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    Learning Azure DevOps
    Learning Azure DevOps
    Learning Azure DevOps
    Ebook252 pages2 hours

    Learning Azure DevOps

    By Myra Kelnor

    ()

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    About this ebook

    To help cloud professionals make the most of the Azure DevOps platform, "Learning Azure DevOps" is a practical book that walks them through the process step-by-step. This book goes over all the bases of DevOps, including how to automate crucial tasks, deploy infrastructure as code (IaC), and set up and manage CI/CD pipelines. At the outset, the chapters will teach readers how to create Azure DevOps projects and link their repositories to VCSes like GitHub. Any application's build, test, and deployment processes, including Spring Boot's, can be automated with Azure Pipelines by configuring Pipeline as Code using YAML. To make sure that professionals can manage scalable, cloud-native apps, we also cover advanced topics like containerizing apps with Docker and deploying them to Azure Kubernetes Service (AKS).

     

    Using frameworks such as JUnit, Mockito, and Postman, the book goes even further into automated testing to guarantee quality assurance and continuous testing. It teaches to automate backup and disaster recovery procedures for resilient operations and to use Flyway to perform schema migrations. Additionally, teams are guided to work efficiently together through Azure Boards, shared pipelines, and centralized infrastructure management, highlighting collaboration. Also covered is Azure DevOps Analytics, which readers can use to keep tabs on their projects and teams' performance using real-time dashboards.

     

    Key Learnings

    Integrate with Git for version control and set up Azure DevOps projects.

    Develop YAML-based Pipeline as Code to streamline automating builds, tests, and deployments.

    Dockerize your apps and then launch them on AKS.

    Utilize Azure Boards and Project Boards to manage and monitor work items, tasks, and user stories.

    Add Postman, JUnit, and Mockito to automate your application testing.

    Integrate Flyway to automate database schema migrations and achieve continuous delivery.

    Deploy backups and failover procedures automatically in Azure DevOps.

    Use Terraform in conjunction with Azure Pipelines to deploy cloud-based IaC.

    LanguageEnglish
    PublisherGitforGits
    Release dateAug 4, 2024
    ISBN9798227099266
    Learning Azure DevOps

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      Book preview

      Learning Azure DevOps - Myra Kelnor

      Learning Azure DevOps

      Outperform DevOps using Azure Pipelines, Artifacts, Boards, Azure CLI, Test Plans and Repos

      Myra Kelnor

      Preface

      To help cloud professionals make the most of the Azure DevOps platform, Learning Azure DevOps is a practical book that walks them through the process step-by-step. This book goes over all the bases of DevOps, including how to automate crucial tasks, deploy infrastructure as code (IaC), and set up and manage CI/CD pipelines.

      At the outset, the chapters will teach readers how to create Azure DevOps projects and link their repositories to VCSes like GitHub. Any application's build, test, and deployment processes, including Spring Boot's, can be automated with Azure Pipelines by configuring Pipeline as Code using YAML. To make sure that professionals can manage scalable, cloud-native apps, we also cover advanced topics like containerizing apps with Docker and deploying them to Azure Kubernetes Service (AKS).

      Using frameworks such as JUnit, Mockito, and Postman, the book goes even further into automated testing to guarantee quality assurance and continuous testing. It teaches to automate backup and disaster recovery procedures for resilient operations and to use Flyway to perform schema migrations. Additionally, teams are guided to work efficiently together through Azure Boards, shared pipelines, and centralized infrastructure management, highlighting collaboration. Also covered is Azure DevOps Analytics, which readers can use to keep tabs on their projects and teams' performance using real-time dashboards.

      In this book you will learn how to:

      Integrate with Git for version control and set up Azure DevOps projects.

      Develop YAML-based Pipeline as Code to streamline the process of automating builds, tests, and deployments.

      Dockerize your apps and then launch them on AKS.

      Utilize Azure Boards and Project Boards to manage and monitor work items, tasks, and user stories.

      Add Postman, JUnit, and Mockito to your continuous integration pipelines to automate your application testing.

      Integrate Flyway into your Azure Pipelines to automate database schema migrations and achieve continuous delivery.

      Facilitate cross-team and cross-project cooperation by establishing shared pipelines and resources.

      Use Azure DevOps Analytics and performance insights for project management and monitoring.

      Deploy backups and failover procedures automatically in Azure DevOps.

      Use Terraform in conjunction with Azure Pipelines to deploy cloud-based IaC.

      Prologue

      Upon beginning my journey with Azure DevOps, I was astounded by its immense power and versatility. The more I looked into it, the more I realized that it was a full-featured platform with the potential to automate, streamline, and revolutionize our DevOps strategy, rather than merely another toolset. Managing numerous teams, projects, and infrastructure simultaneously is a major challenge in today's cloud workflows, and I learned this firsthand as I worked with Azure DevOps on actual projects.  Learning Azure DevOps, is a reflection of my experiences, and I hope it serves as a useful resource for professionals looking to adopt DevOps at scale.

