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Azure devops deploy to iis - Kabrinskiy Eduard

<h1>Azure devops deploy to iis</h1>
<p>[youtube]</p>
Azure devops deploy to iis <a href="http://remmont.com">Latest news live</a> Azure devops deploy to iis
<h1>Setting up CI/CD pipeline to deploy a .net core application to an IIS Server through Azure Devops</h1>
<p>This article will showcase on how to deploy your .net core application to an iis server through a pipeline configured in azure devops.</p>
<h4>Overview</h4>
<p>Recently I got a project requirement to publish a .net core web application to an iis server in an azure virtual machine. The major scope of this project was to configure, build and release pipelines to deploy the web application without any manual interactions unless it was needed. Therefore, I thought of sharing the experience i got while doing this project from the scratch.</p>
<p><em>Note: How to configure the DNS would not be explained in this tutorial.</em></p>
<p>What you will learn</p>
<p><ul>
<li>Add the project source to azure devops source control via git.</li>
<li>Add Azure Virtual Machine.</li>
<li>Setup IIS Manager in azure vm ? windows server 2016</li>
<li>Setup build pipeline.</li>
<li>Setup deployment group.</li>
<li>Setup release pipeline.</li>
<li>Provision agents for deployment.</li>
</ul>
</p>
<p>Prerequisites to begin:</p>
<h4>Step 1: Creating a repository in azure devops</h4>
<p>Login to azure devops and create a project by selecting git as the source control. Then selecting the menu item repos, will show you the repository to be initialized. If you are using an existing project with repositories, then simply go to repos and add a new repository. Or else, if you are already having a git repository in somewhere else other than azure devops you can import it by selecting the import option. Once you have finished creating a new repository, you are able to clone the repository as preferred, using HTTPS/SSH. (SSH Recommended)</p>
<p style="clear: both"><img src="https://res.cloudinary.com/practicaldev/image/fetch/s--RCU0Bjzc--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://cdn-images-1.medium.com/max/880/1%2AYiI2fpeDxqtFx2RZj5H0Qw.png" /></p>
<p>Clone the repository into your local file folder by executing the following command.</p>
<p>Change directory to the cloned folder and create the .net core web application. If you are familiar with the dotnet commands it will be easy to use the following steps to create the application. Else you can open up visual studio and create the application. <br /></p>
<p>The project source will be added into the repository by now as mentioned in the figure below.</p>
<p style="clear: both"><img src="https://res.cloudinary.com/practicaldev/image/fetch/s--F2AdXLiK--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://cdn-images-1.medium.com/max/880/1%2A7R86DAUpwz6bQq5gWExYGw.png" /></p>
<h4>Step 2: Setup the build pipeline</h4>
<p>Now everything is ready to setup the build pipeline for this application. Two ways to setup the build pipeline. As shown in the above figure we can click on setup build, which will provide us most relevant build templates per the source and create the pipeline with YAML. Else we can go from the scratch by selecting pipelines ? new pipeline ? use the classic editor. Going forward, user will be asked to select the version control, project, repository and the branch to trigger the build. Providing the required data will take you to the editor to select a template.</p>
<p>Select the ASP.NET Core template and apply.</p>
<p style="clear: both"><img src="https://res.cloudinary.com/practicaldev/image/fetch/s--2zMWc3QF--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://cdn-images-1.medium.com/max/880/1%2A84nfirxi-kxhLq3XEJx_Og.png" /></p>
<p>This template will include 5 tasks to build the application.</p>
<p style="clear: both"><img src="https://res.cloudinary.com/practicaldev/image/fetch/s--X9brfvtK--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://cdn-images-1.medium.com/max/880/1%2AVxOVwW5hlSSbLuBxz6yvrw.png" /></p>
