The-Open-Book VS microk8s

Have you seen the "Open Book" project?

https://github.com/joeycastillo/The-Open-Book

Open book project https://github.com/joeycastillo/The-Open-Book

If you want to get all custom, you could build an e-reader https://github.com/joeycastillo/The-Open-Book https://www.tomshardware.com/news/raspberry-pi-pico-powered-open-source-ebook-reader

>I really wish I could have an e-reader, but again, I don't want to spend money on things that will lock me into a single vendor indefinitely and might just arbitrarily go away.

https://github.com/joeycastillo/The-Open-Book

This may be up your alley.

It's not a commercial off the shelf product, but the Open Book uses a 4.2" screen. There are other devices you can find on places like AliBaba that are kinda small. However, in general you won't find a name brand commercial ereader under 6" that isn't ina phone body. There were a couple at 5" back-when but the industry really settled on 6" as the common base size.

This is very useful to see examples of how people have used APIs that are either poorly documented or not at all. Or even that are well documented, really. Going from docs to code is not always straightforward.

To give you just one example, recently I've been using it to find how people have written code to interface with e-ink displays. I usually have the datasheet which lists all the commands the protocol support, but building it all into a valid startup sequence of ~20 commands to activate the display is left as an exercise for the reader.

So the docs will look like this: https://www.waveshare.com/w/upload/6/6a/4.2inch-e-paper-spec...

And what I need is a sequence like this: https://github.com/joeycastillo/The-Open-Book/blob/5c5054c58...

There is a link to the project early in the article: https://github.com/joeycastillo/The-Open-Book

If you want hands-on practice you should have a running Kubernetes cluster (I used MicroK8s for this tutorial) and Helm (see how to install on Installing Helm tutorial). It is important that you understand the basics of these tools to fully understand.

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.