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)

Nonfunctional testing

We learned a lot about functional requirements and automated acceptance testing in the previous chapter. However, what should we do with nonfunctional requirements? Or even more challenging, what if there are no requirements? Should we skip them at all in the Continuous Delivery process? Let's answer these questions throughout this section.

Nonfunctional aspects of the software are always important, because they can cause a significant risk to the operation of the system.

For example, many applications fail, because they are not able to bear the load of a sudden increase in the number of users. In the book Usability Engineering, Jakob Nielsen, writes that 1.0 second is about the limit for the user's flow of thought to stay uninterrupted. Imagine that our system, with the growing load, starts to exceed that limit. Users can stop using the service...