have generated an Azure resource group with the resources required to run our application. However, the ARM template does some processing of the variables to generate names for the resources based on the input variables, which we will want to use in future tasks. While we could potentially hardcode those variables, it could introduce problems if changes are made in the future, so we’ll use the ARM Outputs task to retrieve those values and put them into pipeline variables for us to use. This task happens to be a 3rd party task I installed earlier from the Visual Studio Marketplace. It contains this and many other extensions for Azure DevOps from both Microsoft and 3rd parties.</p>
<p>Click the <strong>Add task</strong> button.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image24.png" /></p>
<p>Search for <strong>“arm”</strong> and add <strong>ARM outputs</strong> task.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/armoutputs.png" /></p>
<p>The key variable we care about here is the name of the app service created, which our ARM template has specified as an output. This task will populate it for us to use as the “web” variable in the next task.</p>
<p>Select the newly created task. Select the same subscription from the previous task and enter the same resource group variable name.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/armoutputs2.png" /></p>
<p>Finally, we can deploy the app service. We’ll use the same subscription as earlier and specify the web variable as the name of the app service we want to deploy to. By this time in the pipeline, it will have been filled in for us by the ARM Outputs task. Also, note that we have the option to specify a slot to deploy to, but that is not covered in this demo.</p>
<p>Click the <strong>Add task</strong> button.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image24.png" /></p>
<p>Search for <strong>“app service”</strong> and <strong>Add</strong> an <strong>Azure App Service Deploy</strong> task.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image36.png" /></p>
<p>Select the newly created task.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image37.png" /></p>
<p>Select the same subscription as earlier.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image38.png" /></p>
<p>Enter the <strong>App Service name</strong> of <strong>”$(web)”</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image39.png" /></p>
<p><strong>Save</strong> the pipeline.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image40.png" /></p>
<p>Select <strong>+ Release</strong> and then select <strong>Create a Release</strong></p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image-release1.png" /></p>
<p>Select <strong>Create</strong> to start a new release.</p>
<p>Navigate to the release summary by clicking on the <strong>Release-1</strong> link that appears. Click <strong>In progress</strong> to follow the release process.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image51.png" /></p>
<p>Note that it will take a few minutes (around 5 at the time of drafting) for the app to finish deploying due to heavy first-time operations.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image52.png" /></p>
<p>Select the <strong>App Service Deploy</strong> task to view the detailed log. You should find the URL to the published website here. <strong>Ctrl+Click</strong> the link to open it in a separate tab.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image-release2.png" /></p>
<p>This will open the web page of the Contoso Air.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/vstsextend/github-azurepipelines/images/image-contoso.png" /></p>
<h2>Next: GitHub integration with Azure Boards</h2>
<p>In addition to Azure Pipelines, GitHub users can also benefit from Azure Boards, a set of features that enable you to plan, track, and discuss work across your teams using Kanban boards, backlogs, team dashboards, and custom reporting. You can link GitHub activities from Azure Boards by mentioning them in commits and pull requests, and even automate the state transition of linked work items when pull requests are approved.</p>
<h2>Github azure devops</h2>
<h3>Github azure devops</h3>
<p>[youtube]</p>
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<h4>Github azure devops</h4>
Github azure devops GitHub hosts over 100 million repositories containing applications of all shapes and sizes. But GitHub is just a start—those applications still need to get built, released,
<h5>Github azure devops</h5>
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SOURCE: <h6>Github azure devops</h6> <a href="https://dev-ops.engineer/">Github azure devops</a> Github azure devops
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El Paso : implementing devops with microsoft azure - Эдуард
WilmingtonKn » 13 май 2021, 00:31
Eduard Kabrinskiy - Cherry pick azure devops - Рдуард Кабринский
<h1>Cherry pick azure devops</h1>
<p>[youtube]</p>
