piku VS azure-k3s-cluster

I like it. I wrote Piku (https://github.com/piku/piku) with much the same interest in fixing some of my pains, so I get where you're coming from with this. Will drop it into one of my current projects to build ESP32 binaries :)

I never had any serious issue with SD cards since the Pi 2B (and I've kept Pis running for years).

Anyway, for those wanting to deploy more generic apps, that is why I initially wrote https://github.com/piku/piku - you still have to flash the OS (and rpi-imager does that with sane defaults these days), but once you're done you have Heroku-like deployments for any language runtime you install on the Pi.

I also have https://github.com/rcarmo/ground-init, a cloud-init like shim that simplifies setting up machines (I'm a big fan of cloud-init, but since Raspbian doesn't support it and Ubuntu on ARM requires some fiddling to make it work I decided it wasn't too hard to roll my own).

(I probably should look into glueing that into rpi-imager, but there is are only so many hours in the day...)

I automated that away a long time ago: https://github.com/piku/piku/blob/master/piku.py#L814

Piku https://github.com/piku/piku

So, stupid question: why couldn't I just use the 'baremetal' OS provided by Hetzner, install Postgres, Redis & node, create a separate db for each app, and run each app with https://github.com/piku/piku on a different port? For backups, I'll setup crontab to dump dbs locally and to S3.

piku?

Piku https://github.com/piku/piku

If anyone wants a ready-to-go Azure template to play around, here you go:

https://github.com/rcarmo/azure-k3s-cluster

(I tweak this every now and then since I both used it as a training sample for my customers/peers and as a way to run my own batch processes as cheap as possible)

The runtime controller is uwsgi, which acts as supervisor for all processes of an app _or_ embeds the right interpreter-it's pretty much perfect for that, as it also has a cron scheduler and an on-demand, fire-up-an-interpreter-upon-request mode.

As to the k3s stuff, it's all here: https://github.com/rcarmo/azure-k3s-cluster. I update this from time to time as I occasionally nuke the entire cluster and rebuild it (I use AKS for non-hobby workloads, but a single master is just fine for most of my stuff).