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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
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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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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

Data volume

Data volume is the fundamental building block of data sharing in the Docker environment. Before getting into the details of data sharing, it is imperative to get a good understanding of the data volume concept. Until now, all the files that we create in an image or a container is part and parcel of the union filesystem. The container's union filesystem perishes along with the container. In other words, when the container is removed, its filesystem is also automatically removed. However, the enterprise-grade applications must persist data and the container's filesystem will not render itself for such a requirement.

The Docker ecosystem, however, elegantly addresses this issue with the data volume concept. Data volume is essentially a part of the Docker host filesystem and it simply gets mounted inside the container. Optionally, you can use other advanced filesystems such as Flocker and GlusterFS...

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