Kubernetes (aka. k8s) is usually described as a container manager, meaning that it is used to run and delete container on top of an any infrastructure (physique, virtual, cloud).
Describe like this it seems pretty simple and boring : “Yeah, another management layer …”
But when you look at how it works, why it is used, what new functionalities and concepts it brings, things get definitely more interesting.
I’ve seen the virtualisation changing the way we used physical hardware, I’ve seen the cloud changing how we think about infrastructure and I believe containerisation as a global concept will change how we run application.
It’s the missing part and the logical evolution of IT. And Kubernetes (or others) bring what is missing to the cloud revolution, it bring an abstraction layer on top of any infrastructure that will help organisation to gather physical and/or cloud providers as one global resource.
Kubernetes is a very new technology, it was release in stable version 1.0 in July 21, 2015. It’s today in version 1.4 with a very active community and a lot of enthusiasm from IT pro.
To understand how things works I usually like to get my hands on and play with the solution to understand the different functionalities and concepts.
In this series of articles we will see three different ways to test k8s, locally, on AWS and GCP.