<p>You can give a preferred name to the build pipeline by editing the first highlighted area on the top. The task highlighted (Use sdk task) would not be included in this template. It is added manually by clicking on the + icon on the top to ensure that we are using the correct sdk version which the project is using. In a scenario where, application is using .net core version 3.1.100 we will have to change the version into 3.1.100. Otherwise the build will fail. Anyhow, in our scenario we are using 3.0.100</p>
<p>Other tasks can be left with the default values since this is a simple .net core web applications.</p>
<p style="clear: both"><img src="https://res.cloudinary.com/practicaldev/image/fetch/s--UAYVf0jz--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://cdn-images-1.medium.com/max/880/1%2A3L1OpnDImLlOb104YvkU0w.png" /></p>
<p>Navigate to the Triggers section and check the <em>Enable continuous integration checkbox.</em> This means that, when ever the master branch gets a commit by a developer, this build pipeline will trigger. Now we are ready to run our first build. Click on the Save & queue drop-down and select save and queue. This will prompt you asking for some parameters. Keep the default values for now and click on save and run.</p>
<p>By now you have triggered the build pipeline manually. You can observe the pipeline by clicking on the ongoing job. The logs of each tasks can be seen after clicking on the ongoing job as shown below.</p>
<p style="clear: both"><img src="https://res.cloudinary.com/practicaldev/image/fetch/s--1Ie70Bpm--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://cdn-images-1.medium.com/max/880/1%2AiyjFpK2ylqzLXpXctKr8OQ.png" /></p>
<p>We are done with the build pipeline now. Lets move on to step 3.</p>
<h4>Step 3: Creating a Azure Virtual machine</h4>
<p>Sign in to your azure account and login to the azure portal. Create a new resource group. In the search by search for, ?virtual machines?. If you don?t have an existing virtual machine please create a new by clicking on add or create virtual machine. Following figure will provide support in creating the vm.</p>
<p style="clear: both"><img src="https://res.cloudinary.com/practicaldev/image/fetch/s--a4GxTtEM--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://cdn-images-1.medium.com/max/880/1%2AjSTavzJ4knO7XMTa4ABGag.png" /></p>
<p>Note: I have selected a low disk size since this is a demo application. You are free to select per your requirement. Furthermore, I have used Remote Desktop Protocol(RDP) as the connection, which will provide a user friendly GUI to connect to the VM. Proceed creating the vm by clicking on review + create ? create. (Will take few minutes) Successful creation will provide the following.</p>
<p style="clear: both"><img src="https://res.cloudinary.com/practicaldev/image/fetch/s--wYgMpmHT--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://cdn-images-1.medium.com/max/880/1%2AE2wMemb9tMWp5mWfsc8xXw.png" /></p>
<p>Navigate to the Virtual machine resource ? overview. Here you will see the analytics of your vm for the selected duration.</p>
<p style="clear: both"><img src="https://res.cloudinary.com/practicaldev/image/fetch/s--ukBzwOTp--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://cdn-images-1.medium.com/max/880/1%2AawGnkNZyb2Gjh1-DdcUwvw.png" /></p>
<p>(IP address and port should exist. removed for security concerns in above img)</p>
<p>Click on connect and select RDP. Once you are navigated to the connect view, download the RDP file by selecting a public or private IP address as required. Open the downloaded RDP file and click on more choices to use a different account and enter the username and password you entered while creating the virtual machine. This is the local account approach. If the vm is belongs to a domain, enter the <domain/username>. PS: user must be in administrator group or must have remote access privileges.</p>
<p style="clear: both"><img src="https://res.cloudinary.com/practicaldev/image/fetch/s--jBC40XEs--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://cdn-images-1.medium.com/max/880/1%2AseTwBLu9M30ZFbBRBUl8Pg.png" /></p>
<p>Now the user is logged into the virtual machine.</p>
<h4>Step 4: Setup IIS in azure virtual machine</h4>
<p>After login into the vm follow the following steps.</p>
