Pipeline as Code: Continuous Delivery with Jenkins, Kubernetes, and Terraform by Labouardy, Mohamed -- Read -- Imperial Library of Trantor

Index

inside front cover Pipeline as Code Copyright brief contents contents front matter

preface acknowledgments about this book

Who should read this book How this book is organized About the code liveBook discussion forum Other online resources

about the author about the cover illustration

Part 1. Getting started with Jenkins 1 What’s CI/CD?

1.1 Going cloud native

1.1.1 Monolithic 1.1.2 Microservices 1.1.3 Cloud native 1.1.4 Serverless

1.2 Defining continuous integration 1.3 Defining continuous deployment 1.4 Defining continuous delivery 1.5 Embracing CI/CD practices 1.6 Using essential CI/CD tools

1.6.1 Choosing a CI/CD tool 1.6.2 Introducing Jenkins

Summary

2 Pipeline as code with Jenkins

2.1 Introducing the Jenkinsfile

2.1.1 Blue Ocean plugin 2.1.2 Scripted pipeline 2.1.3 Declarative pipeline

2.2 Understanding multibranch pipelines 2.3 Exploring the GitFlow branch model 2.4 Test-driven development with Jenkins

2.4.1 The Jenkins Replay button 2.4.2 Command-line pipeline linter 2.4.3 IDE integrations

Summary

Part 2. Operating a self-healing Jenkins cluster 3 Defining Jenkins architecture

3.1 Understanding master-worker architecture 3.2 Managing Jenkins workers

3.2.1 SSH 3.2.2 Command line 3.2.3 JNLP 3.2.4 Windows service

3.3 Architecting Jenkins for scale in AWS

3.3.1 Preparing the AWS environment 3.3.2 Configuring the AWS CLI 3.3.3 Creating and managing the IAM user

Summary

4 Baking machine images with Packer

4.1 Immutable infrastructure 4.2 Introducing Packer

4.2.1 How does it work? 4.2.2 Installation and configuration 4.2.3 Baking a machine image

4.3 Baking the Jenkins master AMI

4.3.1 Configuring Jenkins upon startup 4.3.2 Discovering Jenkins plugins

4.4 Baking the Jenkins worker AMI Summary

5 Discovering Jenkins as code with Terraform

5.1 Introducing infrastructure as code

5.1.1 Terraform usage

5.2 Provisioning an AWS VPC

5.2.1 AWS VPC 5.2.2 VPC subnets 5.2.3 VPC route tables 5.2.4 VPC bastion host

5.3 Setting up a self-healing Jenkins master 5.4 Running Jenkins with native SSL/HTTPS 5.5 Dynamically autoscaling the Jenkins worker pool

5.5.1 Launch configuration 5.5.2 Auto Scaling group 5.5.3 Autoscaling scaling policies 5.5.4 Workers CPU utilization load

Summary

6 Deploying HA Jenkins on multiple cloud providers

6.1 Google Cloud Platform

6.1.1 Building Jenkins VM images 6.1.2 Configuring a GCP network with Terraform 6.1.3 Deploying Jenkins on Google Compute Engine 6.1.4 Launching automanaged workers on GCP

6.2 Microsoft Azure

6.2.1 Building golden Jenkins VM images in Azure 6.2.2 Deploying a private virtual network 6.2.3 Deploying a Jenkins master virtual machine 6.2.4 Applying autoscaling to Jenkins workers

6.3 DigitalOcean

6.3.1 Creating Jenkins DigitalOcean Snapshots 6.3.2 Deploying a Jenkins master Droplet 6.3.3 Building Jenkins worker Droplets

Summary

Part 3. Hands-on CI/CD pipelines 7 Defining a pipeline as code for microservices

7.1 Introducing microservices-based applications 7.2 Defining multibranch pipeline jobs 7.3 Git and GitHub integration 7.4 Discovering Jenkins jobs’ XML configuration 7.5 Configuring SSH authentication with Jenkins 7.6 Triggering Jenkins builds with GitHub webhooks Summary

8 Running automated tests with Jenkins

8.1 Running unit tests inside Docker containers 8.2 Automating code linter integration with Jenkins 8.3 Generating code coverage reports 8.4 Injecting security in the CI pipeline 8.5 Running parallel tests with Jenkins 8.6 Improving quality with code analysis 8.7 Running mocked database tests 8.8 Generating HTML coverage reports 8.9 Automating UI testing with Headless Chrome 8.10 Integrating SonarQube Scanner with Jenkins Summary

9 Building Docker images within a CI pipeline

9.1 Building Docker images

9.1.1 Using the Docker DSL 9.1.2 Docker build arguments

9.2 Deploying a Docker private registry

9.2.1 Nexus Repository OSS 9.2.2 Amazon Elastic Container Registry 9.2.3 Azure Container Registry 9.2.4 Google Container Registry

9.3 Tagging Docker images the right way 9.4 Scanning Docker images for vulnerabilities 9.5 Writing a Jenkins declarative pipeline 9.6 Managing pull requests with Jenkins Summary

10 Cloud-native applications on Docker Swarm

10.1 Running a distributed Docker Swarm cluster 10.2 Defining a continuous deployment process 10.3 Integrating Jenkins with Slack notifications 10.4 Handling code promotion with Jenkins 10.5 Implementing the Jenkins delivery pipeline Summary

11 Dockerized microservices on K8s

11.1 Setting up a Kubernetes cluster 11.2 Automating continuous deployment flow with Jenkins

11.2.1 Migrating Docker Compose to K8s manifests with Kompose

11.3 Walking through continuous delivery steps 11.4 Packaging Kubernetes applications with Helm 11.5 Running post-deployment smoke tests 11.6 Discovering Jenkins X Summary

12 Lambda-based serverless functions

12.1 Deploying a Lambda-based application 12.2 Creating deployment packages

12.2.1 Mono-repo strategy 12.2.2 Multi-repo strategy

12.3 Updating Lambda function code 12.4 Hosting a static website on S3 12.5 Maintaining multiple Lambda environments 12.6 Configuring email notification in Jenkins Summary

Part 4. Managing, scaling, and monitoring Jenkins 13 Collecting continuous delivery metrics

13.1 Monitoring Jenkins cluster health 13.2 Centralized logging for Jenkins logs with ELK

13.2.1 Streaming logs with Filebeat 13.2.2 Streaming logs with the Logstash plugin

13.3 Creating alerts based on metrics Summary

14 Jenkins administration and best practices

14.1 Exploring Jenkins security and RBAC authorization

14.1.1 Matrix authorization strategy 14.1.2 Role-based authorization strategy

14.2 Configuring GitHub OAuth for Jenkins 14.3 Keeping track of Jenkins users’ actions 14.4 Extending Jenkins with shared libraries 14.5 Backing up and restoring Jenkins 14.6 Setting up cron jobs with Jenkins 14.7 Running Jenkins locally as a Docker container Summary Wrapping up

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