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 REST web service, then we could write all black-box tests as a big script with a number of "curl" calls. This solution would be, however, very difficult to read, understand, and maintain. What's more, the script would be completely incomprehensible by non-technical, business-related users. How to address this issue and create tests with a good structure, readable by users, and meet its fundamental goal: automatically checking if the system is as expected? I will answer this question throughout this section.
Continuous Delivery with Docker and Jenkins
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Continuous Delivery with Docker and Jenkins
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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.
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Current Title:
Continuous Delivery with Docker and Jenkins
Table of Contents (10 chapters)
Preface
Free Chapter
Introducing Continuous Delivery
Introducing Docker
Configuring Jenkins
Continuous Integration Pipeline
Automated Acceptance Testing
Configuration Management with Ansible
Continuous Delivery Pipeline
Clustering with Docker Swarm
Advanced Continuous Delivery
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