<p>search for server manager ? Add roles and features ? Next (Before you begin) ? Installation Type (Role based or feature based) ? Server selection (Select server from pool) ? Server Roles (Enable Web Server (IIS)) ? Features (Enable .Net Framework 3.5) ? Web server Roles ? Role Services (Enable IIS 6 Management compatibility)</p>
<p>Before installation please refer the following figure to ensure you have configured IIS properly. If everything is correct you are good to go.</p>
<p style="clear: both"><img src="https://res.cloudinary.com/practicaldev/image/fetch/s--EKrYb_sP--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://cdn-images-1.medium.com/max/880/1%2Agb1HUU72pSZ1HXQto2GFoQ.png" /></p>
<p>Will take some time to finish the installation. Till that you can install the,</p>
<p>.net core 3.0 hosting bundle. If IE does not allow to download the bundle turn off the enhanced security option as follows.</p>
<p style="clear: both"><img src="https://res.cloudinary.com/practicaldev/image/fetch/s--vPVc0Kfh--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://cdn-images-1.medium.com/max/880/1%2AFzxIFzQbuhz9cpTqfcyHsg.png" /></p>
<h4>Step 5: Setup release pipeline</h4>
<p>Back to azure devops. In order to deploy the web application to IIS we should create a deployment group and provision a service agent in our windows server 2016 in the virtual machine.</p>
<p>A deployment group represent the environment that the application will be deployed to. It is a set of target machines each having a service agent installed.</p>
<p>Navigate to pipelines ? deployment groups in azure devops. Click on +New to create a new deployment group.</p>
<p style="clear: both"><img src="https://res.cloudinary.com/practicaldev/image/fetch/s--ZpMQXYKY--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://cdn-images-1.medium.com/max/880/1%2A9cap1Dovq3aXTt0dyzJT9w.png" /></p>
<p>Creating a deployment group will automatically create a deployment pool for you. But deployment groups and pools can be shared among projects specifying the scope from tags. For this demo I will continue with the new deployment group and pool.</p>
<p>Now we need to install the service agent into the target machine. To install, the generated script must be executed in the server <strong>powershell as an admin</strong>. To authenticate the script we must attach the personal access token of the user to the script. Devops will create a token and handle that for you if you check the check box highlighted in the following image. If the token is attached, we are not prompted to enter the authentication type and the credentials. Else will have to provide the type and the credentials.</p>
<p style="clear: both"><img src="https://res.cloudinary.com/practicaldev/image/fetch/s--phOzbKsO--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://cdn-images-1.medium.com/max/880/1%2Aa7KWcr8N_1XSRfepzjMcuA.png" /></p>
<p><strong><em>Note: In azure devops server this option does not exist. Therefore, if you are willing to use the authentication type as PAT, you should create a PAT from devops and give manage and view access permissions.</em></strong></p>
<p>Go to virtual machine and open the windows powershell as an admin and execute the script copied to your clipboard. Will take few minutes to register the agent.</p>
<p style="clear: both"><img src="https://res.cloudinary.com/practicaldev/image/fetch/s--csuU_onF--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://cdn-images-1.medium.com/max/880/1%2AnRjtP-J-RIAadTXN_c_Vig.png" /></p>
<p>As mentioned in the above figure, while registering the agent it will prompt for several requirements.</p>
<p><ul>
<li>Enter replace ?y</li>
<li>Group tags ? y</li>
<li>Add tags ? dev, prod (to specify the scope the deployment group will be handling we using tags)</li>
<li>Add credentials we used while creating the vm as we are logged in to the vm through that account.</li>
</ul>
</p>
<p>Now check the deployment groups in azure devops. You will see the following. The agent is installed and the group is active.</p>
<p style="clear: both"><img src="https://res.cloudinary.com/practicaldev/image/fetch/s--ki1jMrHg--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://cdn-images-1.medium.com/max/880/1%2AGzCkOgYNtZmnN_VCJS8h7A.png" /></p>
