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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

For enterprise-scale distributed applications to be distinct in their operations and outputs, data is the most important instrument and ingredient. With IT containerization, the journey takes off in a brisk and bright fashion. IT as well as business software solutions are intelligently containerized through the smart leverage of the Docker Engine. However, the original instigation is the need for a faster and flawless realization of application-aware Docker containers, and hence, the data is tightly coupled with the application within the container. However, this closeness brings in some real risks. If the application collapses, then the data is also gone. Also, multiple applications might depend on the same data and hence, data has to be shared across.

In this chapter, we discussed the capabilities of the Docker Engine in facilitating the seamless data sharing between the Docker host and container as well...

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