Cherry pick azure devops <a href="http://remmont.com">Current news stories</a> Cherry pick azure devops
<h1>Beginner’s Guide to Using the Classic Azure DevOps Build Process</h1>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/caroline-sosebee-full-size-cropped.jpg" /></p>
<p>Caroline Sosebee is a Software Engineer at ThreeWill. She comes to us with 20+ years of software development experience and a broad scope of general IT support skills.</p>
<h2>Introduction</h2>
<p>For one of our recent modernization projects, I had the opportunity to implement Continuous Integration (CI) using the Azure DevOps Build and Release process, so I thought I would share what I learned. This is <strong>part 1</strong> of a two-part series documenting first the Build Process and in a second part, the Release Process. Neither is meant as a comprehensive document but together is a good вЂgetting started’ guide for creating your own builds.</p>
<p>There are currently two different approaches in Azure DevOps for implementing continuous integration. I’m only going to touch on the Classic Editor version, which Microsoft refers to as вЂBuilds and Releases’. The other version is called вЂAzure Multi-stage Pipelines’ – which I believe is now out of preview mode – and uses YAML files for saving the build definitions, which I hope to learn more about in the future. Since my work on this project took me down the вЂclassic editor’ path, that is what I will be focusing on today. If you decide you want to play with the YAML version, there are a couple of cool tools available to help you start making the transition from classic to the new YAML way.</p>
<p>For our project, the purpose of the pipeline was to create a SharePoint .sppkg package file that can be deployed into multiple environments. If you are not working on a SharePoint O365 project, then your steps will be different but will have a similar outcome. The pipeline basically mimics what we do manually to create this package. The big gain is that it is created automatically each time source code is merged into the master branch. We no longer have to manually do each step, then place the .sppkg package where our QA person can find it.</p>
<h2>The Build Process</h2>
<p>The first thing you need is a project with an associated repository in Azure DevOps. If you currently do not have one, you can follow a guide like this provided by Microsoft to set something up. Once you have your repository added and some code to build, you are ready to go.</p>
<p>In this example, I’ll be working with a Git repository that is hosting a SharePoint O365 SPFx React project and uses Node.js, Gulp, npm and React.</p>
<h2>Let’s Get Started</h2>
<p>To get started, click on the Pipelines link found under the Pipelines link (huh?) and you will be shown a screen like the below. Note that I already have two builds here. The first is our official pipeline used for Dev, QA and Production builds, while the second is a build my co-worker added in order to do some of his own release testing. You can have as many pipelines for a project as you need or want, which can come in quite handy.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture1-5-245x96.png" /></p>
<p>Click the big blue вЂNew pipeline’ button found in the upper right-hand corner which will take you to a screen with lots of confusing looking options. Since I’m focusing on the classic editor, we will ignore the top portion and click on the small link at the bottom called вЂUse the classic editor’. The classic editor walks you through using a wizard-like process to guide you as you create your build.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture2-3-214x163.png" /></p>
<p>The first thing it wants to know is where your code is. It will default to the current project, current repository, and the master branch of said repository. If you have multiple repositories in your project, you can change to any of them and can select alternate branches for your build. In most cases, we will accept what is chosen for us already.</p>
<h2>Let’s Continue</h2>
<p>Click the Continue button and we are taken to a screen where we can select a template to get us started or we can build from scratch with an empty job. When starting out, I recommend selecting a template that is close to what you need as your jumping-off point. As you get more proficient with the tool, you can start building from scratch by starting with an empty job.</p>
<p>As you can see, there are many templates to choose from. We are using Node.js with Gulp, so I selected that template to get me started. After selecting your template, click on the Apply button.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture4-3-245x152.png" /></p>
<p>And now the real fun begins. Notice that the template has put in key tasks for us already.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture5-3-245x144.png" /></p>
<h2>Skeleton</h2>
<p>Now that we have the skeleton, let’s fill it out. If we were to do generate our own package file manually each time, these are the steps we would need to do:</p>
<p><ul>
<li>Open PowerShell (or your favorite other terminal) and change it to the correct project’s folder.</li>
<li>Make sure you are in the correct branch (usually master) and that your source code is current.</li>
<li>Now run the following in order: <ul>
<li>gulp clean</li>
<li>gulp build</li>
<li>gulp bundle –ship (–ship means to prepare it as a standalone app package that can run in production)</li>
<li>gulp package-solution –ship</li>
</ul>
</li>
<li>Then we copy the output created to source control or send it to the QA person.</li>
</ul>
</p>
<p>Not really a process I want to follow each time I push a batch of changes to master. Here is what the same steps look like when using the Pipelines process (taken from our current QA/Prod pipeline). Note that I have steps in place for creating both a QA/Prod app package as well as a Debug app package that can be used by devs. In the example you will follow here, I’ll only add the QA/Prod tasks for brevity. Feel free to add the dev steps on your own.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture6-3-396x565.png" /></p>
<h2>Pipeline Walkthrough</h2>
<p>Let’s walk through each section/step, starting with the Pipeline itself. Here you specify the name of the Pipeline and tell it which Agent pool and Agent to use. Fortunately, Microsoft provides us with a pool of agents, so we don’t have to build our own. Unless you just want to, of course. What Microsoft provides for us are virtual machine images that you can use to run your pipeline and there are many to choose from. I’ll admit to not learning enough about this when setting up my job and ended up just using the default agent, which for me was Ubuntu-16.04. Probably not the smartest thing to do, but … it has worked out so far. ??</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture7-2-245x109.png" /></p>
<p>For more information on Agents, both creating your own or using a Microsoft-hosted agent, give these links a look.</p>
<h2>Next Step</h2>
<p>The next step in the process is to specify the source location. This should already be populated for you but feel free to change to some other codebase. As you can see, it handles multiple types of repositories.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture8-3-225x163.png" /></p>
<p>We’re now ready to tackle the meat of the process, which is building out our agent job. If you started with the same template I did, you will see that several tasks are already added for us. We just need to configure these and add our other tasks, configuring and ordering them as we go.</p>
<p>Since our project is Node-based, the first thing we need to do is install have it installed on the agent. To do this, I clicked on вЂAgent job 1’ and clicked on the big вЂ+’ sign to the right. This brought up a long alphabetical list of tasks that we can use to cherry-pick the things we need. Scroll down this list until you see the вЂNode.js tool installer’ and add it to the agent job. Note that it was automatically added as the last task. Of course, it should be the first task, so simply drag and drop it from the bottom to the top. Tip: If you select a task in the agent job first, it will add the new one below the selected task instead of at the bottom.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture9-3-245x153.png" /></p>
<p>Our project requires Node 10.x so after adding the task, I changed the configuration to specify the specific version we need. I also changed the Display name to something more meaningful. Tip: Most tasks have an вЂinfo’ button that will give you more information on what exactly the task will be doing.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture10-2-245x161.png" /></p>
<h2>The Next Step</h2>
<p>The next task – npm install – task needs no further configuration by me as it already does what I need it to do, which is install npm. (Since this is a newly created VM with each run, it has to do the installs (node/npm/gulp) with each run in order to bundle our code correctly.)</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture11-2-245x113.png" /></p>
<p>The next steps all revolve around gulp. You will see that it adds one gulp task for us with some default values already set. You will need to tell it specifically what you need it to do using the вЂgulp Task(s)’ and вЂArguments’ fields. For our first task, we will specify that it run a вЂbuild’ with no arguments. Tip: It’s also a good idea to get into the habit of changing the Display name to be meaningful and descriptive. It really helps when revisiting the Pipeline later.</p>
<p>Also, note that the вЂJUnit Test Results’ section is sometimes set to run (Publish checkbox is checked). This section is used for sending any test results from the gulp task to Azure Pipelines. I haven’t delved into this or any unit testing yet, so within my processes, I have unchecked this. In the future, I hope to learn more about automated testing, but for now, I just keep it unchecked for each gulp task.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture12-1-229x163.png" /></p>