<p>Step 5: Setup release pipeline</p>
<p>We are almost done now. Go to releases ? new release if no prior releases. Follow the below images. Will explain after the figures.</p>
<p style="clear: both"><img src="https://res.cloudinary.com/practicaldev/image/fetch/s--xu8arlPU--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://cdn-images-1.medium.com/max/880/1%2AoWARM60S28RinYXbMifPNg.png" /></p>
<p style="clear: both"><img src="https://res.cloudinary.com/practicaldev/image/fetch/s--MDHV5i25--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://cdn-images-1.medium.com/max/880/1%2A_5wIQQ6gvQL4s1XY5Ts2Mw.png" /></p>
<p>Select the add artifacts and add the build pipeline as the reference to this release. Make sure you select the correct build if you have several builds.</p>
<p style="clear: both"><img src="https://res.cloudinary.com/practicaldev/image/fetch/s--vrzFKLtD--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://cdn-images-1.medium.com/max/880/1%2AXeM5jlDaAumf3iav7871fQ.png" /></p>
<p>To enable continous deployment, follow the steps below</p>
<p style="clear: both"><img src="https://res.cloudinary.com/practicaldev/image/fetch/s--jisETa1U--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://cdn-images-1.medium.com/max/880/1%2AEOgMeOScUh7UykMztqijxA.png" /></p>
<p>Go to the tasks by selecting the link in the stage</p>
<p style="clear: both"><img src="https://res.cloudinary.com/practicaldev/image/fetch/s--qnXOWMHj--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://cdn-images-1.medium.com/max/880/1%2AoQO2xlefV7pNRhmjAcZdpw.png" /></p>
<p>Select IIS Deployment and add the correct deployment group we configured. If you need to strictly specify the scope of the deployment use the tags you added while registering the agent. And make sure the artifacts are taken from the correct build.</p>
<p>Moving onto next task.</p>
<p style="clear: both"><img src="https://res.cloudinary.com/practicaldev/image/fetch/s--6H0Z5g5B--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://cdn-images-1.medium.com/max/880/1%2ABsH6ECu4qgDes__1M37JqQ.png" /></p>
<p>Enable IIS check will be a good option to check if the iis is installed in the target machine or not. And action as create or update will check for the existing website with the same name and if exist it will update else will create new one. Make sure the path is correct. it should be the root folder of iis. If you need to customize the url bindings. unlink the parameteres from the Job itself and add as preferred. For now i am keeping the hostname undefined which is equal to the localhost of the iis server.</p>
<p><em>Will look into DNS configuration in a future article.</em></p>
<p style="clear: both"><img src="https://res.cloudinary.com/practicaldev/image/fetch/s--KuDHjIlO--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://cdn-images-1.medium.com/max/880/1%2A0_8FJ8LiSoIhgZujcm7xTg.png" /></p>
<p>Good to go keep the defaults in deploy task. Now save the configurations and create a release. Select the latest build version and create.</p>
<p style="clear: both"><img src="https://res.cloudinary.com/practicaldev/image/fetch/s--YpS9TzOQ--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://cdn-images-1.medium.com/max/880/1%2ADUyvoKxZKaH9_8FiiKAuuA.png" /></p>
<p>Navigate to the release displaying in top. click on the logs button to view the logs. Successful deployment will show the below figure.</p>
<p style="clear: both"><img src="https://res.cloudinary.com/practicaldev/image/fetch/s--hCKOTyrt--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://cdn-images-1.medium.com/max/880/1%2AkrpUy-pTtRjfJLvHr4vdYA.png" /></p>
<p>As the final step you can navigate to the iis server in azure vm by going to server manager ? iis ? select server and right click ? select iis manager and go to the site deployed and browse.</p>
<h2>Azure devops deploy to iis</h2>

<h3>Azure devops deploy to iis</h3>
<p>[youtube]</p>
Azure devops deploy to iis <a href="http://remmont.com">News report</a> Azure devops deploy to iis
<h4>Azure devops deploy to iis</h4>
This article will showcase on how to deploy your .net core application to an iis server through a pip... Tagged with azure, devops, dotnet, iis.
