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K3D
Run k3s Kubernetes clusters inside Docker
MIT
ABOUT
Full Kubernetes clusters are slow to provision for local iteration, and even k3s still wants a VM or a dedicated node. k3d wraps k3s in Docker so you get a certified Kubernetes API as containers on a laptop or CI runner, then throw the cluster away when the job finishes.
INSTALL
brew install k3dINTEGRATION GUIDE
1. Spin up a multi-node k3s cluster in Docker to test Helm charts for LLM serving
2. Run CI jobs that apply Kubernetes manifests without a cloud account
3. Develop operators and CRDs against a disposable local Kubernetes API
4. Workshop GPU and agent stacks on a laptop that already has Docker
TAGS
kubernetesk3sdockerlocalcimlopsopen-source