24 Sep 2015
I’ll let you in on a secret: all that DevOps cloud stuff that goes into getting my applications into the world is still a bit of a mystery to me. But, over time I’ve come to realize that understanding the ins and outs of large scale machine provisioning and application deployment is important knowledge for a developer to have. It’s akin to being a professional musician. Of course you need know how to play your instrument. But, if you don’t understand how a recording studio works or how you fit into a symphony orchestra, you’re going to have a hard time working in such environments.
In the world of software development getting your code into our very big world is just as important as making it. DevOps counts and it counts a lot.
So, in the spirit of bridging the gap between Dev and Ops I am going to present container technology to you from the ground up. Why containers? Because there is strong evidence to suggest that containers are the next step in machine abstraction: making a computer a place and no longer a thing. Understanding containers is a journey that we’ll take together.
In this article I am going to cover the concepts behind containerization. I am going to cover how a container differs from a virtual machine. I am going to go into the logic behind containers construction as well as how containers fit into application architecture. I’ll discussion how lightweight versions of the Linux operating system fits into the container ecosystem. I’ll discuss using images to create reusable containers. Lastly I’ll cover how clusters of containers allow your applications to scale quickly.
In later articles I’ll show you the step by step process to containerize a sample application and how to create a host cluster for your application’s containers. Also, I’ll show you how to use a Deis to deploy the sample application to a VM on your local system as well as a variety of cloud providers.
So let’s get started.