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 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.