      My intention all along was to provide an opportunity for practical training. As the reader, what I want from you is action, not merely reading. Each chapter is organized around practical tasks that you can complete as you progress. Whether you're building CI/CD pipelines or managing containerized applications, I'll walk you through each step. For example, you'll quickly learn how to create and configure Azure DevOps projects, integrate GitHub repositories, and implement automated workflows. One of the most significant aspects of this book is its emphasis on real-world scenarios. We start with fundamental concepts like integrating your source code repository and using YAML to define pipelines before progressing to more advanced topics like Infrastructure as Code (IaC) with Terraform. Each task builds on the previous one to ensure that you have a consistent learning experience. This isn't just about setting things up and moving on. It's about understanding why we make certain decisions, how they affect the overall DevOps lifecycle, and how to apply these principles in your own work environments.

      I wanted to make sure that this book portrayed the importance of collaboration in modern DevOps. From creating shared pipelines to collaborating with multiple teams, I emphasize how to align DevOps practices with teamwork. We'll look at the features of Azure Boards, including how to track work items, bugs, and sprints in a way that is understandable to both developers and project managers. You'll learn how to strike a balance between productivity and transparency, so that everyone on the team is aware of the project's current state at all times.

      This book will teach you automate everything from builds and tests to database migrations and infrastructure provisioning. By the end, you'll be able to create an automated pipeline that not only builds and tests your application, but also deploys it to a scalable cloud environment such as Azure Kubernetes Service (AKS), including disaster recovery and backup procedures. These are skills that will change the way you and your team deliver software.

      I think this book's pragmatic approach will speak to you as a professional who wants to become an expert in Azure DevOps. This is not about theoretical knowledge; it is about providing you with the tools and confidence to use Azure DevOps effectively in your daily work.

      Copyright © 2024 by GitforGits

      All rights reserved. This book is protected under copyright laws and no part of it may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or by any information storage and retrieval system, without the prior written permission of the publisher. Any unauthorized reproduction, distribution, or transmission of this work may result in civil and criminal penalties and will be dealt with in the respective jurisdiction at anywhere in India, in accordance with the applicable copyright laws.

      Published by: GitforGits

      Publisher: Sonal Dhandre

      www.gitforgits.com

      support@gitforgits.com

      First Printing: August 2024

      Cover Design by: Kitten Publishing

      For permission to use material from this book, please contact GitforGits at support@gitforgits.com.

      Content

      Preface

      GitforGits

      Acknowledgement

      Chapter 1: Getting Started with Azure DevOps

      Overview

      What is Azure DevOps?

      Services Offered by Azure DevOps

      Azure Repos

      Azure Pipelines

      Azure Boards

      Azure Test Plans

      Azure Artifacts

      How Azure DevOps Forms a Unified Platform?

