Easiest way actually is probably editing default.nix

            nix-csi = {
              namespace = "nix-csi";
              image = imageRef; # comment this out
              cache.storageClassName = "some nice CSI";
              authorizedKeys = [
                "YOUR KEY HERE :) (Only required if you wanna push to the cluster cache)"
              ];
              ctest = {
                enable = false;
                replicas = 0;
              };
            };

Then running

nix run --file . kubenixEval.deploymentScript -- --prune --yes

Erik: I reworked where patched Lix updates paths and made it update recursively so now it sucks less ™️

https://github.com/Lillecarl/lix/commit/9ac72bbd0c7802ca83a907d1fec135f31aab6d24

I'm gonna add a script on a timer to the CSI pods that runs nix path-info --all | nix copy --to nix-cache. This way the cache will always hold any storePaths alive in the cluster while not requiring any complex bookkeeping (nix copy acts as a cache refresher) 😄

It's shaping up pretty darn nice, especially the feature of using the CSI pods as a build farm

In reply to @lillecarl:matrix.org
I'm building my own Hetzner Kubernetes (ClusterAPI managed) cluster using some of the Nix Kubernetes tools I've been working on (nix-csi and by proxy dinix, easykubenix). The goal of the cluster is to be the cheapest shit you could possibly imagine meaning no LoadBalancers. To do this I had to write a little Python thing that creates ipaddresspools for the MetalLB(controller no speaker) to assign service IP's from the nodes externalip list. I expanded it to split the IPv6 /64 you get from Hetzner into two and assign one to services and one to pods. Anyways to deploy this Python script I used nix-csi so here's a public example of how it works
commit Since the cluster is x86 and arm I had to build the script for both x86 and arm which was no problem (nix-csi picks arch by where it's scheduled) 😄) Here's the nix-csi magic
Aye it also makes DNSEndpoint resources from the control-plane nodes IP's so I don't need an LB there either
Disclaimer: The Python script is a collaboration with AI