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

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. \n \nIn Pipeline as Code, you will master: \n \nBuilding and deploying a Jenkins cluster from scratch \nWriting pipeline as code for cloud-native applications \nAutomating the deployment of Dockerized and Serverless applications \nContainerizing applications with Docker and Kubernetes \nDeploying Jenkins on AWS, GCP and Azure \nManaging, securing and monitoring a Jenkins cluster in production \nKey principles for a successful DevOps culture \n \nPipeline 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. \n \nAbout the technology \nTreat 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. \n \nAbout the book \nIn 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! \n \nWhat's inside \n \nBuild and deploy a Jenkins cluster on scale \nWrite pipeline as code for cloud-native applications \nAutomate the deployment of Dockerized and serverless applications \nDeploy Jenkins on AWS, GCP, and Azure \nGrasp key principles of a successful DevOps culture \n \nAbout the reader \nFor developers familiar with Jenkins and Docker. Examples in Go. \n \nAbout the author \nMohamed Labouardy is the CTO and co-founder of Crew.work, a Jenkins contributor, and a DevSecOps evangelist. \n \nTable of Contents \n \nPART 1 GETTING STARTED WITH JENKINS \n1 What’s CI/CD? \n2 Pipeline as code with Jenkins \nPART 2 OPERATING A SELF-HEALING JENKINS CLUSTER \n3 Defining Jenkins architecture \n4 Baking machine images with Packer \n5 Discovering Jenkins as code with Terraform \n6 Deploying HA Jenkins on multiple cloud providers \nPART 3 HANDS-ON CI/CD PIPELINES \n7 Defining a pipeline as code for microservices \n8 Running automated tests with Jenkins \n9 Building Docker images within a CI pipeline \n10 Cloud-native applications on Docker Swarm \n11 Dockerized microservices on K8s \n12 Lambda-based serverless functions \nPART 4 MANAGING, SCALING, AND MONITORING JENKINS \n13 Collecting continuous delivery metrics \n14 Jenkins administration and best practices

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