🐇 One of those rabbit-holes I kept evading: Improving my local k3d setup. Trusted certificates, easier FQDNs. And automating all of it using Taskfile.
#kubernetes #k3d #cert-manager #coredns
https://www.tibobeijen.nl/2025/03/24/east-west-north-south-fix-local-cluster-routes/
Just messing round with using #k3d jupyter to visualize particle data loaded via #yt.
(notebook at https://github.com/chrishavlin/yt_scratch/blob/master/notebooks/general_scratch/yt_k3d.ipynb)
I'm unable to create a local #K3s instance with #K3d on my #ArchLinux with Rootless #Podman - Does anyone have a hint how I could make that work? https://github.com/k3d-io/k3d/issues/1429
With Kind I would be able to spin up a local Kubernetes instance and Rootless Podman, but without support for ephemeral storage, which breaks countless workloads.
What did you do k3d cluster create --verbose --trace, like described here: https://k3d.io/v5.6.3/usage/advanced/podman/#using-podman What did you expect to happen I expect to have a running k3s clu...
I've been playing around with #k3s and #k3d and finally figured out how to install a specific k3s version. I wanted to upgrade from 1.27 to 1.29.
k3d cluster create has an --image option. It doesn't mention in help but you need to pass the Dockerhub tag for the specific version you want to install.
Thought I needed to pass the path to the local file I downloaded and that didn't work.
Já vi vários blogs sobre criar um cluster no #k3d, mas sempre pego erros de api do kubernetes. Alguns apps que instalo sempre falam que não conseguiram chegar na api do k8s.
Uso com frequência esse comando
k3d cluster create estudos --api-port 6550 -p "8080:80@loadbalancer" --agents 2