RIOT VS microk8s

RIOT-OS is somewhat popular in academia, it tries to be very approachable but there are still plenty of low hanging fruits with all kinds of hardware and you can use it for software and thesis projects.

Just one example: https://github.com/RIOT-OS/RIOT

You could also take a look at RIOT-OS. http://riot-os.org

RIOT-OS has a lot of unit tests for all the boards they support. And it's written in C. https://github.com/RIOT-OS/RIOT/tree/master/tests

Another option is using RIOT-OS. But that unfortunately doesn't support PWM for the Weact. It does support PWM for the Bluepill and Blackpill STM32f103 and the Nucleo-f446 After quick search. \ https://riot-os.org

If you want to use C, I would suggest trying out RIOT-OS. It's a modern embedded operating system, written in C and focussed on IOT. It works on a lot of different boards. https://github.com/RIOT-OS/RIOT

Alternatively, you can also write your code in an RTOS. They often have scripts that make flashing and debugging easy. One that I personally like, and also supports Arduino, is RIOT-OS.

And install microk8s:

MicroK8s is a lightweight, batteries included Kubernetes distribution by Canonical designed for running edge workloads which also happens to be developer-friendly and a great choice for building your own homelab. The following lab covers how to install and run MicroK8s on your own edge node running Ubuntu 22.04 LTS, deploy the NGINX web service and exposing your NGINX website to the Internet with SSL/TLS enabled using AWS resources included within the Free Tier.

One quick and easy win I can recommend, is microk8s.

I had the same problem (and there's a github issue about this: https://github.com/canonical/microk8s/issues/2186). I swapped to k3s and the usage was half of what microk8s used.

microk8s currently has a showstopping issue that makes it guaranteed to have an irrecoverable failure in HA mode. see https://github.com/canonical/microk8s/issues/3227

k0s is better but also has a lot of bugs. it's the closest to vanilla kubernetes among all the distributions.

> like the simplest GPU support

linux users should be ready to install the nvidia device plugin. if they can't do that, they're never going to succeed in running a gpu accelerated application on their cluster anyway.

> like bootstrapping

in my experience, writing all the bootstrap scripts is painful. but now that there's chatgpt, so much of the drudgery as gone away.

MicroK8S to spin up a Kubernetes cluster

They now power my microk8s/x86 cluster (in addition to my 8-node Raspberry Pi4 ARM64 microk8s cluster), microceph cluster and my LXD cluster, and all are configured with WOL, so I can bring up the cluster from any machine in the homelab, on demand.

We will be using docker and microk8s from Canonical. For running our software during development, we will be using skaffold which is a great tool developed by Google.