Pipeline as code : continuous delivery with Jenkins, Kubernetes, and Terraform

Pipeline as code continuous delivery with Jenkins, Kubernetes, and Terraform

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 app...

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Detalles Bibliográficos
Otros Autores: Labouardy, Mohamed, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Shelter Island, New York : Manning Publications Co [2021]
Materias:
Application software > Development.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009644294406719
Tabla de Contenidos:
  • Intro
  • 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
  • index.

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