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

Using Docker volumes

Imagine that you would like to run a database as a container. You can start such a container and enter data. Where is it stored? What happens when you stop the container or remove it? You can start a new one, but the database will be empty again. Unless it's your testing environment, you'd expect to have your data persisted permanently.

A Docker volume is the Docker host's directory mounted inside the container. It allows the container to write to the host's filesystem as if it were writing to its own. The mechanism is presented in the following diagram:

Figure 2.10 – Using a Docker volume

Docker volumes enable the persistence and sharing of a container's data. Volumes also clearly separate the processing from the data. Let's start with the following example:

  1. Specify a volume with the -v <host_path>:<container_path> option and then connect to...