<h5>Azure devops deploy to iis</h5>
Azure devops deploy to iis <a href="http://remmont.com">Azure devops deploy to iis</a> Azure devops deploy to iis
SOURCE: <h6>Azure devops deploy to iis</h6> <a href="https://dev-ops.engineer/">Azure devops deploy to iis</a> Azure devops deploy to iis
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Добавлено (18.05.2021, 12:38)
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Vsts output variables - Eduard Kabrinskiy

<h1>Vsts output variables</h1>
<p>[youtube]</p>
Vsts output variables <a href="http://remmont.com">Breaking news today</a> Vsts output variables
<h1>4 Tips for ARM-Templates in CI & CD Pipelines on Azure DevOps</h1>
<p>Some days ago, I wrote an article about developing ARM-Templates. In this article, I want to focus on ARM-Templates in conjunction with a build and release pipeline. With the ?infrastructure as code? paradigm even administrators need to cope with their own pipelines and make them as save as possible when deploying resources.</p>
<p>Even more, it is essential that you are sure as much as possible, that your declarative code is working properly. So the following tips just give my experience (which could also be limited) on what to focus on. The reader is always inclined to have its own opinion. I can?t wait to get the arguments if somebody does not agree on certain points. ??</p>
<h2>1. DevOps Pipeline first, Complexity second!</h2>
<p style="clear: both"><img src="https://i1.wp.com/www.razorspoint.com/wp-content/uploads/2018/07/ReleasePiplineArm.png" /></p>
<p>First build your pipeline with a most basic starting point of an arm template that simply works. For Developer who develops any solution with CI / CD pipelines know that that already. But Operations still seem to be very new to this. The biggest problem you can have with automation is that you implement your automation too late. You could ask: ?What is the problem??. Easy, the problem is complexity. If you start early with your pipeline for ARM templates, you reduce sources of errors. This means you can identify the source of errors faster since there are less. When the pipeline is optimized in the beginning, you will have fewer problems later as well.<br />Imagine having an ARM template which consists of 10 resources. Have fun introducing a CD and CI pipeline to deploy to Azure that works. Especially when the deadline is 1-2 weeks away. You always want to be confident in any code you write. You won?t be if you set up your pipeline at the end of your project.</p>
<p>So, start your project setup with a working CI / CD pipeline!</p>
<h2>2. Use Multiple Stage Environments before Deployment to Production</h2>
<p>To make sure everything is in order and the actual deployment works, several stages are needed. This is common knowledge for DevOps, but what possibilities do you have regarding ARM templates? If you want to be 100% correct, you should have your own Azure Active Directory for each stage. Meaning that the resources are completely separated and free of any side effects.</p>
<p>But I also understand that not every company can or want to have several AAD just to separate stages. Then in my opinion resource groups are enough. You don?t need to use different subscriptions for that since they are more for billing and departmental chargebacks. In other words: governance.</p>
<p>Resource groups are fine as they are intended to group resources that have the same life cycle. Meaning, usually all resources that stay in context with each other and can be deleted at once if not needed.</p>
<p>So, in that case, you could have one subscription for that application. So you can exactly and easily see how much everything costs.</p>
<h2>3. Use the ARM Outputs Extension for VSTS</h2>
<p>This tip is short but very helpful. ARM template offers the possibility to return values that you create or that azure generates during resource creation.</p>
<p>This output can also be used with the standard possibilities in your pipeline. But you can make your life much easier. I just quote the description of the task, which says it all!</p>
<blockquote><p>?This extension enables you to use the ARM Deployment outputs in your VSTS environment. This step will use the last successful deployment within the selected resource group. If this deployent has outputs, all of them are copied to VSTS variables by the ARM Output key. This outputs can then be used by default VSTS ways: $(same-key-as-in-arm-template) Usually this task is ran directly after the ?Azure Resource Group Deployment? task.?</blockquote></p>
