

-
K3s' go.mod[0] is insane.
[0] https://github.com/k3s-io/k3s/blob/master/go.mod
-
CodeRabbit
CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
-
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)
-
And while k3s sounds easy, it's not after even a slightly larger scale.
If one willing to have in-house k8s today I would recommend https://deckhouse.io/ (I'm not affiliated with them)
-
On my M1 Pro system, I have nothing but positive things to say about the experience of using Colima (https://github.com/abiosoft/colima). Quick to set up and fast to use.
-
If you're just messing around, just use kind (https://kind.sigs.k8s.io) or minikube if you want VMs (https://minikube.sigs.k8s.io). Both work on ARM-based platforms.
You can also use k3s; it's hella easy to get started with and it works great.
-
If you're just messing around, just use kind (https://kind.sigs.k8s.io) or minikube if you want VMs (https://minikube.sigs.k8s.io). Both work on ARM-based platforms.
You can also use k3s; it's hella easy to get started with and it works great.
-
I've been using a 3 nuc (actually Ryzen devices) k3s on SuSE MicroOS https://microos.opensuse.org/ for my homelab for a while, and I really like it. They made some really nice decisions on which parts of k8s to trim down and which Networking / LB / Ingress to use.
The option to use sqlite in place of etcd on an even lighter single node setup makes it super interesting for even lighter weight homelab container environment setups.
I even use it with Longhorn https://longhorn.io/ for shared block storage on the mini cluster.
If anyone uses it with MicroOS, just make sure you switch to kured https://kured.dev/ for the transactional-updates reboot method.
I'd love to compare it against Talos https://www.talos.dev/ but their lack of support for a persistent storage partition (only separate storage device) really hurts most small home / office usage I'd want to try.
-
Nutrient
Nutrient – The #1 PDF SDK Library, trusted by 10K+ developers. Other PDF SDKs promise a lot - then break. Laggy scrolling, poor mobile UX, tons of bugs, and lack of support cost you endless frustrations. Nutrient’s SDK handles billion-page workloads - so you don’t have to debug PDFs. Used by ~1 billion end users in more than 150 different countries.
-
I've been using a 3 nuc (actually Ryzen devices) k3s on SuSE MicroOS https://microos.opensuse.org/ for my homelab for a while, and I really like it. They made some really nice decisions on which parts of k8s to trim down and which Networking / LB / Ingress to use.
The option to use sqlite in place of etcd on an even lighter single node setup makes it super interesting for even lighter weight homelab container environment setups.
I even use it with Longhorn https://longhorn.io/ for shared block storage on the mini cluster.
If anyone uses it with MicroOS, just make sure you switch to kured https://kured.dev/ for the transactional-updates reboot method.
I'd love to compare it against Talos https://www.talos.dev/ but their lack of support for a persistent storage partition (only separate storage device) really hurts most small home / office usage I'd want to try.
-
I've been using a 3 nuc (actually Ryzen devices) k3s on SuSE MicroOS https://microos.opensuse.org/ for my homelab for a while, and I really like it. They made some really nice decisions on which parts of k8s to trim down and which Networking / LB / Ingress to use.
The option to use sqlite in place of etcd on an even lighter single node setup makes it super interesting for even lighter weight homelab container environment setups.
I even use it with Longhorn https://longhorn.io/ for shared block storage on the mini cluster.
If anyone uses it with MicroOS, just make sure you switch to kured https://kured.dev/ for the transactional-updates reboot method.
I'd love to compare it against Talos https://www.talos.dev/ but their lack of support for a persistent storage partition (only separate storage device) really hurts most small home / office usage I'd want to try.
-
So, please please solve this request here: https://github.com/rancher-sandbox/rancher-desktop/issues/18...
-
I've been eyeing Kairos [1] which is an OS lifecycle management system for k3s which looks like a nice way to deploy k3s.
[1]: https://github.com/kairos-io/kairos
-
systemk
Systemk is a systemd backend for the virtual-kubelet. Instead of starting containers, you start systemd units.
-
-
If you use longhorn, make sure to enable the network policies when installing the helm chart. These are (for some odd reason) disabled by default, which means ANY pod running on your cluster has full access to all the longhorn-manager, API, and all your volumes
https://github.com/longhorn/charts/blob/v1.5.x/charts/longho...
-
hetzner-k3s
The easiest and fastest way to create and manage Kubernetes clusters in Hetzner Cloud using the lightweight distribution k3s by Rancher.
https://github.com/vitobotta/hetzner-k3s
Kubernetes on Hetzner Cloud the easiest way
-
If you want to get an HA k3s cluster going quickly on your cloud-provider of choice: https://github.com/cluster-api-provider-k3s/cluster-api-k3s
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives