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Beginning DevOps with Docker

You're reading from   Beginning DevOps with Docker Automate the deployment of your environment with the power of the Docker toolchain

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781789532401
Length 96 pages
Edition 1st Edition
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Author (1):
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Joseph Muli Joseph Muli
Author Profile Icon Joseph Muli
Joseph Muli
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Toc

Virtualization versus Containerization

This block diagram gives an overview of a typical virtual machine setup:

Virtualization versus Containerization

In virtual machines, the physical hardware is abstracted, therefore we have many servers running on one server. A hypervisor helps do this.

Virtual machines do sometimes take time to start up and are expensive in capacity (they can be GBs in size), although the greatest advantage they have over containers is the ability to run different Linux distributions such as CentOS instead of just Ubuntu:

Virtualization versus Containerization

In containerization, it is only the app layer (where code and dependencies are packaged) that is abstracted, making it possible for many containers to run on the same OS kernel but on separate user space.

Containers use less space and boot fast. This makes development easier, since you can delete and start up containers on the fly without considering how much server or developer working space you have.

Let's begin the lesson with a quick overview on how Docker comes into play in a DevOps workflow and the Docker environment.

You have been reading a chapter from
Beginning DevOps with Docker
Published in: May 2018
Publisher: Packt
ISBN-13: 9781789532401
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