Running Kubernetes - KIND
Kubernetes IN Docker (KIND) is part of the new wave of easy to use Kubernetes installers focused at people looking to learn, or use as a local development environment.
It’s great for just running a few applications, but is lacking support for some of the networking etc to handle some of our use cases.
For now we recommend using minikube to install Kubernetes locally.
However if you do want to use KIND you can follow these instructions.
Getting started on Mac OSX
curl -Lo ./kind-darwin-amd64 https://github.com/kubernetes-sigs/kind/releases/download/v0.4.0/kind-darwin-amd64 chmod +x ./kind-darwin-amd64 mv ./kind-darwin-amd64 /some-dir-in-your-PATH/kind
Getting started on Linux
wget -O /tmp/kind https://github.com/kubernetes-sigs/kind/releases/download/v0.4.0/kind-linux-amd64 chmod +x /tmp/kind sudo mv /tmp/kind /usr/local/bin/kind
Creating a cluster once KIND is installed is even easier
Note: this may take a few minutes the first time you run it as it needs to download a bunch of docker images.
$ kind create cluster Creating cluster "kind" ... ✓ Ensuring node image (kindest/node:v1.15.0) 🖼 ✓ Preparing nodes 📦 ✓ Creating kubeadm config 📜 ✓ Starting control-plane 🕹️ ✓ Installing CNI 🔌 ✓ Installing StorageClass 💾 Cluster creation complete. You can now use the cluster with: export KUBECONFIG="$(kind get kubeconfig-path --name="kind")" kubectl cluster-info
Follow the instructions it provides to gain access to your cluster
Note: you need kubectl installed to continue.
$ export KUBECONFIG="$(kind get kubeconfig-path --name="kind")" $ kubectl cluster-info Kubernetes master is running at https://127.0.0.1:44075 KubeDNS is running at https://127.0.0.1:44075/api/v1/namespaces/kube-system/services/kube-dns:dns/proxy To further debug and diagnose cluster problems, use 'kubectl cluster-info dump'. $ docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES a25107ff8863 kindest/node:v1.15.0 "/usr/local/bin/entr…" 33 seconds ago Up 28 seconds 44075/tcp, 127.0.0.1:44075->6443/tcp kind-control-plane
Congratulations, you’re now running a simple single node Kubernetes cluster on your laptop. Check out the other guides to see what to do next.
Next learn how to run your first application.