Book Image

Azure DevOps Server 2019 Cookbook - Second Edition

By : Tarun Arora, Utkarsh Shigihalli
Book Image

Azure DevOps Server 2019 Cookbook - Second Edition

By: Tarun Arora, Utkarsh Shigihalli

Overview of this book

Previously known as Team Foundation Server (TFS), Azure DevOps Server is a comprehensive on-premise DevOps toolset with a rich ecosystem of open source plugins. This book will help you learn how to effectively use the different Azure DevOps services. You will start by building high-quality scalable software targeting .NET, .NET Core and Node.js applications. Next, you will learn techniques that will help you to set up end-to-end traceability of your code changes, from design through to release. Whether you are deploying software on-premise or in the cloud in App Service, Functions, or Azure VMs, this book will help you learn release management techniques to reduce failures. As you progress, you will be able to secure application configuration by using Azure Key Vault. You will also understand how to create and release extensions to the Azure DevOps marketplace and reach the million-strong developer ecosystem for feedback. Later, the working extension samples will even allow you to iterate changes in your extensions easily and release updates to the marketplace quickly. By the end of this book, you will be equipped with the skills you need to break down the invisible silos between your software development teams, and transform them into a modern cross-functional software development team.
Table of Contents (14 chapters)
Title Page
About Packt
Contributors
Preface
Index

Configuring parallel execution of tests using Azure Pipelines


Running tests to validate changes to the code is key to maintaining quality. For continuous integration practice to be successful, it is essential you have a good test suite that is run with every build. However, as the code base grows, the regression test suite tends to grow as well, and running a full regression test can take a long time. Sometimes, tests themselves may be long-running – this is typically the case if you write end-to-end tests. This reduces the speed with which customer value can be delivered, as pipelines cannot process builds quickly enough.

Being able to divide the test execution on multiple cores across a pool of agents can significantly reduce the time it takes to complete the test execution. While most build servers are multi-core, the agent orchestrating the pipelines doesn't always provide an easy way to distribute the test execution on multiple cores. In this recipe, we'll see how easy it is to enable...