Book Image

Continuous Delivery with Docker and Jenkins

By : Rafał Leszko
Book Image

Continuous Delivery with Docker and Jenkins

By: Rafał Leszko

Overview of this book

The combination of Docker and Jenkins improves your Continuous Delivery pipeline using fewer resources. It also helps you scale up your builds, automate tasks and speed up Jenkins performance with the benefits of Docker containerization. This book will explain the advantages of combining Jenkins and Docker to improve the continuous integration and delivery process of app development. It will start with setting up a Docker server and configuring Jenkins on it. It will then provide steps to build applications on Docker files and integrate them with Jenkins using continuous delivery processes such as continuous integration, automated acceptance testing, and configuration management. Moving on you will learn how to ensure quick application deployment with Docker containers along with scaling Jenkins using Docker Swarm. Next, you will get to know how to deploy applications using Docker images and testing them with Jenkins. By the end of the book, you will be enhancing the DevOps workflow by integrating the functionalities of Docker and Jenkins.
Table of Contents (10 chapters)

Using Docker volumes

Imagine that you would like to run the database as a container. You can start such a container and enter the data. Where is it stored? What happens when you stop the container or remove it? You can start the new one, but the database will be empty again. Unless it's your testing environment, you don't expect such a scenario.

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

Docker volume enables the persistence and sharing of the container's data. Volumes also clearly separate the processing from the data.

Let's start with an example and specify the volume with the -v <host_path>:<container_path> option and connect to the container:

$ docker run -i ...