<p>And here you can get to the extension</p>
<h2>4. Generate temporary storage account for nested templates</h2>
<p><strong>Disclaimer:</strong> to fully understand this tip, I assume that you generally understood how nested templates work. If not, read the check the official documentation.</p>
<p>If you use nested templates, then this is probably mandatory. Probably? Yes! When you use nested templates you would submit the main template to azure. When Azure executes the template, then the portal looks for the URLs of the linked templates. Azure does expect them to be accessible within an endpoint on the internet and not in some local path. That means you either but them on a public location (e.g. GitHub) and link to those or you use for example storage accounts.</p>
<p>A storage account can be made secure with so-called SaS tokens (<strong>S</strong>hared <strong>a</strong>ccess <strong>S</strong>ignatures).</p>
<p>But if you just need this storage account temporarily then there is a small trick you can use. At the beginning of your deployment, you would deploy this storage account into Azure in a separate resource group with an ARM template that is separated from your main template. Then you would upload all needed files of the main template to Azure with the task ?Azure File Copy?. This would give you the two following output to access these uploaded files:</p>
<p style="clear: both"><img src="https://i2.wp.com/www.razorspoint.com/wp-content/uploads/2018/07/img_5b39d719256e7.png" /></p>
<p>The content of the file is basically first the absolute URL to the blob and the second would include the full URL parameters with all the tokens that you need. You just need to concatenate them and use these variables as input for your ?Azure Resource Group Deployment? task.</p>
<p style="clear: both"><img src="https://i1.wp.com/www.razorspoint.com/wp-content/uploads/2018/07/img_5b39d7dc5691f.png" /></p>
<p>after the deployment, you would just delete the resource group, where you deployed the azure account. Since you are recreating it every time and just upload the most recent version of your ARM template, you don?t need to have resources in Azure sitting around that you solely need at deployment time.</p>
<h2>Vsts output variables</h2>

<h3>Vsts output variables</h3>
<p>[youtube]</p>
Vsts output variables <a href="http://remmont.com">Current breaking news</a> Vsts output variables
<h4>Vsts output variables</h4>
4 Tips for ARM-Templates in CI & CD Pipelines on Azure DevOps Some days ago, I wrote an article about developing ARM-Templates. In this article, I want to focus on ARM-Templates in conjunction
<h5>Vsts output variables</h5>
Vsts output variables <a href="http://remmont.com">Vsts output variables</a> Vsts output variables
SOURCE: <h6>Vsts output variables</h6> <a href="https://dev-ops.engineer/">Vsts output variables</a> Vsts output variables
#tags#[replace: -,-Vsts output variables] Vsts output variables#tags#
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Добавлено (18.05.2021, 12:59)
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Schoolofdevops - Кабринский Эдуард

<h1>Schoolofdevops</h1>
<p>[youtube]</p>
Schoolofdevops <a href="http://remmont.com">What's the news</a> Schoolofdevops
<h1>How To Accelerate DevOps Cycles And Keep Customers First</h1>
<p style="clear: both"><img src="https://specials-images.forbesimg.com/imageserve/5f492fd1ddb201935c58e438/960x0.jpg" /></p>
<p><strong>Bottom Line:</strong> Putting DevOps first by simplifying workflow orchestration removes roadblocks that stand in the way of getting more apps and services developed and released to production.</p>
<p>Touchless transactions over mobile devices, digital-first shopping and service and the flexibility of customizing everything from new shoes to a new car on the phone exist thanks to DevOps teams creating new apps this year. There's an overwhelming demand for new apps that protect customers and combine analytics and AI-driven insights as every business wants to be more digitally-enabled.</p>
<p><strong>The High Price Of Workflow Roadblocks</strong> </p>
