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<h1>What is DevOps?</h1>
<blockquote><p>DevOps is the union of people, process, and products to enable continuous delivery of value to our end users. Donovan Brown</p></blockquote>
<p>The contraction of “Dev” and “Ops” refers to replacing siloed Development and Operations to create multidisciplinary teams that now work together with shared and efficient practices and tools. Essential DevOps practices include agile planning, continuous integration, continuous delivery, and monitoring of applications.</p>
<p style="clear: both"><img src="https://docs.microsoft.com/en-us/azure/devops/learn/_img/devops-cycle.png" /></p>
<h2>Getting to DevOps</h2>
<p>Be not afraid of DevOps. Some teams are born to DevOps; some achieve DevOps; others have DevOps thrust upon them. 3 What is DevOps? Why does DevOps matter? Why now? How do you achieve DevOps successfully? Those are the topics weРІР‚в„ўd like to look at.</p>
<h2>Understand your Cycle Time</h2>
<p>LetРІР‚в„ўs start with a basic assumption about software development. WeРІР‚в„ўll describe it with the OODA loop. 4 Originally designed to keep fighter pilots from being shot out of the sky, the OODA loop is a good way to think about staying ahead of your competitors. You start with observation of business, market, needs, current user behavior, and available telemetry data. Then you orient with the enumeration of options for what you can deliver, perhaps with experiments. Next you decide what to pursue, and you act by delivering working software to real users. All of this occurs in some cycle time.</p>
<p style="clear: both"><img src="https://docs.microsoft.com/en-us/azure/devops/learn/_img/devops-road.png" /></p>
<h2>Become Data-Informed</h2>
<p>Hopefully, you use data to inform what to do in your next cycle. Many experience reports tell us that roughly one-third of the deployments will have negative business results, roughly one third will have positive results, and one third will make no difference. Ideally, you would like to fail fast on those that donРІР‚в„ўt advance the business and double down on those that support the business. Sometimes this is called pivot or persevere.</p>
<h2>Strive for Validated Learning</h2>
<p>How quickly you can fail fast or double down is determined by how long that loop takes, or in lean terms, by your cycle time. Your cycle time determines how quickly you can gather feedback to determine what happens in the next loop. The feedback that you gather with each cycle should be real, actionable data. This is called validated learning.</p>
<p style="clear: both"><img src="https://docs.microsoft.com/en-us/azure/devops/learn/_img/devops-road-validated-learning.png" /></p>
<h2>Shorten Your Cycle Time</h2>
<p>When you adopt DevOps practices, you shorten your cycle time by working in smaller batches, using more automation, hardening your release pipeline, improving your telemetry, and deploying more frequently. 6</p>
<p style="clear: both"><img src="https://docs.microsoft.com/en-us/azure/devops/learn/_img/devops-road-shorten-cycle-time.png" /></p>
<h2>Optimize Validated Learning</h2>
<p>The more frequently you deploy, the more you can experiment, the more opportunity you have to pivot or persevere, and to gain validated learning each cycle. This acceleration in validated learning is the value of improvement. Think of it as the sum of improvements that you achieve and the failures that you avoid.</p>
<p style="clear: both"><img src="https://docs.microsoft.com/en-us/azure/devops/learn/_img/devops-road-optimize-learning.png" /></p>
<h2>How to Achieve DevOps</h2>
<p>Remember, the goal is to shorten cycle time. Start with the release pipeline. How long does it take you to deploy a change of one line of code or configuration? Ultimately, thatРІР‚в„ўs the brake on your velocity.</p>
<p>Continuous Integration drives the ongoing merging and testing of code, which leads to finding defects early. Other benefits include less time wasted on fighting merge issues and rapid feedback for development teams.</p>
<p style="clear: both"><img src="https://docs.microsoft.com/en-us/azure/devops/learn/_img/devops-build-success.png" /></p>
<p>Continuous Delivery of software solutions to production and testing environments helps organizations quickly fix bugs and respond to ever-changing business requirements.</p>
<p style="clear: both"><img src="https://docs.microsoft.com/en-us/azure/devops/learn/_img/devops-continuous-delivery.png" /></p>
<p>Version Control, Usually With Git, enables teams located anywhere in the world to communicate effectively during daily development activities as well as to integrate with software development tools for monitoring activities such as deployments.</p>
