Developing Azure Compute Solutions

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Free Online Course: Developing Azure Compute Solutions provided by LinkedIn Learning is a comprehensive online course, which lasts for Less than 1 hour of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. Developing Azure Compute Solutions is taught by Adrienne Braganza Tacke.

Overview
  • Learn how to set up proper source control for your web app and configure a fully automated continuous integration and continuous delivery (CI/CD) pipeline in Azure.

    As a developer, you need to field a constant flow of requests for new features, updates, and bug fixes. By implementing an automated development workflow, you can more effectively keep up with these demands. Curious about how to automate a new or existing project for your team? In this course, learn how to set up proper source control for your web app and configure a fully automated continuous integration and continuous delivery (CI/CD) pipeline in Azure. Instructor Adrienne Braganza Tacke demonstrates how to create a web app in both Visual Studio and the Azure portal; set up source control for your app using Azure DevOps and GitHub; and create build and release pipelines in Azure DevOps.

Syllabus
  • Introduction

    • Automate your Azure development workflow
    • What you should know
    1. Create a Web App with Azure App Service
    • Create a web app in the Azure portal
    • Create a web app in Visual Studio
    • Publish your app to Azure
    2. Set Up Source Control for Your App
    • Initialize a new repo using Azure DevOps
    • Initialize a new repo using GitHub
    • Set up an existing app on Azure DevOps
    • Set up an existing app on GitHub
    3. Configure a Continuous Integration Pipeline
    • Create a build pipeline in Azure DevOps
    • Configure your build steps
    • Add build pipeline triggers
    • Queue manual builds when necessary
    4. Configure a Continuous Delivery Pipeline
    • Create a release pipeline in DevOps
    • Set up your artifact
    • Add release pipeline triggers
    • Configure your stages
    • Set up deployment conditions
    • Queue manual releases when necessary
    Conclusion
    • Next steps