Docker Container Basics: An Operations Guide, Part 1 of 3

August 4, 2016 10:40 am Published by -

Docker containers crash into the enterprise…

In the last three years Docker containers have become synonymous for containers and are often confused for some kind of über machine virtualization. By its own admission Docker is trying to make the lives of developers easier with these containers but… has this translated to a simpler environment for techops? The jury is still out on that question nevertheless, the most obvious gap for techops is generally still a knowledge gap.

In fact as soon as the subject of Docker comes up the marketecture starts to fly and phrases like Google infrastructure, infrastructure as code, continuous deployment and DevOps are soon to follow but none of it really spells out why operations should adopt containers. For those not initiated in the philosophies of Gene Kim, Martin Fowler, and the brotherhood of Googlers these oft uttered phrases leads techops to ask why is this better than the virtual infrastructure they already have. If your techops team is proactive then they will try to get in front of this Docker thing and will try to mold these containers into the überVM or maybe just try using them as a stand in for an on premise “ami”.

While spending the last 2+ years training and consulting for organizations who are adopting Docker into their ecosystems I have witnessed all these reactions from techops and more. So with Docker making this year’s theme one of expanding their ecosystem into the “enterprise” I thought it would be useful to go back to the basics for those techops teams that want to catch the wave before it crashes over them. This three part post will spell out why operations should use containers, how to get going with a test bed of your very own, and how operations can participate in the containerization process.

So why containers?

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This post was written by Joshua Bradley