<h2>Adding Gulp Tasks</h2>
<p>We now add two more gulp tasks and configure them to match the steps we would typically do manually, specifically вЂbundle’ and вЂpackage-solution’. When creating an SPFx project and running gulp bundle, it by default creates a вЂdev’ build. We need to tell it to get it ready for QA/production though, so we will use the Arguments field for this by adding вЂвЂ“ship’ as an argument.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture13-1-245x144.png" /></p>
<p>And now the package step, which is almost identical to the bundle step.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture14-1-245x146.png" /></p>
<h2>Congrats!</h2>
<p>You just generated a production-ready .sppkg package. But … where is it? Right now, it is residing in the root of your repo on the agent, so we need to copy this elsewhere in order to ultimately publish it to an artifacts location.</p>
<p>Microsoft provides us with many predefined variables that we can use to help us with this process. To move our file to a location we can use later, we need to use two tasks. The first is the вЂCopy files’ task. Within this task, we need to tell it what we are copying and where we want it to go. For the file copy, we are going to use the Build.ArtifactsStagingDirectory variable and specify a вЂprod’ folder within this. I’m also specifying what exactly I want to copy. Since all I need for my SharePoint app is the .sppkg file, that is all we are going to copy.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture15-1-245x137.png" /></p>
<p>The template we selected includes an вЂArchive files’ task by default. This task will compress the copied files into a zip format of your choice. Since we are only dealing with one file, I removed this task from my pipeline.</p>
<h2>Final Task</h2>
<p>This leaves us with the final task needed to be able to access our file easily – the вЂPublish artifacts’ task. This task does not require any changes if you follow the model Microsoft recommends of using the staging directory variable and a вЂdrop’ folder. You will see below that it is already prepopulated with what we need by default.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture16-1-245x129.png" /></p>
<p>We are now ready to run our pipeline and create our package. One really cool thing is that once you save and queue the job, you can track its progress by drilling down into the job and watching the tasks as they run. Below is a snapshot of our actual production build. I’ve selected the Copy files task to show you how it expands the pre-defined variables for you as it incorporates them into the build. In this run, all the tasks were successful and our file ended up in the drop folder.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture17-245x135.png" /></p>
<p>So let’s go find it! From Pipelines/Pipelines on the left, select your specific pipeline and then the job that just completed and you should see the below screen. From here you can go find the file you just created. To do this, click on the вЂx published’ link found under the вЂRelated’ section which will take you to the вЂArtifacts’ list.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture18-245x112.png" /></p>
<h2>Finding the File</h2>
<p>Here you will find the вЂdrop’ folder and can drill down to anything that was published to it. For SharePoint .sppkg files, it is usually buried deep in a SharePoint folder. Remember that in the Copy file(s) task, we specified <strong>$(Build.ArtifactStagingDirectory)/prod</strong> as our target folder. The target folder is found just under the вЂdrop’ folder. Drill down until you get to the file(s) you need where you will then have the ability to download.</p>
<p>This is a snapshot of actual output from our pipeline. While in development, it’s nice to have a debug (dev) version and a prod version of the app package, so I added some extra steps in order to create and publish both, as you see here.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture19-245x145.png" /></p>
<h2>Conclusion</h2>
<p>And that is it! You now have a fairly robust automated build tied to your repository. I hope this has been helpful. Keep an eye out for my next blog post which will show you how to create a Release process tied to this build, that can be configured to run either automatically or manually, depending on your specific needs.</p>
<h2>Cherry pick azure devops</h2>
<h3>Cherry pick azure devops</h3>
<p>[youtube]</p>
Cherry pick azure devops <a href="http://remmont.com">New</a> Cherry pick azure devops
<h4>Cherry pick azure devops</h4>
During some recent modernization projects, Caroline was able to learn and develop a beginner's guide to using the classic Azure DevOps build process.
