Metrics are very important in your Kubernetes cluster because you need them to monitor the pod resource usage. You also need metrics to trigger an autoscale using an Horizontal Pod Autoscaler (HPA). Metrics Server provides CPU and memory metrics so you can see them in Kubernetes Dashboard’s fancy graphs.
Kubernetes: Up and Running, as the name suggests, is about Kubernetes. The book’s second edition was released in October 2019. Latest stable release of Kubernetes in October 2019 was 1.15. At the time of writing the latest stable version is 1.20 so the book is definitely due for an update.
There are many tools out there to provision single-node Kubernetes clusters but kubeadm is the way to go for a production-like set up. Although it is more difficult to create a cluster with kubeadm, with its configuration options you can tweak the cluster to your needs. By following this post you can easily create a Single-node Kubernetes Cluster using kubeadm on Ubuntu 20.04.
There are plenty of Kubernetes distributions available that can be used to install Kubernetes locally. They tend to use minimal resources which is ideal. Question is what’s the best Kubernetes distribution for local use?
This post contains benchmarks and reviews of the following Kubernetes distributions:
Continue reading What’s the best Kubernetes distribution for local environments?I started working with Kubernetes in 2018 (about 3 years ago). In 2019, I successfully migrated a production application into an AWS Elastic Kubernetes Service (EKS) cluster. I’ve been managing that cluster for more than 2 years. All this made me confident that it would be easy for me to pass Certified Kubernetes Administrator (CKA) exam.
I’ve recently got a Raspberry Pi 4 Model B 8GB. I wanted to have one just to try running Kubernetes on Raspberry Pi. Most resources on the web seem to be for a huge cluster with a dozen nodes but I wanted to do it with a single node.
As the operating system I chose Ubuntu because of its Pi support even though I prefer Red Hat based distros.
Continue reading Single-node Kubernetes on Raspberry Pi