Using Azure DevOps CI CD Pipelines With Azure App Services

By leveraging all these features together, teams can streamline their AKS workflow and ensure the smooth operation of their applications in production environments. In this article, we will be using Azure Pipelines to create a CI/CD pipeline for a .NET project. The Azure CI/CD pipeline simplifies continuous integration and continuous delivery (CI/CD) in the application development process. You can start from the source stage with existing code on GitHub or on-premise containers. The Azure Repos can maintain a central repository, and the Azure pipelines maintain build and release pipelines for the given project.

Building a CI/CD Pipeline Using Azure DevOps

Now that you have configured build and release pipelines specifically for your repository in Azure DevOps, it’s a good idea to replace the given templates with your own. It’s finally time for us to create a pipeline in Azure DevOps. Select your Azure Repos or GitHub source and self-hosted agent pool you created previously. Then copy-paste this file which is the yaml file describing the pipeline.

GitHub Repositories

This process can also be manually triggered if required. Once the build process is complete, which could also include tests, the code is deployed to the Azure App service via the Azure DevOps release pipeline. Depending on the requirement, this process can also be triggered manually or automatically.

Building a CI/CD Pipeline Using Azure DevOps

Radically Modifying the Code Base for the App.Committing the change in this repo should automatically trigger a build, perform our tests, and publish a deployment package. We can confirm this by reviewing the build status. Click the “Release” button on the top right of the release pipeline screen and create a new release. Use the settings as shown in Figure 18. Reviewing the Deployment Trigger.Notice that continuous deployment is enabled by default.

Native App Testing

Going forward, each new build will trigger a deployment to our development slot in Azure App Service. We had discussed the core features of Azure DevOps. One of those features is Azure Pipelines.

Building a CI/CD Pipeline Using Azure DevOps

The code is mostly deployed into a testing or UAT slot. Here, the changes are tested, and if all looks good, the slot is swapped with the production slot, and the changes are ready for use in production. Azure DevOps offers a CI/CD pipeline to support development projects. This page focuses on the third option, programmatic deployment using Azure Pipelines as a continuous integration and deployment pipeline.

How to Implement CICD Pipeline Using Azure DevOps Pipelines

You can also access other AKS-related settings like resource quotas, storage settings, networking policies, etc., from this tab. It is always a good idea to set up monitoring of our application using Application Insights. From here, we can collect real-time data on the usage, performance, and any issues on our application.

Building a CI/CD Pipeline Using Azure DevOps

You can go with the existing code or create a sample application as a new Azure DevOps project. Deploy Stage – Once we have a runnable code, the deployment is processed with all predefined tests passed. There are a lot of stages like “Beta,” “Staging,” etc., for the product team. A “Production” stage for the end-users is also present. In simple words, a pipeline may sound like an overhead, but it isn’t. Instead, it’s a runnable specification of steps that reduce developers’ manual work by delivering a new version of a software productively and saves time.

3 Build the Solution

In this example, you have five tasks. While processing a job of a Build Pipeline, many files are getting created. Those ones, which should be available to be downloaded or post-processed are moved azure devops services to a specific directory – the Artifact Staging Directory. The simple Console Application written in C# below is used within simple examples of a Build Pipeline and the related Release Pipeline.

  • Many of us are aware of the benefits that a strong focus on automation can bring, particularly in our development workflow and DevOps lifecycle.
  • This stage acts as a sieve that prevents the bugs from reaching the end-user.
  • The next step is providing more information about the AKS cluster itself that is being deployed on.
  • For example, Azure Pipelines allows software developers to configure pipelines using YAML files, which is handy and easy to learn.
  • Besides creating content, I try to read every book there ever existed and travel to places that are within reach .

Afterwards, we want to think about declaring variables. This is particuarly beneficial if we are using the same values for multiple tasks within our pipeline, such as environment variables. Azure Pipelines supports a number of external source repositories, like BitBucket and Subversion. However, for this demo, we’ll going to use GitHub, and we need to login to GitHub, select the repo that we want to use and authorise it with Azure DevOps. Checkout our “What is Azure DevOps?” guide on how to setup an organisation, a project, and the different services that are available. The next four steps restore the environment.

Test automation made easy

Sign in to Azure Portal and search for DevOps Starter. Then click on Add to create a new resource. Azure DevOps simplifies the CI/CD pipeline creation process, and under this section, we will discuss how to do this for the GitHub repo.

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