<p style="clear: both"><img src="https://docs.microsoft.com/en-us/azure/devops/learn/_img/devops-version-control.png" /></p>
<p>Agile planning and lean project management techniques are used to plan and isolate work into sprints, manage team capacity, and help teams quickly adapt to changing business needs. A DevOps Definition of Done is working software collecting telemetry against the intended business objectives.</p>
<p style="clear: both"><img src="https://docs.microsoft.com/en-us/azure/devops/learn/_img/devops-kanban.png" /></p>
<p>Monitoring and Logging of running applications including production environments for application health as well as customer usage, helps organizations form a hypothesis and quickly validate or disprove strategies. Rich data is captured and stored in various logging formats.</p>
<p style="clear: both"><img src="https://docs.microsoft.com/en-us/azure/devops/learn/_img/devops-monitor.png" /></p>
<p>Public and Hybrid Clouds have made the impossible easy. The cloud has removed traditional bottlenecks and helped commoditize infrastructure. Whether you use Infrastructure as a Service (IaaS) to lift and shift your existing apps, or Platform as a Service (PaaS) to gain unprecedented productivity, the cloud gives you a datacenter without limits.</p>
<p style="clear: both"><img src="https://docs.microsoft.com/en-us/azure/devops/learn/_img/devops-public-clouds.png" /></p>
<p>Infrastructure as Code (IaC) is a practice which enables the automation and validation of creation and teardown of environments to help with delivering secure and stable application hosting platforms.</p>
<p style="clear: both"><img src="https://docs.microsoft.com/en-us/azure/devops/learn/_img/devops-iac.png" /></p>
<p>Microservices architecture is leveraged to isolate business use cases into small reusable services that communicate via interface contracts. This architecture enables scalability and efficiency.</p>
<p style="clear: both"><img src="https://docs.microsoft.com/en-us/azure/devops/learn/_img/devops-microservices.png" /></p>
<p>Containers are the next evolution in virtualization. They are much more lightweight than virtual machines, allow much faster hydration, and can be easily configured from files.</p>
<p style="clear: both"><img src="https://docs.microsoft.com/en-us/azure/devops/learn/_img/devops-containers.png" /></p>
<h2>DevOps May Hurt at First</h2>
<p>If it hurts, do it more often. Just like going to the gym, adopting new practices is likely to hurt at first. The more often you exercise the new practices, the easier they will become. And just like training at the gym, where you exercise large muscles before small muscles, adopt practices that have the greatest impact first and cross-train to develop synergy.</p>
<p style="clear: both"><img src="https://docs.microsoft.com/en-us/azure/devops/learn/_img/devops-build-strength.png" /></p>
<h2>References</h2>
<p>1 (Gartner) “Gartner Says By 2016, DevOps Will Evolve From a Niche to a Mainstream Strategy Employed by 25 Percent of Global 2000 Organizations”, http://www.gartner.com/newsroom/id/2999017</p>
<p>2 Gene Kim, Jez Humble, Patrick Debois, & John Willis, The DevOps Handbook, 2016, p. xxi</p>
<p>3 Apologies to William Shakespeare, Twelfth Night</p>
<p>4 Boyd, John, R., The Essence of Winning and Losing, 28 June 1995 a five slide set by Boyd. See also Adrian Cockcroft, http://www.slideshare.net/adriancockcro ... p-31799721</p>
<p>6 Eric Ries, Lean Startup</p>
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<h1>Azure devops working directory</h1>
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<h1>How to Build a Docker Image in an Azure DevOps Pipeline</h1>
<p style="clear: both"><img src="https://www.clouddev.engineering/content/images/size/w100/2020/03/Headshot.png" /></p>
<h2>Michael Levan</h2>
<p>Read more posts by this author.</p>
<p style="clear: both"><img src="https://www.clouddev.engineering/content/images/size/w100/2020/03/Headshot.png" />
</ul></p>
<h4>Michael Levan</h4>
<p style="clear: both"><img src="https://www.clouddev.engineering/content/images/size/w2000/2020/03/frank-mckenna-tjX_sniNzgQ-unsplash.jpg" /></p>
<p>Deploying an application reliably and efficiently is one of the many reasons organizations start using containers. Although containers provide a way to deliver value to end-users quickly, you need a way to continuously deliver that value. Using Continuous Integration and Continuous Delivery/Deployment (CICD) in Azure DevOps will solve the need to ship quickly to end-users in an automated fashion.</p>
