Learning Continuous Integration with Jenkins-3rd edition

An end-to-end guide to creating operational, secure, resilient, and cost-effective CI/CD processes

Nikhil Pathania 지음

Packt(GCO Science) 2024년 01월 31일 출간

작품소개

책소개

Integrate Jenkins, Kubernetes, and more on cloud into a robust, GitOps-driven CI/CD system, leveraging JCasC, IaC, and AI for a streamlined software delivery process

▶Book Description
This updated edition of Learning Continuous Integration with Jenkins is your one-stop guide to implementing CI/CD with Jenkins, addressing crucial technologies such as cloud computing, containerization, Infrastructure as Code, and GitOps. Tailored to both beginners and seasoned developers, the book provides a practical path to mastering a production-grade, secure, resilient, and cost-effective CI/CD setup.
Starting with a detailed introduction to the fundamental principles of CI, this book systematically takes you through setting up a CI environment using Jenkins and other pivotal DevOps tools within the CI/CD ecosystem. You’ll learn to write pipeline code with AI assistance and craft your own CI pipeline. With the help of hands-on tutorials, you’ll gain a profound understanding of the CI process and Jenkins’ robust capabilities. Additionally, the book teaches you how to expand your CI pipeline with automated testing and deployment, setting the stage for continuous deployment. To help you through the complete software delivery process, this book also covers methods to ensure that your CI/CD setup is maintainable across teams, secure, and performs optimally.
By the end of the book, you’ll have become an expert in implementing and optimizing CI/CD setups across diverse teams.

▶ What You Will Learn
⦁ Understand CI with the Golden Circle theory
⦁ Deploy Jenkins on the cloud using Helm charts and Jenkins Configuration as Code (JCasC)
⦁ Implement optimal security practices to ensure Jenkins operates securely
⦁ Extend Jenkins for CI by integrating with SonarQube, GitHub, and Artifactory
⦁ Scale Jenkins using containers and the cloud for optimal performance
⦁ Master Jenkins declarative syntax to enrich your pipeline coding vocabulary
⦁ Enhance security and improve pipeline code within your CI/CD process using best practices

목차

▶ TABLE of CONTENTS
1. The What, How, and Why of Continuous Integration
2. Planning, Deploying, and Maintaining Jenkins
3. Securing Jenkins
4. Extending Jenkins
5. Scaling Jenkins
6. Enhancing Jenkins Pipeline Vocabulary
7. Crafting AI-Powered Pipeline Code
8. Setting the Stage for Writing Your First CI Pipeline
9. Writing Your First CI pipeline
10. Planning for Continuous Deployment
11. Writing Your First CD Pipeline
12. Enhancing Your CI/CD Pipelines

