Book Image

Continuous Delivery with Docker and Jenkins, 3rd Edition - Third Edition

By : Rafał Leszko
Book Image

Continuous Delivery with Docker and Jenkins, 3rd Edition - Third Edition

By: Rafał Leszko

Overview of this book

This updated third edition of Continuous Delivery with Docker and Jenkins will explain the advantages of combining Jenkins and Docker to improve the continuous integration and delivery process of app development. You’ll start by setting up a Docker server and configuring Jenkins on it. Next, you’ll discover steps for building applications and microservices on Dockerfiles and integrating them with Jenkins using continuous delivery processes such as continuous integration, automated acceptance testing, configuration management, and Infrastructure as Code. Moving ahead, you'll learn how to ensure quick application deployment with Docker containers, along with scaling Jenkins using Kubernetes. Later, you’ll explore how to deploy applications using Docker images and test them with Jenkins. Toward the concluding chapters, the book will focus on missing parts of the CD pipeline, such as the environments and infrastructure, application versioning, and non-functional testing. By the end of this continuous integration and continuous delivery book, you’ll have gained the skills you need to enhance the DevOps workflow by integrating the functionalities of Docker and Jenkins.
Table of Contents (16 chapters)
1
Section 1 – Setting Up the Environment
5
Section 2 – Architecting and Testing an Application
9
Section 3 – Deploying an Application

Server clustering

So far, we have interacted with each of the machines individually. What we did was connect to the localhost Docker daemon server. We could have used the -H option in the docker run command to specify the address of the remote Docker, but that would still mean deploying our application to a single Docker host machine. In real life, however, if servers share the same physical location, we are not interested in which particular machine the service is deployed in. All we need is to have it accessible and replicated in many instances to support high availability. How can we configure a set of machines to work that way? This is the role of clustering.

In the following subsections, you will be introduced to the concept of server clustering and the Kubernetes environment, which is an example of cluster management software.

Introducing server clustering

A server cluster is a set of connected computers that work together in such a way that they can be used similarly...