Demystifying the Kubernetes Iceberg: Part 1
It represents a vast iceberg, where on the top you have some of the simplest concepts of Kubernetes, and as you go below and underwater, you dive deeper into more advanced Kubernetes subjects. This is the picture:
When I saw it, I thought it was brilliant. Kubernetes is not easy to start with, and it is precisely like an iceberg. The more you learn, the more you realize you have even more to learn.
In this series of articles, I aim to go over each of the concepts present in the iceberg and explain them in the simplest way possible. Since the explanations will not be exhaustive, I will add additional links to my sources to continue the learning outside of my blog.
NOTE: Even though I have been working with Kubernetes for almost three years at the time of this writing, I still don’t consider myself a Kubernetes expert. In fact, I was also not familiar with some of the more advanced concepts here, so I had to do some learning myself. And this is one of the reasons for writing this series of articles. So that we can learn and grow together, both my readers and me.
Docker is a container runtime. It was introduced to the world in a lightning talk at PyCon US 2013, previously being the backbone of a PaaS company called dotCloud.
