Pipeline as Code: Continuous Delivery with Jenkins, Kubernetes, and Terraform

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Pipeline as Code: Continuous Delivery with Jenkins, Kubernetes, and Terraform

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內容描述

Start thinking about your development pipeline as a mission-critical application. Discover techniques for implementing code-driven infrastructure and CI/CD workflows using Jenkins, Docker, Terraform, and cloud-native services.
In Pipeline as Code, you will master:
Building and deploying a Jenkins cluster from scratch
Writing pipeline as code for cloud-native applications
Automating the deployment of Dockerized and Serverless applications
Containerizing applications with Docker and Kubernetes
Deploying Jenkins on AWS, GCP and Azure
Managing, securing and monitoring a Jenkins cluster in production
Key principles for a successful DevOps culture
Pipeline as Code is a practical guide to automating your development pipeline in a cloud-native, service-driven world. You'll use the latest infrastructure-as-code tools like Packer and Terraform to develop reliable CI/CD pipelines for numerous cloud-native applications. Follow this book's insightful best practices, and you'll soon be delivering software that's quicker to market, faster to deploy, and with less last-minute production bugs.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
About the technology
Treat your CI/CD pipeline like the real application it is. With the Pipeline as Code approach, you create a collection of scripts that replace the tedious web UI wrapped around most CI/CD systems. Code-driven pipelines are easy to use, modify, and maintain, and your entire CI pipeline becomes more efficient because you directly interact with core components like Jenkins, Terraform, and Docker.
About the book
In Pipeline as Code you'll learn to build reliable CI/CD pipelines for cloud-native applications. With Jenkins as the backbone, you'll programmatically control all the pieces of your pipeline via modern APIs. Hands-on examples include building CI/CD workflows for distributed Kubernetes applications, and serverless functions. By the time you're finished, you'll be able to swap manual UI-based adjustments with a fully automated approach!
What's inside
Build and deploy a Jenkins cluster on scale
Write pipeline as code for cloud-native applications
Automate the deployment of Dockerized and serverless applications
Deploy Jenkins on AWS, GCP, and Azure
Grasp key principles of a successful DevOps culture
About the reader
For developers familiar with Jenkins and Docker. Examples in Go.
About the author
Mohamed Labouardy is the CTO and co-founder of Crew.work, a Jenkins contributor, and a DevSecOps evangelist.
Table of Contents
PART 1 GETTING STARTED WITH JENKINS
1 What's CI/CD?
2 Pipeline as code with Jenkins
PART 2 OPERATING A SELF-HEALING JENKINS CLUSTER
3 Defining Jenkins architecture
4 Baking machine images with Packer
5 Discovering Jenkins as code with Terraform
6 Deploying HA Jenkins on multiple cloud providers
PART 3 HANDS-ON CI/CD PIPELINES
7 Defining a pipeline as code for microservices
8 Running automated tests with Jenkins
9 Building Docker images within a CI pipeline
10 Cloud-native applications on Docker Swarm
11 Dockerized microservices on K8s
12 Lambda-based serverless functions
PART 4 MANAGING, SCALING, AND MONITORING JENKINS
13 Collecting continuous delivery metrics
14 Jenkins administration and best practices

作者介紹

Mohamed Labouardy is the CTO and co-founder of Crew.work, and a DevSecOps evangelist. He is the founder of Komiser.io, an author, open-source contributor, and regular conference speaker.