<h5>Cherry pick azure devops</h5>
Cherry pick azure devops <a href="http://remmont.com">Cherry pick azure devops</a> Cherry pick azure devops
SOURCE: <h6>Cherry pick azure devops</h6> <a href="https://dev-ops.engineer/">Cherry pick azure devops</a> Cherry pick azure devops
#tags#[replace: -,-Cherry pick azure devops] Cherry pick azure devops#tags#
Eduard Kabrinskiy
daily news
<h1>Cherry pick azure devops</h1>
<p>[youtube]</p>
Cherry pick azure devops <a href="http://remmont.com">Current news stories</a> Cherry pick azure devops
<h1>Beginner’s Guide to Using the Classic Azure DevOps Build Process</h1>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/caroline-sosebee-full-size-cropped.jpg" /></p>
<p>Caroline Sosebee is a Software Engineer at ThreeWill. She comes to us with 20+ years of software development experience and a broad scope of general IT support skills.</p>
<h2>Introduction</h2>
<p>For one of our recent modernization projects, I had the opportunity to implement Continuous Integration (CI) using the Azure DevOps Build and Release process, so I thought I would share what I learned. This is <strong>part 1</strong> of a two-part series documenting first the Build Process and in a second part, the Release Process. Neither is meant as a comprehensive document but together is a good вЂgetting started’ guide for creating your own builds.</p>
<p>There are currently two different approaches in Azure DevOps for implementing continuous integration. I’m only going to touch on the Classic Editor version, which Microsoft refers to as вЂBuilds and Releases’. The other version is called вЂAzure Multi-stage Pipelines’ – which I believe is now out of preview mode – and uses YAML files for saving the build definitions, which I hope to learn more about in the future. Since my work on this project took me down the вЂclassic editor’ path, that is what I will be focusing on today. If you decide you want to play with the YAML version, there are a couple of cool tools available to help you start making the transition from classic to the new YAML way.</p>
<p>For our project, the purpose of the pipeline was to create a SharePoint .sppkg package file that can be deployed into multiple environments. If you are not working on a SharePoint O365 project, then your steps will be different but will have a similar outcome. The pipeline basically mimics what we do manually to create this package. The big gain is that it is created automatically each time source code is merged into the master branch. We no longer have to manually do each step, then place the .sppkg package where our QA person can find it.</p>
<h2>The Build Process</h2>
<p>The first thing you need is a project with an associated repository in Azure DevOps. If you currently do not have one, you can follow a guide like this provided by Microsoft to set something up. Once you have your repository added and some code to build, you are ready to go.</p>
<p>In this example, I’ll be working with a Git repository that is hosting a SharePoint O365 SPFx React project and uses Node.js, Gulp, npm and React.</p>
<h2>Let’s Get Started</h2>
<p>To get started, click on the Pipelines link found under the Pipelines link (huh?) and you will be shown a screen like the below. Note that I already have two builds here. The first is our official pipeline used for Dev, QA and Production builds, while the second is a build my co-worker added in order to do some of his own release testing. You can have as many pipelines for a project as you need or want, which can come in quite handy.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture1-5-245x96.png" /></p>
<p>Click the big blue вЂNew pipeline’ button found in the upper right-hand corner which will take you to a screen with lots of confusing looking options. Since I’m focusing on the classic editor, we will ignore the top portion and click on the small link at the bottom called вЂUse the classic editor’. The classic editor walks you through using a wizard-like process to guide you as you create your build.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture2-3-214x163.png" /></p>
<p>The first thing it wants to know is where your code is. It will default to the current project, current repository, and the master branch of said repository. If you have multiple repositories in your project, you can change to any of them and can select alternate branches for your build. In most cases, we will accept what is chosen for us already.</p>
<h2>Let’s Continue</h2>
<p>Click the Continue button and we are taken to a screen where we can select a template to get us started or we can build from scratch with an empty job. When starting out, I recommend selecting a template that is close to what you need as your jumping-off point. As you get more proficient with the tool, you can start building from scratch by starting with an empty job.</p>
<p>As you can see, there are many templates to choose from. We are using Node.js with Gulp, so I selected that template to get me started. After selecting your template, click on the Apply button.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture4-3-245x152.png" /></p>