<p>A typical DevOps team in a $500M+ enterprise has over 200 concurrent projects in progress, with over 70% dedicated to safeguarding and improving customer experiences. Legacy systems that aren't integrated, lack workflow automation and security not being part of the SDLC are just three of the many roadblocks DevOps teams face in getting apps and services out and into production in a timely fashion. The following data points speak to how much these roadblocks are slowing down DevOps today:</p>
<p><ul>
<li><strong>DevOps teams pay a heavy price for lack of workflow orchestration, with delivery dates being the most impacted by lack of coordination.</strong> 67% of enterprise IT leaders say the lack of application workflow orchestration leads to services not being completed in time for the business. Over half, 55%, say the lack of orchestration takes valuable time away from strategic initiatives. These findings are from Forrester Consulting's recent study, <em>Face The Workflow Automation Gap Head On. Leaders Who Don't Face The Reality Of Their Automation Gaps Are Failing Their Enterprises</em>. In short, DevOps teams may be running as efficiently as possible, yet the lack of application workflow orchestration leads to missed deadlines and customer delivery dates.</li>
</ul>
</p>
<p style="clear: both"><img src="https://specials-images.forbesimg.com/imageserve/5f9b8f5f94c0ee318803e2e4/960x0.jpg" /></p>
<p><small>Forrester Consulting, Face The Workflow Automation Gap Head On</small></p>
<h3>The 5 Biggest Healthcare Trends In 2021 Everyone Should Be Ready For Today</h3>
<h3>Mortgages, Fraud Claims And ?Dumb Dolphins?: A Tangled Past Haunts Better.com CEO Vishal Garg</h3>
<h3>Software Dominates Deloitte?s 2020 Tech Fast 500 With 71% Of All Companies</h3>
<p><ul>
<li><strong>86% of enterprise IT leaders know their current approach to DevOps needs improving to stay responsive to customer needs and how fast-changing their markets have become.</strong> Forrester found that nearly all IT leaders in enterprises know they need to improve IT initiatives core to their business' ability to stay competitive, hold onto customers and grow. Simplifying workflows to remove roadblocks would directly contribute to each of the five priorities below:</li>
</ul>
</p>
<p style="clear: both"><img src="https://specials-images.forbesimg.com/imageserve/5f9b8ef92c5f4853b837668a/960x0.jpg" /></p>
<p><small>Forrester Consulting, Face The Workflow Automation Gap Head On</small></p>
<p><strong>Workflow Orchestration Pays Off In DevOps</strong> </p>
<p>It's proven that DevOps delivers value by accelerating development cycles and getting code done faster and with better quality. In the most recent Puppet 2019 State of DevOps Report, 83% of developers say they're releasing code faster and more often today than ever before, thanks to DevOps. Nearly 35% report that code is released twice as fast, while nearly 25% said it's now being released ten times faster. Other DevOps teams say they aren't sure how much faster they're releasing code, yet they all see improvements.</p>
<p>DevOps' evolution is core to the speed increases development teams are seeing. Integrating application workflow orchestration at Stage 0 sets DevOps teams to deliver greater scale, speed and responsiveness as the five stages of DevOps evolution from Puppet's latest DevOps survey show:</p>
<p style="clear: both"><img src="https://specials-images.forbesimg.com/imageserve/5f9b8eb821d485f9db55a278/960x0.jpg" /></p>
<p><small>Source: Puppet 2019 State of DevOps Report</small></p>
<p><em>Tampa General Hospital's Results</em> </p>
<p>During the virtual BMC Exchange event, a session highlighted how the DevOps team at Tampa General Hospital made the bold move of integrating workflow orchestration directly into the SDLC process to speed up application and services development to get to production. They chose BMC's Control-M application workflow orchestration solution. The DevOps team dealt with a backlog of applications and services designed to improve patient care navigation and collaboration across clinical departments and hospitals in the Tampa Bay region. The hospitals are not on the same network and often compete with each other. Control-M from BMC integrated disparate data from disparate systems across hospitals that had never collaborated before, reaching a new level of automated, orchestrated response to patient needs. Today, every hospital can provide executive leadership with more real-time access to the data they need to run the hospital to deliver care effectively in the middle of a pandemic.</p>
