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# Drain and delete the nodes (for each node you have)
kubectl drain kubenode1 --delete-local-data --force --ignore-daemonsets
kubectl delete node kubenode1
# Reset the deployment
sudo kubeadm reset
# On each node
## Reset the nodes and weave
@martwetzels
martwetzels / Kubernetes cluster setup based on amd64 && NVIDIA JETSON TX2.md Our project aims to build a Multi-platform kubernetes cluster, we use the VM on x86 as master node and two nvidia tx2 development kits as node. So we can schedule both CPU and GPU resources.

Kubernetes cluster setup based on amd64 && NVIDIA JETSON TX2

Thanks to @luxas create the Kubernetes on ARM project. But my project has some different, i have a VM on x86 as master node and two nvidia tx2 development kits as work node. So my kubernetes cluster are multi-platform. I use kubeadm as a deployment method.Some basic information of my platform is as follows.

Versions

kubeadm version (use kubeadm version):1.10.0

Environment:

  • Kubernetes version (use kubectl version):1.10.0
  • Cloud provider or hardware configuration:an amd64 master and 1 arm nodes (nvidia tagra TX2)