<p>In this blog post you will learn how to build a Docker image out of a Dockerfile running in a Continuous Integration (CI) pipeline. Once the Docker image is created, it will be added to Azure Container Registry (ACR) which is used to store Docker images.</p>
<h2>Prerequisites</h2>
<p>To follow along in this blog post, you will need the following:</p>
<p><ul>
<li>An Azure account which you can set up here.</li>
<li>An Azure DevOps organization which you can create by following this tutorial.</li>
<li>A beginner to intermediate level knowledge of Docker.</li>
<li>Azure Command-Line Interface (AZ CLI) installed which you can find here.</li>
<li>A text editor. Visual Studio Code (VS Code) will be used in this blog post which can be downloaded here.</li>
<li>An understanding of GitHub at a beginner/intermediate level and a free GitHub account which you can sign up for here.</li>
<li>.NET Core web app which you can clone here. Although using the code found in the GitHub repo isn't necessary, that's the code that will be used in this blog post.</li>
</ul>
</p>
<h2>Creating a Container Registry</h2>
<p>Before you can create a Docker image, the Docker image needs a place to reside. Azure provides a container registry called Azure Container Registry (ACR). ACR, much like other image registries, provide a location for a Docker image to be stored in. Once the Docker image is stored in ACR, it can be used to build a container in Azure or even outside of Azure. For example - you can use docker pull to clone the Docker image to a local host.</p>
<p>To create the container registry in Azure, run the following code which will create a basic-level registry inside of a resource group that you specify.</p>
<blockquote><p>The -g specifies a resource group that exists within the Azure DevOps portal and the -n specifies the name of the Azure Container Registry</p></blockquote>
<p>Next, you will need to log into the registry locally. Logging into the registry allows access from a localhost to ACR so you can manage the Docker images. To log into ACR locally, run the following command.</p>
<p>Once you are logged in locally to the Docker registry, you will need to initiate the admin credentials found in ACR. This is so the Azure DevOps has access to run Docker commands against ACR from the pipeline. To give admin access to ACR, run the following command.</p>
<p>As you can see from the screenshot below, after following the steps above, a container registry will be created. Please note that the container registry you create will have a different name than shown in the screenshot below.</p>
<p style="clear: both"> <img src="https://www.clouddev.engineering/content/images/2020/03/image-80.png" /></p>
<h2>Taking a Look at the Dockerfile</h2>
<p>Now that the image registry is created, it's time to write the code that will create the Docker image. The code to create the Docker image resides in a Dockerfile. A Dockerfile creates a Docker image based on the application specifications like ports, what files the application needs, and what the application needs to run. Below you will see the specifications for the .NET Core web application found in the GitHub repository listed in the <strong>prerequisites</strong> section.</p>
<p>Open up VS Code and access the GitHub repo. You will see a Dockerfile under the web directory.</p>
<p style="clear: both"> <img src="https://www.clouddev.engineering/content/images/2020/03/image-81.png" /></p>
<p>Open up the Dockerfile.</p>
<p>Let's talk about what the Dockerfile is doing.</p>
<p style="clear: both"><ul>
<li>Two images are pulling pulled. One is the .NET Core SDK and the second is the .NET Core runtime.</li>
<li>The working directory is being initiated as /appdir</li>
<li>Ports 80 and 443 are being exposed inside of the Docker image for web connectivity.</li>
<li>The .csproj and all other configuration files from the C# web application code are being copied into the Docker image</li>
</ul>
<img style="float: left; margin: 0 10px 5px 0;" src="https://www.clouddev.engineering/content/images/2020/03/image-85.png" /></p>
<blockquote><p>To find out more about the Dockerfile syntax, check out this breakdown.</p></blockquote>
<p>Once complete, do not close the VS Code window.</p>
<h2>Pushing the repository to GitHub</h2>
<p>In the previous section you took a look at the Dockerfile and all of its dependencies needed to create the Docker image for a C# web application. In the upcoming section <strong>Creating the Pipeline</strong>, you will be using GitHub as the source for the code base inside of the pipeline. To use Github as the source, you will need to push the code that you cloned in the <strong>prerequisites</strong> section to your GitHub account.</p>
