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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

Introducing acceptance testing

Acceptance testing is a step performed to determine whether the business requirements or contracts are met. It involves black-box testing against a complete system from a user perspective, and a positive result means acceptance of the software delivery. Sometimes also called user acceptance testing (UAT) or end-user testing, it is a phase of the development process where software meets a real-world audience.

Many projects rely on manual steps performed by quality assurers (QAs) or users to verify the functional and non-functional requirements (FRs and NFRs), but still, it's way more reasonable to run them as programmed repeatable operations.

Automated acceptance tests, however, can be considered difficult due to their specifics, as outlined here:

  • User-facing: They need to be written together with a user, which requires an understanding between two worlds—technical and non-technical.
  • Dependencies integration: The tested application...

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