<p>And now the real fun begins. Notice that the template has put in key tasks for us already.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture5-3-245x144.png" /></p>
<h2>Skeleton</h2>
<p>Now that we have the skeleton, let’s fill it out. If we were to do generate our own package file manually each time, these are the steps we would need to do:</p>
<p><ul>
<li>Open PowerShell (or your favorite other terminal) and change it to the correct project’s folder.</li>
<li>Make sure you are in the correct branch (usually master) and that your source code is current.</li>
<li>Now run the following in order: <ul>
<li>gulp clean</li>
<li>gulp build</li>
<li>gulp bundle –ship (–ship means to prepare it as a standalone app package that can run in production)</li>
<li>gulp package-solution –ship</li>
</ul>
</li>
<li>Then we copy the output created to source control or send it to the QA person.</li>
</ul>
</p>
<p>Not really a process I want to follow each time I push a batch of changes to master. Here is what the same steps look like when using the Pipelines process (taken from our current QA/Prod pipeline). Note that I have steps in place for creating both a QA/Prod app package as well as a Debug app package that can be used by devs. In the example you will follow here, I’ll only add the QA/Prod tasks for brevity. Feel free to add the dev steps on your own.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture6-3-396x565.png" /></p>
<h2>Pipeline Walkthrough</h2>
<p>Let’s walk through each section/step, starting with the Pipeline itself. Here you specify the name of the Pipeline and tell it which Agent pool and Agent to use. Fortunately, Microsoft provides us with a pool of agents, so we don’t have to build our own. Unless you just want to, of course. What Microsoft provides for us are virtual machine images that you can use to run your pipeline and there are many to choose from. I’ll admit to not learning enough about this when setting up my job and ended up just using the default agent, which for me was Ubuntu-16.04. Probably not the smartest thing to do, but … it has worked out so far. ??</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture7-2-245x109.png" /></p>
<p>For more information on Agents, both creating your own or using a Microsoft-hosted agent, give these links a look.</p>
<h2>Next Step</h2>
<p>The next step in the process is to specify the source location. This should already be populated for you but feel free to change to some other codebase. As you can see, it handles multiple types of repositories.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture8-3-225x163.png" /></p>
<p>We’re now ready to tackle the meat of the process, which is building out our agent job. If you started with the same template I did, you will see that several tasks are already added for us. We just need to configure these and add our other tasks, configuring and ordering them as we go.</p>
<p>Since our project is Node-based, the first thing we need to do is install have it installed on the agent. To do this, I clicked on вЂAgent job 1’ and clicked on the big вЂ+’ sign to the right. This brought up a long alphabetical list of tasks that we can use to cherry-pick the things we need. Scroll down this list until you see the вЂNode.js tool installer’ and add it to the agent job. Note that it was automatically added as the last task. Of course, it should be the first task, so simply drag and drop it from the bottom to the top. Tip: If you select a task in the agent job first, it will add the new one below the selected task instead of at the bottom.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture9-3-245x153.png" /></p>
<p>Our project requires Node 10.x so after adding the task, I changed the configuration to specify the specific version we need. I also changed the Display name to something more meaningful. Tip: Most tasks have an вЂinfo’ button that will give you more information on what exactly the task will be doing.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture10-2-245x161.png" /></p>
<h2>The Next Step</h2>
<p>The next task – npm install – task needs no further configuration by me as it already does what I need it to do, which is install npm. (Since this is a newly created VM with each run, it has to do the installs (node/npm/gulp) with each run in order to bundle our code correctly.)</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture11-2-245x113.png" /></p>
<p>The next steps all revolve around gulp. You will see that it adds one gulp task for us with some default values already set. You will need to tell it specifically what you need it to do using the вЂgulp Task(s)’ and вЂArguments’ fields. For our first task, we will specify that it run a вЂbuild’ with no arguments. Tip: It’s also a good idea to get into the habit of changing the Display name to be meaningful and descriptive. It really helps when revisiting the Pipeline later.</p>