<blockquote><p>Please note that this section will not go in-depth with Git and GitHub. Per the prerequisites section, this blog post assumes you have a beginner to intermediate level knowledge of Github and the commands. To learn more about if you don't have beginner to intermediate level knowledge, take a look at the GitHub tutorial found here.</p></blockquote>
<p>Log into GitHub and create a new repository called web2 in GitHub to store the code that you cloned from the <strong>prerequisites</strong> section.</p>
<p style="clear: both"> <img src="https://www.clouddev.engineering/content/images/2020/03/image-86.png" /></p>
<p>Clone the repository down to the localhost so you can copy/paste the C# web app into the newly created <em>web2</em> repository.</p>
<p style="clear: both"> <img src="https://www.clouddev.engineering/content/images/2020/03/image-87.png" /> <img src="https://www.clouddev.engineering/content/images/2020/03/image-88.png" /></p>
<p>Open up a new VS Code window and put the new VS Code window side-by-side with the Github repo that you cloned in the prerequisites section so you can open up the newly created repository next to it.</p>
<p style="clear: both"> <img src="https://www.clouddev.engineering/content/images/2020/03/image-89.png" /></p>
<p>Open the newly created repository that was just cloned in the new VS Code window so you can copy the web directory to the new web2 repository.</p>
<p style="clear: both"> <img src="https://www.clouddev.engineering/content/images/2020/03/image-90.png" /></p>
<p>Copy the web directory from the GitHub repo found in the <strong>prerequisites</strong> section and paste it into the new web2 repository.</p>
<p style="clear: both"> <img src="https://www.clouddev.engineering/content/images/2020/03/image-91.png" /></p>
<p>Open up a terminal and Git commit/push the web2 repository to GitHub so the code in the web2 repository can be accessed once you create the Azure DevOps pipeline.</p>
<p style="clear: both"> <img src="https://www.clouddev.engineering/content/images/2020/03/image-92.png" /> <img src="https://www.clouddev.engineering/content/images/2020/03/image-93.png" /></p>
<h2>Creating the Pipeline</h2>
<p>In the previous section you set up a new GitHub repository. The new GitHub repo will be used to contain the code from the GitHub repository in the prerequisites section. In the section <strong>Taking a Look at the Dockerfile</strong>, on lines 7, 8, and 12, the Dockerfile is copying C# code from the web directory. Without the code existing in the GitHub repository, the Dockerfile will have no code to copy to build the Docker image.</p>
<p>If you are asking yourself <em>Why don't I just link to Mike's GitHub repository</em>, it's because I want you to get a feel for how to do these steps with your own GitHub. That way as you move on and create more Docker images, the process will be comfortable for you.</p>
<h3>Initiating the Pipeline</h3>
<p>To start the process of the creating the pipeline to create a Docker image, you will need to initialize the pipeline by starting the prerequisites like linking a GitHub profile to the pipeline so the code is accessible.</p>
<p>Open up a web browser and log into Azure DevOps to start creating the pipeline. As you can see in the screenshot below, my organization name is adminturneddevops but the organization you see will be different.</p>
<p style="clear: both"> <img src="https://www.clouddev.engineering/content/images/2020/03/image-94.png" /></p>
<p>Choose a project for the pipeline you will be creating to reside in within the Azure DevOps organization.</p>
<p style="clear: both"> <img src="https://www.clouddev.engineering/content/images/2020/03/image-95.png" /></p>
<p>Once in the project, go to <strong>Pipelines</strong> and click <strong>Pipelines</strong> to start creating the new pipeline<em>.</em></p>
<blockquote><p>If you don't see this option, it's because you don't have multi-stage pipelines turned on in the preview features. To do this, go to User Settings --> Preview Features --> Turn on Multi-stage pipelines</p></blockquote>
<p style="clear: both"><img src="https://www.clouddev.engineering/content/images/2020/03/image-96.png" /></p>
<p>Click the blue <strong>New pipeline</strong> button to start the creation of a new pipeline.</p>
<p style="clear: both"> <img src="https://www.clouddev.engineering/content/images/2020/03/image-97.png" /></p>
<p>Choose the classic option by clicking the <strong>Use the classic editor</strong> button to not use YAML.</p>
<p style="clear: both"> <img src="https://www.clouddev.engineering/content/images/2020/03/image-98.png" /></p>
<p>As the code is in the web2 repository in GitHub, choose the GitHub option and search for the repository. After you find the web2 repository click the <strong>Continue</strong> button.</p>