      Setting up Azure DevOps Organization and Projects

      Create an Azure DevOps Account

      Setting up Organization

      Setting up a New Project

      Configuring Repositories

      Configuring Pipelines

      Setting up Testing Environments

      Managing Multiple Projects within an Organization

      Installing and configuring Azure CLI

      Installing Azure CLI on Windows

      Logging into Azure CLI

      Configuring Azure CLI

      Set Default Output Format

      Set Default Resource Group

      Viewing Current Configurations

      Popular Azure CLI Commands In-use

      Creating and Managing Resource Groups

      Working with Azure Virtual Machines

      Managing Azure DevOps Pipelines

      Managing Kubernetes Clusters

      Working with Storage Accounts

      Deploying Azure Resources using ARM Templates

      Introduction to Visual Studio Code for DevOps tasks

      Installing VS Code on Windows

      VS Code Features and Components for DevOps

      Integrated Terminal

      Git Integration

      Extensions for Azure and DevOps

      Editing and Managing YAML Pipelines

      Task Automation with Task Runner

      Remote Development

      Cloning and Setting up REST API Application

      Cloning the Spring Boot REST API Repository

      Opening Project in VS Code

      Building the Application

      Running the Application Locally

      Preparing Project for Azure DevOps

      Summary

      Chapter 2: Pipeline as Code with YAML

      Overview

      Introduction to Pipeline as Code

      Introduction to YAML in Pipeline as Code

      Benefits of YAML in Pipeline as Code

      Exploring YAML for Azure Pipelines

      Creating Pipeline Definition File

      Defining Triggers

      Specifying Pipeline Environment

      Defining the Build Stage

      Running Unit Tests

      Defining Build Artifacts

      Running the Pipeline in Azure DevOps

      Modifying the Pipeline

      Creating Build Pipeline for Spring Boot

      Create a New Pipeline in Azure DevOps

      Writing the Build Pipeline for Spring Boot

      Configuring Unit Testing

      Saving and Running the Pipeline

      Modifying the Pipeline

      Structuring Multi-Stage YAML Pipelines

      Define Structure of Multi-Stage Pipelines

      Defining Build Stage

      Defining Staging

      Defining Production Stage

      Running and Monitoring the Multi-stage Pipeline

      Using VS Code extensions for YAML

      Installing the YAML Extension in VS Code

      Installing Azure Pipelines Extension

      Leveraging IntelliSense for YAML files

      Enabling YAML Linting and Formatting

      Using Snippets for faster YAML Editing

      Snippet Overview

      Creating Custom Snippets

      Validating and Testing YAML files

      Real-time Validation

      Schema-based Validation

      Summary

      Chapter 3: Continuous Integration with Azure Pipelines

      Overview

      Getting Started with Continuous Integration

      Configuring Build Triggers

      Understanding Build Triggers

      Configuring a Trigger in the YAML Build Pipeline

      Configuring Pull Request Triggers

      Testing the Build Trigger

      Configuring Path Filters for Triggers

      Automating Tests in CI pipelines with JUnit and Mockito

      JUnit and Mockito Overview

      Installing and Configuring JUnit and Mockito

      Writing Unit Tests with JUnit

      Mocking Dependencies with Mockito

      Automating Tests in the CI Pipeline

      Handling Code Quality with Static Analysis

      Setting up SonarQube in Azure Pipelines

      Use SonarCloud

      Install the SonarQube Extension in Azure Pipelines

      Configuring YAML file for SonarQube Analysis

      Update the YAML Pipeline

      Running Static Analysis in CI Pipeline

      Viewing the SonarQube Report

      Using Azure Pipelines to Test Project

      Ensuring the CI Pipeline is Setup

      Running the CI Pipeline in Azure Pipelines

      Commit and Push Changes to the Repository

      Monitor the Pipeline

      Viewing Build Logs

      Testing the Spring Boot Project in the Pipeline

      Summary

      Chapter 4: Continuous Delivery with Azure Pipelines

      Overview

      Understanding Continuous Delivery (CD) and Deployment Strategies

      Deployment Strategies in Azure DevOps

      Blue-Green Deployment

      Canary Release

      Deploying Spring Boot Apps to Azure App Service

      Deploying Application to Azure App Service

      Preparing Spring Boot Application

      Creating Azure App Service Instance

      Deploying Application

      Automating Deployment Process using Azure Pipelines

      Configure Deployment Stage in YAML Pipeline

      Running Automated Deployment Pipeline

      Managing Multiple Environments in Azure DevOps

      Understanding Environment Management

      Setting up Multiple Environments in YAML file

      Linking Environments in Azure DevOps

      Setting Deployment Conditions

      Conditional Deployment

      Approvals and Gates

      Triggering Pipeline and Managing Environment Flow

      Implementing Approval Gates and Checks

      Setting up Environments for Approvals

      Adding Approval Gates in the YAML Pipeline

      Testing Approval Gates in Action

      Implementing Additional Checks

      Using ARM Templates to Automate Infrastructure Provisioning

      Understanding ARM Templates

      Creating ARM Template for Spring Boot Infrastructure

      Create a JSON File

      Deploying the ARM Template Using Azure CLI

      Automating ARM Template Deployment

      Summary

      Chapter 5: Managing Dependencies with Azure Artifacts

      Overview

      Getting Started with Azure Artifacts

      Creating an Azure Artifacts Feed

      Navigate to Azure Artifacts

      Create a New Feed

      Configure Permissions

      Maven for Azure Artifacts

      Connect to Feed

      Update Maven Settings

      Configure Project's POM File

      Uploading and Consuming Packages

      Integrating Azure Artifacts with CI/CD Pipeline

      Setting up NuGet Feeds

      Creating a NuGet Feed in Azure Artifacts

      Setting up NuGet on Your Local Machine

      Pushing NuGet Package to Azure Artifacts

      Consuming NuGet Packages in Other Projects

      Integrating NuGet Packages into CI/CD Pipeline

      Integrating Dependencies into CI/CD Pipeline

      Integrating Maven Dependencies into CI/CD Pipeline

      Integrating NuGet Dependencies into CI/CD Pipeline

      Managing Version Control for Dependencies

      Managing Version Control for Packages

      Managing Package Versions in Maven

      Setting Package Versions

      Upgrading to a New Version

      Rolling Back to a Previous Version

      Managing NuGet Package Versions

      Setting Package Versions in NuGet

      Upgrading to a New Version

      Rolling Back to a Previous Version

      Using Version Ranges in NuGet

      Version Control and Package Publishing in CI/CD Pipeline

      Publishing Artifacts from Build Pipelines

      Leveraging the Existing Build Pipeline

      Modifying the Pipeline to Publish NuGet Artifacts

      Accessing and Using Published NuGet Packages

      Managing Versions of Published Artifacts

      Summary

      Chapter 6: Testing and Quality Assurance with Azure Test Plans

      Overview

      Up and Running with Azure Test Plans

      Activating Azure Test Plans

      Configuring Azure Test Plans

      Create a Test Plan

      Define Test Suites

      Adding Team Members

      Integrating with Work Items

      Configuring Azure Test Runner for Manual Tests

      Setting up Test Plans for Manual Testing

      Creating Structured Test Cases

      Executing Manual Tests

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