<p>Also, note that the вЂJUnit Test Results’ section is sometimes set to run (Publish checkbox is checked). This section is used for sending any test results from the gulp task to Azure Pipelines. I haven’t delved into this or any unit testing yet, so within my processes, I have unchecked this. In the future, I hope to learn more about automated testing, but for now, I just keep it unchecked for each gulp task.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture12-1-229x163.png" /></p>
<h2>Adding Gulp Tasks</h2>
<p>We now add two more gulp tasks and configure them to match the steps we would typically do manually, specifically вЂbundle’ and вЂpackage-solution’. When creating an SPFx project and running gulp bundle, it by default creates a вЂdev’ build. We need to tell it to get it ready for QA/production though, so we will use the Arguments field for this by adding вЂвЂ“ship’ as an argument.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture13-1-245x144.png" /></p>
<p>And now the package step, which is almost identical to the bundle step.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture14-1-245x146.png" /></p>
<h2>Congrats!</h2>
<p>You just generated a production-ready .sppkg package. But … where is it? Right now, it is residing in the root of your repo on the agent, so we need to copy this elsewhere in order to ultimately publish it to an artifacts location.</p>
<p>Microsoft provides us with many predefined variables that we can use to help us with this process. To move our file to a location we can use later, we need to use two tasks. The first is the вЂCopy files’ task. Within this task, we need to tell it what we are copying and where we want it to go. For the file copy, we are going to use the Build.ArtifactsStagingDirectory variable and specify a вЂprod’ folder within this. I’m also specifying what exactly I want to copy. Since all I need for my SharePoint app is the .sppkg file, that is all we are going to copy.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture15-1-245x137.png" /></p>
<p>The template we selected includes an вЂArchive files’ task by default. This task will compress the copied files into a zip format of your choice. Since we are only dealing with one file, I removed this task from my pipeline.</p>
<h2>Final Task</h2>
<p>This leaves us with the final task needed to be able to access our file easily – the вЂPublish artifacts’ task. This task does not require any changes if you follow the model Microsoft recommends of using the staging directory variable and a вЂdrop’ folder. You will see below that it is already prepopulated with what we need by default.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture16-1-245x129.png" /></p>
<p>We are now ready to run our pipeline and create our package. One really cool thing is that once you save and queue the job, you can track its progress by drilling down into the job and watching the tasks as they run. Below is a snapshot of our actual production build. I’ve selected the Copy files task to show you how it expands the pre-defined variables for you as it incorporates them into the build. In this run, all the tasks were successful and our file ended up in the drop folder.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture17-245x135.png" /></p>
<p>So let’s go find it! From Pipelines/Pipelines on the left, select your specific pipeline and then the job that just completed and you should see the below screen. From here you can go find the file you just created. To do this, click on the вЂx published’ link found under the вЂRelated’ section which will take you to the вЂArtifacts’ list.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture18-245x112.png" /></p>
<h2>Finding the File</h2>
<p>Here you will find the вЂdrop’ folder and can drill down to anything that was published to it. For SharePoint .sppkg files, it is usually buried deep in a SharePoint folder. Remember that in the Copy file(s) task, we specified <strong>$(Build.ArtifactStagingDirectory)/prod</strong> as our target folder. The target folder is found just under the вЂdrop’ folder. Drill down until you get to the file(s) you need where you will then have the ability to download.</p>
<p>This is a snapshot of actual output from our pipeline. While in development, it’s nice to have a debug (dev) version and a prod version of the app package, so I added some extra steps in order to create and publish both, as you see here.</p>
<p style="clear: both"><img src="https://threewill.com/wp-content/uploads/Picture19-245x145.png" /></p>
<h2>Conclusion</h2>
<p>And that is it! You now have a fairly robust automated build tied to your repository. I hope this has been helpful. Keep an eye out for my next blog post which will show you how to create a Release process tied to this build, that can be configured to run either automatically or manually, depending on your specific needs.</p>
<h2>Cherry pick azure devops</h2>
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During some recent modernization projects, Caroline was able to learn and develop a beginner's guide to using the classic Azure DevOps build process.
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