<p style="clear: both"> <img src="https://www.clouddev.engineering/content/images/2020/03/image-99.png" /></p>
<p>Under the <strong>Select a template</strong> option, choose <strong>Empty job</strong> so you can start with no pre-made tasks and instead create the tasks from scratch.</p>
<p style="clear: both"> <img src="https://www.clouddev.engineering/content/images/2020/03/image-100.png" /></p>
<p>For the name, you can choose whatever you would like as a specific name isn't a requirement. This blog post will use <em>webappdeploy-ci</em> for the name as shown in the screenshot below.</p>
<p style="clear: both"> <img src="https://www.clouddev.engineering/content/images/2020/03/image-101.png" /></p>
<h3>Choosing Pipeline Tasks</h3>
<p>The pipeline is now initialized and is ready for task creation. The tasks that will be used are for copying the C# code, building an artifact out of the C# code, and building the Docker image.</p>
<p>Before choosing the tasks, you need to choose the proper build agent. The build agent is the Microsoft-hosted container used to run the pipeline.</p>
<p>Click on <strong>Pipeline</strong> as shown in the screenshot below.</p>
<p style="clear: both"> <img src="https://www.clouddev.engineering/content/images/2020/03/image-114.png" /></p>
<p>In the Pipeline option you will see an option to choose an Agent specification. Choose Ubuntu 18.04 as shown in the screenshot below. The reason why is because the Docker image you are deploying is based off of a Linux image. Because it is based off of a Linux image, a Linux operating system is needed to pull down the docker image for the .NET Core SDK and runtime.</p>
<p style="clear: both"> <img src="https://www.clouddev.engineering/content/images/2020/03/image-115.png" /></p>
<p>After the agent specification is chosen, click the blue <strong>+</strong> symbol inside of the agent job.</p>
<p style="clear: both"> <img src="https://www.clouddev.engineering/content/images/2020/03/image-102.png" /></p>
<p>In the <strong>Add tasks</strong> window, search for <em>copy files</em> and choose the first option. Click the blue <strong>Add</strong> button.</p>
<p style="clear: both"> <img src="https://www.clouddev.engineering/content/images/2020/03/image-104.png" /></p>
<p>For the next task, search for <em>publish build artifacts</em> and click the blue <strong>Add</strong> button.</p>
<p style="clear: both"> <img src="https://www.clouddev.engineering/content/images/2020/03/image-105.png" /></p>
<p>The last task to search for add and is the <em>Docker</em> task.</p>
<p style="clear: both"> <img src="https://www.clouddev.engineering/content/images/2020/03/image-106.png" /></p>
<p>After adding the tasks, the pipeline should look like the below screenshot.</p>
<p style="clear: both"> <img src="https://www.clouddev.engineering/content/images/2020/03/image-107.png" /></p>
<h3>Configuring the Tasks</h3>
<p>In the previous section you added the neccassary tasks to not only copy and publish the C# web app code, but to build a Docker image out of the code. Now it's time to configure the tasks.</p>
<p>Open up the first task <strong>Copy files</strong> and add the same settings that you see in the screenshot below. Let's break the task settings down.</p>
<p style="clear: both"><ul>
<li>Source Folder is where the C# code is. In this case, the code is in the <em>web</em> directory.</li>
<li>Contents are the code that you want to copy. ** means all of code from the source folder.</li>
<li>Target folder is the location to copy the code to. For every pipeline that is ran, Microsoft, on the back end, creates a container to run the pipeline. The container is sometimes used to store data for the course of the pipeline run. In this case, the $(Build.ArtifactStagingDirectory) is a specific Azure DevOps predefined variable that takes the C# web app code and stores the code in a local path on the pipeline container.</li>
</ul>
<img style="float: left; margin: 0 10px 5px 0;" src="https://www.clouddev.engineering/content/images/2020/03/image-108.png" /></p>
<p>Open up the second task to publish the copied C# web app code and turn it into a build artifact. The screenshot below shows what the settings should be, which is the default.</p>
<p>Let's break down what the task settings mean.</p>
<p style="clear: both"><ul>
<li>The path to publish is where the C# web app code is copied to, which is the predefined variable path $(Build.ArtifactStagingDirectory)</li>
<li>The artifact name, by default is drop. This is a metadata name of the artifact.</li>
<li>The Artifact publish location is where the artifact will be stored. In this case, it's going to be stored in Azure DevOps, but it other scenarios the artifact can also be stored in a file share.</li>
