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Continuous Delivery with Docker and Jenkins, 3rd Edition

Continuous Delivery with Docker and Jenkins, 3rd Edition

By : Leszko
4.5 (12)
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Continuous Delivery with Docker and Jenkins, 3rd Edition

Continuous Delivery with Docker and Jenkins, 3rd Edition

4.5 (12)
By: 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)
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1
Section 1 – Setting Up the Environment
5
Section 2 – Architecting and Testing an Application
9
Section 3 – Deploying an Application

Docker cleanup

Throughout this chapter, we have created a number of containers and images. This is, however, only a small part of what you will see in real-life scenarios. Even when containers are not running, they need to be stored on the Docker host. This can quickly result in exceeding the storage space and stopping the machine. How can we approach this concern?

Cleaning up containers

First, let's look at the containers that are stored on our machine. Here are the steps we need to follow:

  1. To print all the containers (irrespective of their state), we can use the docker ps -a command, as follows:
    $ docker ps -a
    CONTAINER ID IMAGE  COMMAND           STATUS  PORTS  NAMES
    95c2d6c4424e tomcat "catalina.sh run" Up 5 minutes 8080/tcp tomcat
    a9e0df194f1f ubuntu:20.04 "/bin/bash" Exited         jolly_archimedes...
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