Pipeline as code : continuous delivery with Jenkins, Kubernetes, and Terraform / Mohamed Labouardy.

Format:

Book

Author/Creator:

Labouardy, Mohamed, author.

Language:

English

Subjects (All):

Application software--Development.

Application software.

Physical Description:

1 online resource (333 pages)

Place of Publication:

Shelter Island, New York : Manning Publications Co., [2021]

Summary:

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!

Contents:

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

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

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

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

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

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

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

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

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

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

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

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

Wrapping up

index.

Notes:

Description based on print version record.

Includes bibliographical references and index.

Includes index.

ISBN:

9781638350378

163835037X

9781617297540

1617297542

OCLC:

1281980523