Book Image

Implementing CI/CD Using Azure Pipelines

By : Piti Champeethong, Roberto Mardeni
5 (1)
Book Image

Implementing CI/CD Using Azure Pipelines

5 (1)
By: Piti Champeethong, Roberto Mardeni

Overview of this book

Continuous integration and continuous delivery (CI/CD) are ubiquitous concepts in modern development. Azure Pipelines is one of the most popular services that you can utilize for CI/CD, and this book shows you how it works by taking you through the process of building and automating CI/CD systems using Azure Pipelines and YAML, simplifying integration with Azure resources and reducing human error. You’ll begin by getting an overview of Azure Pipelines and why you should use it. Next, the book helps you get to grips with build and release pipelines, and then builds upon this by introducing the extensive power of YAML syntax, which you can use to implement and configure any task you can think of. As you advance, you’ll discover how to integrate Infrastructure as Code tools, such as Terraform, and perform code analysis with SonarQube. In the concluding chapters, you’ll delve into real-life scenarios and hands-on implementation tasks with Microsoft Azure services, AWS, and cross-mobile application with Flutter, Google Firebase, and more. By the end of this book, you’ll be able to design and build CI/CD systems using Azure Pipelines with consummate ease, write code using YAML, and configure any task that comes to mind.
Table of Contents (18 chapters)
1
Part 1:Getting Started with Azure Pipelines
6
Part 2:Azure Pipelines in Action
11
Part 3:CI/CD for Real-World Scenarios
15
Chapter 12: Navigating Common Pitfalls and Future Trends in Azure Pipelines

Summary

In this chapter, we learned how to deploy containerized applications to different services in the AWS cloud. At the same time, we learned how containers allow for portability across cloud providers and the ability to take advantage of multiple services within the same ecosystem.

Next, we learned how to use AWS ECR and private repositories to manage all our container images and how the process to build and push those containers, although based on the same docker-compose tool, must be implemented differently depending on the target platform.

We also learned about the eksctl CLI tool, which makes it easier to provision and configure EKS clusters in AWS with best practices, as well as how to use Helm charts to deploy a containerized application to a Kubernetes-based service regardless of the underlying infrastructure.

Finally, we learned how to deploy to ECS with both Fargate (serverless) and EC2 (virtual machines) infrastructure, both with a very similar and simple application...