Book Image

Learning Docker - Second Edition

By : Vinod Singh, Pethuru Raj, Jeeva S. Chelladhurai
Book Image

Learning Docker - Second Edition

By: Vinod Singh, Pethuru Raj, Jeeva S. Chelladhurai

Overview of this book

Docker is an open source containerization engine that offers a simple and faster way for developing and running software. Docker containers wrap software in a complete filesystem that contains everything it needs to run, enabling any application to be run anywhere – this flexibily and portabily means that you can run apps in the cloud, on virtual machines, or on dedicated servers. This book will give you a tour of the new features of Docker and help you get started with Docker by building and deploying a simple application. It will walk you through the commands required to manage Docker images and containers. You’ll be shown how to download new images, run containers, list the containers running on the Docker host, and kill them. You’ll learn how to leverage Docker’s volumes feature to share data between the Docker host and its containers – this data management feature is also useful for persistent data. This book also covers how to orchestrate containers using Docker compose, debug containers, and secure containers using the AppArmor and SELinux security modules.
Table of Contents (13 chapters)

Summary

The potential benefits of containerization are being discovered across the breadth and the length of software engineering. Previously, testing sophisticated software systems involved a number of expensive and hard-to-manage server modules and clusters. Considering the costs and complexities involved, most of the software testing is accomplished using mocking procedures and stubs. All of this is going to end for good with the maturity of the Docker technology. The openness and flexibility of Docker enable it to work seamlessly with other technologies to substantially reduce the testing time and complexity.

For a long time, the leading ways of testing software systems included mocking, dependency, injection, and so on. Usually, these mandate creating many sophisticated abstractions in the code. The current practice for developing and running test cases against an application is actually done on stubs rather...