azure VS raspberry-pi-dramble

Wrote a document which explains how limit access to PaaS - https://github.com/groovy-sky/azure/tree/master/paas-vnet-04 . IP is not working in some cases.

There is a problem if vendor is trying to access your storage from the Azure resource, located in the same region as the storage account (more detailed explanation here). Except that everything else seems reasonable.

Yep. Have skipped that part for a better visibility. Have wrote separate article about that - https://github.com/groovy-sky/azure/blob/master/paas-vnet-02/README.md

So was trying to make production-ready setup using Azure Private DNS resolver for accessing Private Endpoints from on-premises. Currently, self-hosted solution is used for that(wrote article about it).

We are using Private Endpoints and conditional forwarder to share access to on-prem. An example of such configuration you can read here - https://github.com/groovy-sky/azure/tree/master/paas-vnet-02 . Recently Microsoft announced which could be used for exactly same reason - https://docs.microsoft.com/en-us/azure/dns/dns-private-resolver-overview

Not for now. I already have wrote in a plain English few articles about this topic (1,2,3) with a more detailed explanation and practical examples (which you run). At least for now, there is nothing left, what I could share in that area. Probably, in the future I will try to find and tell something new about this topic :)

I have a draft of an article about this scenario - https://github.com/groovy-sky/azure/tree/master/paas-vnet-02

A time ago started to learn about resource's protection(even wrote an article about private endpoints). Now want to summarize main technologies/options in one picture. Result you can see below. What do you think? Did I miss something? I know that not every resource/SKU have possibility to use service/private endpoints, which is why used "Try" word.

Special for such use-case wrote instruction how-to use CoreDNS, which is running as container instance, to expand Azure DNS to on-prem - https://github.com/groovy-sky/azure/tree/master/docker-coredns-00

https://www.pidramble.com - but you do need to power the router. 5th port is an uplink

Don't bother. Just put them on an open stack and blow a quiet Noctua fan sideways through the stack. I used to have a four-pi4 cluster ala https://www.pidramble.com and one fan blowing back to front was easily good enough. I also removed the fans from the official PoE HATs since they sounded like rocket engines no matter what I did.

There's no rack, it's simply on the corner of my desk. I haven't made photos of it but it looks pretty much like Jeff Geerling's Dramble: https://www.pidramble.com/

Had a pi 'dramble' just like this one and it worked fine. I ran k3s at the time on it. Since it was a lab experimentation thing, I didn't throw more hardware at it, but I could have likely gotten similar results with a bunch of Vagrant/VirtualBox VMs on one NUC.

Automate the Pi Dramble website I run in my basement with Drupal Pi.

How is latency and stuff? Any slowness that you wouldn't expect from the software that may come from running it on a rpi4? I've been thinking of setting up a few services, but I kinda want to do something like the Pi Dramble, wasn't even aware that a single pi would have the power to run all of these services. Though I'm not actually surprised it does.

A couple years ago when I thought I'd have to get into kubernetes for a living, I built a 4x4GB pi4 cluster with the exact parts list from Jeff Geerling's "dramble" setup (link) and did a bunch of experimentation with k3s as a lightweight cluster solution. Worked pretty amazingly for things like "spin me up 10 more of those things" and for moving things around to upgrade the SD card on the 3rd pi while keeping the services running on the other pi. But I don't need to do kubernetes for a living so the cluster is just sitting here collecting dust powered-down basically.

I see this kind of question asked a lot when people are posting their Kubernetes Pi clusters. The rpi 4 quad core with 4-8GB RAM gives a lot of potential for the price in a kuberenetes setup I feel. I found the pi dramble project interesting, and even more the turing pi using rpi compute modules. Are NUCs really a cheaper alternative for a kubernetes cluster, every time I start try to come up with something I end up with a far more expensive setup and fewer cores. Any hints on viable setups, e.g. replacing 4x POE powered RPI 4's.?

My setup is exactly the same as the top photo on https://www.pidramble.com just with the stack'o'pi zip-tied to the switch so I can move it around without the things sliding around.