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

Writing acceptance tests

So far, we used the curl command to perform a suite of acceptance tests. That is, obviously, a considerable simplification. Technically speaking, if we write a REpresentational State Transfer (REST) web service, we could write all black-box tests as a big script with a number of curl calls. However, this solution would be very difficult to read, understand, and maintain. What's more, the script would be completely incomprehensible to non-technical, business-related users. How do we address this issue and create tests with a good structure that are readable by users and meet their fundamental goal: automatically checking that the system is as expected? I will answer this question throughout this section.

Writing user-facing tests

Acceptance tests are written with users and should be comprehensible to users. This is why the choice of a method for writing them depends on who the customer is.

For example, imagine a purely technical person. If you...