Throughout my career there has always been a disconnect between the documentation and the practical implementation. The Kubernetes (k8s) ecosystem is no stranger to this problem. This guide is a simple approach to installing Kubernetes and some REALLY useful tools. We will walk through installing all the following.

Monitoring and gathering metrics on your systems is an essential part of the lifecycle of any machine, application, or cluster. It provides us with the insight needed to be more proactive and less reactive to what our systems are doing. Gathering and viewing numerical data, like CPU load or memory usage, is something that is done with ease and looks great in a graph, but what about the massive amounts of log data out there? Historically, this was not something that you could easily put into a graph and it’s not always easily correlated with other events.

For the better part of a decade, we developers and operators have relied on the Docker Hub and their image repository for our needs. This has been great for the growth of the technology, but this growth has necessitated a change to how Docker makes money. As such, Docker is rate limiting anonymous and authenticated users.