Lots of good points, but one aspect that people haven’t mentioned yet is that Taiwan is part of the “first island chain”
https://en.wikipedia.org/wiki/Island_chain_strategy
If the PRC conquers Taiwan, then it makes it much harder for the west to blockade the PRC in future conflicts.
Though technically, it is much more important to control the strait of Malacca than Taiwan.
Fork of Organic maps, both are still OSM
Some hospitals are horribly staffed like this. In Sweden I had this problem until I changed to a different (government-owned) GP.
Your stuff is more likely to get scanned sitting in a VPS with no firewall than behind a firewall on a home network
Yeah Stalwart seems to have a lot of momentum, I’ll probably be setting up a server with my kubernetes+ceph cluster this month.
Check out NixOS. It can build qcow images from scratch for you to import into proxmox
https://github.com/nix-community/nixos-generators
I have 8 bare-metal servers and I do everything automated with NixOS, I rarely ever access the servers directly.
Here are the nixos configs for my DHCP server and kubernetes servers that you can use as a base.
https://codeberg.org/jlh/h5b/src/branch/main/porygonz
https://codeberg.org/jlh/h5b/src/branch/main/nodes
For what it’s worth, Ive been using Ansible off and on at work for 8 years, and I think it’s pretty outdated and clunky these days, there are much smarter ways to manage workloads such as kubernetes, cloud-init, terraform, and NixOS. If you don’t want to get into Kubernetes then definitely learn NixOS.
not to mention there are 48 and 64gb dimms out now too that work with basically all alder lake atoms
PHP does actually scale better than something like Lemmy which is written in rust
But sure, you can act like you know more than the Nextcloud devs
Isn’t Opencloud just extended Nextcloud? (Still PHP)
Also, nextcloud core components are written in Rust, the PHP just handles incoming requests.
https://nextcloud.com/blog/nextcloud-faster-than-ever-introducing-files-high-performance-back-end/
Never show your R^2
Buy used Samsung pm983s on ebay. Super cheap, super fast, and they have power-loss protection. Only downside is that they’re M.2 22110, not m.2 2280. There’s also a bunch of cheap Samsung and hgst u.2 drives on eBay, but you’ll need an adapter.
Well, my point was to explain how Kubernetes simplifies devops to the point of being simpler than most proxmox or Ansible setups. That’s especially true if you have a platform/operations team managing the cluster for you.
Some more details missed here would be that external-dns and cert-manager operators usually handle the DNS records and certs for you in k8s, you just have to specify the hostname in the HTTPRoute/VirtualService and in the Certificate. For storage, ansible probably simplifies some of this away, but LVM is likely more manual to set up and manage than pointing a PVC at a storageclass and saying “100Gi”.
Either way, I appreciate the discussion, it’s always good to compare notes on production setups. No hard feelings even in the case that we disagree on things. I’m a Red Hat Openshift consultant myself these days, working on my RHCE, so maybe we’ll cross paths some day in a Red Hat environment!
You’re not using a reverse proxy on rhel, so you’ll need to also make sure that the ports you want are available, and set up a dns record for it, and set up certbot.
On k8s, I believe istio gateways are meant to be reused across services. You’re using a reverse proxy so the ports will already be open, so no need to use firewall-cmd. What would be wrong with the Service included in the elasticsearch chart?
It’s also worth looking at the day 2 implications.
For backups you’re looking at bespoke cronjobs to either rsync your database or clone your entire 100gb disk image, compared to either using velero or backing up your underlying storage.
For updates, you need to run system updates manually on rhel, likely requiring a full reboot of the node, while in kubernetes, renovate can handle rolling updates in the background with minimal downtime. Not to mention the process required to find a new repo when rhel 11 comes out.
There’s much more tooling for containerd containers than there is for LXC
I have 33 database servers in my homelab across 11 postgres clusters, all with automated barman backups to S3.
Here is the entire config for the db cluster that runs my Lemmy instance
This stuff is all automated these days.
Yeah I’m not saying everybody has to go and delete their infra, I just think that all new production environments should be k8s by default.
The production-scale Grafana LGTM stack only runs on Kubernetes fwiw. Docker and VMs are not supported. I’m a bit surprised that Kubernetes wouldn’t have enough availability to be able to co-locate your general workloads and your observability stack, but that’s totally fair to segment those workloads.
I’ve heard the argument that “kubernetes has more moving parts” a lot, and I think that is a misunderstanding. At a base level, all computers have infinite moving parts. QEMU has a lot of moving parts, containerd has a lot of moving parts. The reason why people use kubernetes is that all of those moving parts are automated and abstracted away to reduce the daily cognitive load for us operations folk. As an example, I don’t run manual updates for minor versions in my homelab. I have a k8s CronJob that runs renovate, which goes and updates my Deployments in git, and ArgoCD automatically deploys the changes. Technically that’s a lot of moving parts to use, but it saves me a lot of manual work and thinking, and turns my whole homelab into a sort of automated cloud service that I can go a month without thinking about.
I’m not sure if container break-out attacks are a reasonable concern for homelabs. See the relatively minor concern in the announcement I made as an Unraid employee last year when Leaky Vessels happened. Keep in mind that containerd uses cgroups under the hood.
Yeah, apparmor/selinux isn’t very popular in the k8s space. I think it’s easy enough to use them, plenty of documentation out there; but Openshift/okd is the only distribution that runs it out of the box.
Yeah, that’s fair. I have set up Openshift Virtualization for customers using 3rd party appliances. I’ve even worked on some projects where a 3rd party appliance is part of the original spec for the cluster, so installing Openshift Virtualization to run VMs is part of the day 1 installation of the Kubernetes cluster.
Sure!
I haven’t used quadlets yet, but I did set up a few systemd services for containers back in the day before quadlets came out. I also used to use docker compose back in 2017/2018.
Docker compose and Kubernetes are very similar as a homelab admin. Docker compose syntax is a little less verbose, and it has some shortcuts for storage and networking. But that also means it’s less flexible if you are doing more complex things. Docker compose doesn’t start containers on boot by default I think(?) which is pretty bad for application hosting. Docker-compose has no way of automatically deploying from git like ArgoCD does.
Kubernetes also has a lot of self-healing automation, like health checks that can either disable the load balancer and/or restart the container if an app is failing, automatic killing of containers when resources are low, preventing the scheduling of new containers when resources are low, gradual roll-out of containers so that the old version of a container doesn’t get killed until the new version is up and healthy (helpful in case the new config is broken), mounting secrets as files in a container, and automatic retry on failed containers.
There’s also a lot of ubiquitous automation tools in the Kubernetes space, like cert-manager for setting up certificates (both ACME and local CA), Ingress for setting up reverse proxy, CNPG for setting up postgres clusters with automated backups, and first-class instrumentation/integration with prometheus and loki (both were designed for kubernetes first).
The main downsides with Kubernetes in a homelab is that there is about a 1-2GiB RAM overhead for small clusters, and most documentation and examples are written for docker-compose, so you have to convert apps into a Deployment (you get used to writing deployments for new apps though). I would say installing things like Ingress or CNPG is probably easier than installing similar reverse-proxy automations on Docker-compose, though.
AI