<p>The following are the results achieved so far:</p>
<p><ul>
<li>Patient care navigation and collaboration among clinical departments are improving because there is less time waiting for clinical data to be shared across the hospital's departments.</li>
<li>Executive leadership is getting the clinical data and reports they need a half-day sooner than before, giving them greater visibility and control over the hospital's operations.</li>
<li>Tampa General Hospital also uses Control-M for multiple critical dashboards that provide a near real-time view of test results, patient status, personal protective equipment (PPE) and ICU capacity. These dashboards also allow the hospital to forecast hospital resources and provide "what-if" analyses used to anticipate PPE impact.</li>
<li>By embedding application workflow orchestration into their DevOps toolchain, Tampa General Hospital can stay patient- and customer-focused while accelerating DevOps cycles. The hospital's DevOps team simplified the scale of data pipelines and can now manage workflows across hybrid and multi-cloud environments and simplify the automated business application delivery process. The following graphic is a conceptual diagram of how the hospital was able to accomplish this with Control-M:</li>
</ul>
</p>
<p style="clear: both"><img src="https://specials-images.forbesimg.com/imageserve/5f9b8e84c96a13b69637668a/960x0.jpg" /></p>
<p><strong>Conclusion</strong> </p>
<p>DevOps needs to have application workflow orchestration embedded at the SDLC level to see the benefits Tampa General Hospital, Hershey's and others are achieving today. Having spent much of my career in DevOps-related roles, I can see the immediate benefits of embedding application data workflows on overall project progress and streamlining data pipelines. The more thorough the embedded orchestration into DevOps, the greater the improvement in release cycle times. Comparing release cycles based on legacy development tools versus workflow orchestrations' contributions to DevOps can conservatively deliver a 3X improvement in application and service cycle times based on my experiences running product management for a major cloud services provider.</p>
<p style="clear: both"><img src="https://specials-images.forbesimg.com/imageserve/5f9b8e1f0df177712237668a/960x0.jpg" /></p>
<p>There is another significant payoff to embedding the orchestration instrumentation upfront in the SDLC. When an application or service is deployed into production, it already included the orchestration-as-code within the DevOps automation toolchain. It undergoes the same process as business logic code and infrastructure-as-code. DevOps teams have eliminated the manual conversion process and unplanned rework when the app or service is pushed to production in the process.</p>
<p>For any workflow orchestration to be successful in DevOps, it needs to deliver applications quicker to market, reduce costs, eliminate risks, have state-of-the-art integration including LDAP and eliminate manual, time-consuming tasks as much as possible. BMC's Control-M is delivering on all of these requirements based on results delivered.</p>
<h2>Schoolofdevops</h2>

<h3>Schoolofdevops</h3>
<p>[youtube]</p>
Schoolofdevops <a href="http://remmont.com">Online news</a> Schoolofdevops
<h4>Schoolofdevops</h4>
86% of enterprise IT leaders know their current approach to DevOps needs improving to stay responsive to customer needs.
<h5>Schoolofdevops</h5>
Schoolofdevops <a href="http://remmont.com">Schoolofdevops</a> Schoolofdevops
SOURCE: <h6>Schoolofdevops</h6> <a href="https://dev-ops.engineer/">Schoolofdevops</a> Schoolofdevops
#tags#[replace: -,-Schoolofdevops] Schoolofdevops#tags#
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Добавлено (18.05.2021, 17:35)
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Azure pipelines - Эдуард Кабринский

<h1>Azure pipelines</h1>
<p>[youtube]</p>
Azure pipelines <a href="http://remmont.com">Top stories today</a> Azure pipelines
<h1>Azure pipelines</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.</p>
<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.