책 속으로

▶ What this book covers
⦁ Chapter 1, The What, How, and Why of Continuous Integration, delves into a comprehensive introduction to CI, guided by the Golden Circle theory. This approach helps us to unravel the "what,” "how,” and "why” of CI. Our primary focus is to define the practice of CI, understand its key principles, and learn the essential elements required to achieve it. We will also explore the reasons behind the practice of CI.
⦁ Chapter 2, Planning, Deploying, and Maintaining Jenkins, guides you through planning, deploying, and maintaining a Jenkins server. The aim is to design and deploy a Jenkins setup that is resilient, cost-effective, secure, high-performing, and operational. The chapter starts by examining the Jenkins server architecture, and then it evaluates various deployment scenarios against the Well-Architected Framework. It focuses on the two most popular deployment methods for Jenkins, guiding you through their implementation step by step. This process will integrate crucial DevOps practices, including IaC and JCasC. The chapter also covers the essential aspects of Jenkins server maintenance.
⦁ Chapter 3, Securing Jenkins, examines the key aspects of securing Jenkins. Here, the vital measures to enhance the security around who gets to do what on your Jenkins instance are explored. Firstly, the chapter delves into user authentication and permissions by integrating Jenkins with Azure Active Directory (AD). After that, it goes through Cross-Site Request Forgery (CSRF) protection settings inside Jenkins. Lastly, it explores the powerful Jenkins Credentials feature, which allows for secure storage and usage of sensitive information, such as passwords, API keys, and certificates.
⦁ Chapter 4, Extending Jenkins, explores the expansive world of Jenkins enhancements, enabling you to tailor its functionalities for specific needs such as CI. Enhancing Jenkins for CI demands the integration of additional tools and services, such as SonarQube, Artifactory, and a VCS, which is what the chapter is all about.
⦁ Chapter 5, Scaling Jenkins, teaches you how to scale Jenkins horizontally on the cloud with dynamically produced build agents, using both Virtual Machines (VMs) and containers on an AKS cluster. Both solutions allow organizations to leverage the strengths of each approach. VMs provide flexibility and compatibility with existing infrastructure, while containers offer efficient resource utilization and faster deployment times.
⦁ Chapter 6, Enhancing Jenkins Pipeline Vocabulary, explores learning Jenkins pipeline code syntax. The chapter’s aim is to prepare you for the use of AI to write a Jenkins pipeline. To achieve this, the chapter begins with an introduction to the Jenkins pipeline syntax. Next, you will learn about the core and add-on building blocks of pipeline code. The focus is mainly on the structure and skeleton of a pipeline. It also teaches you some internal Jenkins tools to construct pipeline code.
⦁ Chapter 7, Crafting AI-Powered Pipeline Code, delves into using ChatGPT to write pipeline code. In this chapter, we embark on an enlightening journey into the world of Artificial Intelligence (AI), with a special focus on ChatGPT, a renowned AI model. As we navigate the evolving landscape of AI, you’ll be equipped with the knowledge to harness ChatGPT to aid in the construction of pipeline code.
⦁ Chapter 8, Setting the Stage for Writing Your First CI Pipeline, focuses on planning for CI and understanding the high-level CI design. The chapter begins by explaining the software projects that will be used for CI. Next, we will learn to configure tools such as SonarQube for code quality and Artifactory for Docker image storage. These platforms are vital in our CI pipeline. By the end of the chapter, you’ll have grasped how to analyze a software project for CI, comprehend its architecture, and develop a CI design. We’ll also touch on setting real-time CI triggers through webhooks.
⦁ Chapter 9, Writing Your First CI Pipeline, logically rounds up everything you learned in the previous chapters. It’s a step-by-step, hands-on guide that will teach you to create a CI pipeline in Jenkins. You will start by writing CI pipeline code stage by stage. At the end of the chapter, we will take a walkthrough of the CI pipeline run, using the Jenkins Blue Ocean interface.
⦁ Chapter 10, Planning for Continuous Deployment, delves into understanding CD. You will be introduced to the concepts of CD and its elements, including GitOps. Subsequently, you will be acquainted with a high-level CD design. This is followed by setting up the Argo CD tool, establishing staging and production environments on Azure Kubernetes Service (AKS), and undertaking other essential steps to run a CD pipeline with Jenkins.
⦁ Chapter 11, Writing Your First CD Pipeline, methodically steers through the process of developing a full-fledged CD pipeline. Through the automated CD pipeline, you will master the act of updating an application’s Helm chart on GitHub, consequently triggering a deployment in the staging environment. Post-deployment, the pipeline autonomously monitors the application’s status in staging, runs performance tests, and, upon validation, facilitates further Helm chart modifications on GitHub to initiate deployment in the production environment.
⦁ Chapter 12, Enhancing Your CI/CD Pipelines, explores techniques to enhance your CI and CD pipelines. It introduces GitHub Copilot, an AI tool that refines Jenkins pipeline code development, aiming for smarter coding, fewer errors, and faster development. It also discusses Jenkins Shared Libraries, which centralize common code patterns, simplifying the management of multiple pipelines. Additionally, strategies are provided to handle and remove old Jenkins builds, ensuring system optimization. Furthermore, using JFrog Xray, the chapter demonstrates how you can integrate automated security scans in your Jenkins pipeline, guaranteeing not just functional but also secure code deployment.

출판사 서평

▶ Preface
Dear readers, welcome to the newly updated Learning Continuous Integration with Jenkins – Third Edition! Before diving into the book, I invite you to spend a few moments with this Preface. It’s not just a formality; it’s like a friendly chat before embarking on an exciting exploration. Here, you will get a sneak peek into the book’s purpose, the author’s perspective, and the overall tone and style. It’s like getting to know your guide before setting off on an expedition.
The motivation behind writing this book
When the second edition of Learning Continuous Integration with Jenkins was published in 2017, the landscape of Continuous Integration/Continuous Deployment (CI/CD) was noticeably different from today’s. As 2024 approaches, it’s become clear that the practices and tools I discussed have evolved substantially, making many sections of the previous edition less relevant. This shift in the CI/CD realm inspired me to write this updated edition, bridging the gap between then and now, especially in terms of Jenkins’ application.
Jenkins itself has undergone significant evolution. The advent of Jenkins Configuration as Code (JCasC) and the trend toward deploying Jenkins using Helm charts on Kubernetes exemplify these major shifts. While the core syntax of Jenkins pipeline code has remained mostly stable, the ecosystem surrounding CI/CD has been transformed. The emergence of GitOps, the heightened focus on software composition analysis, and the trend toward container-based applications underscore a broader shift, from monolithic to more modular and scalable architectures.
Another catalyst for this edition has been the confusion and misinformation I’ve witnessed on social media about Agile, CI/CD, GitOps, Infrastructure as Code (IaC), and DevOps. Misinterpretations and partial truths, often spread by less experienced professionals, have clouded the understanding of those new to these practices. This edition aims to dispel these myths, offering a lucid and comprehensive guide to CI/CD methodologies. It focuses not only on tools but also on the principles and practices essential for successful implementation.

작가정보

저자(글) Nikhil Pathania

Nikhil Pathania is a tech expert with deep knowledge in the Software Development Lifecycle (SDLC) domain. His professional identity is shaped by his specialization in Agile methodologies, DevOps practices, cloud technologies, and container solutions. His significant contributions, particularly in implementing CI/CD frameworks at multinational corporations, underline his expertise in optimizing complex software development processes.
In his current role as a solutions architect at Arla Foods, Nikhil spearheads innovative projects in software development and data analytics, reflecting his keen insight into technological advancements and their practical applications.