</ul>
<img style="float: left; margin: 0 10px 5px 0;" src="https://www.clouddev.engineering/content/images/2020/03/image-109.png" /></p>
<p>The third and final task is the Docker task. The Docker task is what is used to build the Docker image.</p>
<p>Let's break down what the task settings mean.</p>
<p style="clear: both"><ul>
<li>Container registry is the registry that was created in the previous section <strong>Creating a Container Registry</strong>. You will need to click the <strong>+ New</strong> button shown in the screenshot below and authenticate to Azure Container Registry by typing in the email and password associated with the Azure acount.</li>
<li>Container Repository is a metadata name of where the Docker image will be stored. This is completely up to you based on what you would like to name it. For this blog post, the container repo is named corewebapp .</li>
<li>buildAndPush command is used to build the Docker image and push the image to ACR.</li>
<li>Dockerfile is used to retrieve the Dockerfile that was seen in the previous section <strong>Taking a Look at the Dockerfile.</strong></li>
</ul>
<img style="float: left; margin: 0 10px 5px 0;" src="https://www.clouddev.engineering/content/images/2020/03/image-110.png" /></p>
<h3>Deploying the Pipeline</h3>
<p>In the previous section you built the pipeline, the tasks, and learned what each task was meant for. Without the tasks, the C# web app code cannot be built and deployed. In this section you will deploy the pipeline and see the Docker image created.</p>
<p>Click the <strong>Save & queue button</strong> and choose the <strong>Save & queue</strong> option to deploy the pipeline.</p>
<p style="clear: both"> <img src="https://www.clouddev.engineering/content/images/2020/03/image-111.png" /></p>
<p>Click the blue <strong>Save and run</strong> button to run the pipeline.</p>
<p style="clear: both"> <img src="https://www.clouddev.engineering/content/images/2020/03/image-112.png" /></p>
<p>The pipeline will now start running. Click the Agent job 1 button to see the tasks in action.</p>
<p style="clear: both"> <img src="https://www.clouddev.engineering/content/images/2020/03/image-113.png" /></p>
<p>The task has run successfully and the Docker image has been built!</p>
<p style="clear: both"> <img src="https://www.clouddev.engineering/content/images/2020/03/image-116.png" /></p>
<h3>Checking the Docker Image in ACR</h3>
<p>The Docker image has been successfully created and it's now time to confirm the Docker image in the Azure portal.</p>
<p>Open up a web browser and go to the Container Registry portal. Please note that the container registry you see will differ from the screenshot below.</p>
<p style="clear: both"> <img src="https://www.clouddev.engineering/content/images/2020/03/image-117.png" /></p>
<p>Under services click on <strong>Repositories</strong> per the screenshot below.</p>
<p style="clear: both"> <img src="https://www.clouddev.engineering/content/images/2020/03/image-118.png" /></p>
<p>Click on the <strong>corewebapp</strong> repository to see the Docker image.</p>
<p style="clear: both"> <img src="https://www.clouddev.engineering/content/images/2020/03/image-119.png" /> <img src="https://www.clouddev.engineering/content/images/2020/03/image-121.png" /></p>
<p>Congratulations! You have successfully created a Docker image with an Azure DevOps pipeline.</p>
<h2>Conclusion</h2>
<p>In this blog post you took a hands-on approach from start to finish creating a Docker image in the CI process. You created an Azure Container Registry and the Dockerfile for the Docker image. Following the ACR and Dockerfile creation you took the C# web app code from the GitHub repository in the prerequisites section and stored it in your own GitHub repo. Finally you created a new Azure DevOps pipeline to not only build an artifact out of the C# code, but to create a Docker image to be used in any environment.</p>
<p>The CI process is a great place to build the Docker image because the code is already being automatically integrated. If the organization you work for is using Docker, it only makes sense to create a Docker image that's going to be deployed for the application. Since the code is being tested and integrated in the CI process to build an artifact, the next step is to build the Docker image to use the application code.</p>
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How to Build a Docker Image in an Azure DevOps Pipeline Michael Levan Read more posts by this author. Michael Levan Deploying an application reliably and efficiently
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