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)

Docker container states

Every application we've run so far was supposed to do some work and stop. For example, we've printed Hello from Docker! and exited. There are, however, applications that should run continuously such as services. To run a container in the background, we can use the -d (--detach) option. Let's try it with the ubuntu image:

$ docker run -d -t ubuntu:16.04

This command started the Ubuntu container but did not attach the console to it. We can see that it's running using the following command:

$ docker ps
CONTAINER ID IMAGE COMMAND STATUS PORTS NAMES
95f29bfbaadc ubuntu:16.04 "/bin/bash" Up 5 seconds kickass_stonebraker

This command prints all containers that are in the running state. What about our old, already-exited containers? We can find them by printing all containers:

$ docker ps -a
CONTAINER ID IMAGE COMMAND...