Book Image

Continuous Delivery with Docker and Jenkins - Second Edition

By : Rafał Leszko
Book Image

Continuous Delivery with Docker and Jenkins - Second Edition

By: Rafał Leszko

Overview of this book

Continuous Delivery with Docker and Jenkins, Second Edition will explain the advantages of combining Jenkins and Docker to improve the continuous integration and delivery process of an 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 Kubernetes. Next, you will get to know how to deploy applications using Docker images and testing them with Jenkins. Towards the end, the book will touch base with missing parts of the CD pipeline, which are the environments and infrastructure, application versioning, and nonfunctional testing. By the end of the book, you will be enhancing the DevOps workflow by integrating the functionalities of Docker and Jenkins.
Table of Contents (18 chapters)
Title Page
Dedication
About Packt
Contributors
Preface
Index

Nonfunctional testing


We learned a lot about functional requirements and automated acceptance testing in the previous chapters. But, 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? We will 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 unable to bear the load of a sudden increase in the number of users. In one of his books, Jakob Nielsen, writes that one 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 just because of its performance. Taking it into consideration, nonfunctional testing is as important as functional testing.

To cut a long story...