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Learning Docker

You're reading from   Learning Docker Build, ship, and scale faster

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Product type Paperback
Published in May 2017
Publisher
ISBN-13 9781786462923
Length 300 pages
Edition 2nd Edition
Tools
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Authors (3):
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Jeeva S. Chelladhurai Jeeva S. Chelladhurai
Author Profile Icon Jeeva S. Chelladhurai
Jeeva S. Chelladhurai
Pethuru Raj Pethuru Raj
Author Profile Icon Pethuru Raj
Pethuru Raj
Vinod Singh Vinod Singh
Author Profile Icon Vinod Singh
Vinod Singh
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Toc

Table of Contents (13) Chapters Close

Preface 1. Getting Started with Docker 2. Handling Docker Containers FREE CHAPTER 3. Building Images 4. Publishing Images 5. Running Your Private Docker Infrastructure 6. Running Services in a Container 7. Sharing Data with Containers 8. Orchestrating Containers 9. Testing with Docker 10. Debugging Containers 11. Securing Docker Containers 12. The Docker Platform – Distinct Capabilities and Use Cases

Summary

In a way, Docker containers are the lightweight, loosely-coupled, and nimble cousins of VMs. As elucidated before, containers enable packaging an application along with all of its dependencies compactly and shipping it elsewhere, running it smoothly in development, test, and production environments. Docker harnesses some powerful kernel-level features intelligently and provides a growing ecosystem of tools for realizing and running containers in an automated fashion. The end result is a potential game-changer for distributed application developers and system administrators. With hybrid clouds as the toast of worldwide enterprises for their IT needs, the Docker platform is a blessing in disguise for enterprise IT teams. Containers are typical sandboxes, isolating processes from each other. Docker does a nice and neat job of advancing the containerization paradigm for a slew of purposes such as lightweight packaging, frictionless shipping, faster deployment, and more rapid delivery of software applications.

The next chapter throws more light on the operational aspects of Docker containers, especially the sagacious handling of containers in order to produce real-world Dockerized applications.

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