kubernetes/docs/devel/local-cluster/docker.md

**Stop. This guide has been superseded by [Minikube](https://github.com/kubernetes/minikube) which is the recommended method of running Kubernetes on your local machine.**


The following instructions show you how to set up a simple, single node Kubernetes cluster using Docker.

Here's a diagram of what the final result will look like:

![Kubernetes Single Node on Docker](k8s-singlenode-docker.png)

## Prerequisites

**Note: These steps have not been tested with the [Docker For Mac or Docker For Windows beta programs](https://blog.docker.com/2016/03/docker-for-mac-windows-beta/).**

1. You need to have Docker version >= "1.10" installed on the machine.
2. Enable mount propagation. Hyperkube is running in a container which has to mount volumes for other containers, for example in case of persistent storage. The required steps depend on the init system.


  In case of **systemd**, change MountFlags in the Docker unit file to shared.

  ```shell
    DOCKER_CONF=$(systemctl cat docker | head -1 | awk '{print $2}')
    sed -i.bak 's/^\(MountFlags=\).*/\1shared/' $DOCKER_CONF
    systemctl daemon-reload
    systemctl restart docker
  ```

  **Otherwise**, manually set the mount point used by Hyperkube to be shared:

  ```shell
    mkdir -p /var/lib/kubelet
    mount --bind /var/lib/kubelet /var/lib/kubelet
    mount --make-shared /var/lib/kubelet
  ```


### Run it

1. Decide which Kubernetes version to use. Set the `${K8S_VERSION}` variable to a version of Kubernetes >= "v1.2.0".


  If you'd like to use the current **stable** version of Kubernetes, run the following:

  ```sh
  export K8S_VERSION=$(curl -sS https://storage.googleapis.com/kubernetes-release/release/stable.txt)
  ```

  and for the **latest** available version (including unstable releases):

  ```sh
  export K8S_VERSION=$(curl -sS https://storage.googleapis.com/kubernetes-release/release/latest.txt)
  ```

2. Start Hyperkube

  ```shell
  export ARCH=amd64
  docker run -d \
      --volume=/sys:/sys:rw \
      --volume=/var/lib/docker/:/var/lib/docker:rw \
      --volume=/var/lib/kubelet/:/var/lib/kubelet:rw,shared \
      --volume=/var/run:/var/run:rw \
      --net=host \
      --pid=host \
      --privileged \
	  --name=kubelet \
      gcr.io/google_containers/hyperkube-${ARCH}:${K8S_VERSION} \
      /hyperkube kubelet \
          --hostname-override=127.0.0.1 \
          --api-servers=http://localhost:8080 \
          --config=/etc/kubernetes/manifests \
          --cluster-dns=10.0.0.10 \
          --cluster-domain=cluster.local \
          --allow-privileged --v=2
  ```

  > Note that `--cluster-dns` and `--cluster-domain` is used to deploy dns, feel free to discard them if dns is not needed.

  > If you would like to mount an external device as a volume, add `--volume=/dev:/dev` to the command above. It may however, cause some problems described in [#18230](https://github.com/kubernetes/kubernetes/issues/18230)

  > Architectures other than `amd64` are experimental and sometimes unstable, but feel free to try them out! Valid values: `arm`, `arm64` and `ppc64le`. ARM is available with Kubernetes version `v1.3.0-alpha.2` and higher. ARM 64-bit and PowerPC 64 little-endian are available with `v1.3.0-alpha.3` and higher. Track progress on multi-arch support [here](https://github.com/kubernetes/kubernetes/issues/17981)

  > If you are behind a proxy, you need to pass the proxy setup to curl in the containers to pull the certificates. Create a .curlrc under /root folder (because the containers are running as root) with the following line:

  ```
  proxy = <your_proxy_server>:<port>
  ```

  This actually runs the kubelet, which in turn runs a [pod](http://kubernetes.io/docs/user-guide/pods/) that contains the other master components.

  ** **SECURITY WARNING** ** services exposed via Kubernetes using Hyperkube are available on the host node's public network interface / IP address.  Because of this, this guide is not suitable for any host node/server that is directly internet accessible.  Refer to [#21735](https://github.com/kubernetes/kubernetes/issues/21735) for additional info.

### Download `kubectl`

At this point you should have a running Kubernetes cluster. You can test it out
by downloading the kubectl binary for `${K8S_VERSION}` (in this example: `{{page.version}}.0`).


Downloads:

 - `linux/amd64`: http://storage.googleapis.com/kubernetes-release/release/{{page.version}}.0/bin/linux/amd64/kubectl
 - `linux/386`: http://storage.googleapis.com/kubernetes-release/release/{{page.version}}.0/bin/linux/386/kubectl
 - `linux/arm`: http://storage.googleapis.com/kubernetes-release/release/{{page.version}}.0/bin/linux/arm/kubectl
 - `linux/arm64`: http://storage.googleapis.com/kubernetes-release/release/{{page.version}}.0/bin/linux/arm64/kubectl
 - `linux/ppc64le`: http://storage.googleapis.com/kubernetes-release/release/{{page.version}}.0/bin/linux/ppc64le/kubectl
 - `OS X/amd64`: http://storage.googleapis.com/kubernetes-release/release/{{page.version}}.0/bin/darwin/amd64/kubectl
 - `OS X/386`: http://storage.googleapis.com/kubernetes-release/release/{{page.version}}.0/bin/darwin/386/kubectl
 - `windows/amd64`: http://storage.googleapis.com/kubernetes-release/release/{{page.version}}.0/bin/windows/amd64/kubectl.exe
 - `windows/386`: http://storage.googleapis.com/kubernetes-release/release/{{page.version}}.0/bin/windows/386/kubectl.exe

The generic download path is:

```
http://storage.googleapis.com/kubernetes-release/release/${K8S_VERSION}/bin/${GOOS}/${GOARCH}/${K8S_BINARY}
```

An example install with `linux/amd64`:

```
curl -sSL "https://storage.googleapis.com/kubernetes-release/release/{{page.version}}.0/bin/linux/amd64/kubectl" > /usr/bin/kubectl
chmod +x /usr/bin/kubectl
```

On OS X, to make the API server accessible locally, setup a ssh tunnel.

```shell
docker-machine ssh `docker-machine active` -N -L 8080:localhost:8080
```

Setting up a ssh tunnel is applicable to remote docker hosts as well.

(Optional) Create kubernetes cluster configuration:

```shell
kubectl config set-cluster test-doc --server=http://localhost:8080
kubectl config set-context test-doc --cluster=test-doc
kubectl config use-context test-doc
```

### Test it out

List the nodes in your cluster by running:

```shell
kubectl get nodes
```

This should print:

```shell
NAME        STATUS    AGE
127.0.0.1   Ready     1h
```

### Run an application

```shell
kubectl run nginx --image=nginx --port=80
```

Now run `docker ps` you should see nginx running. You may need to wait a few minutes for the image to get pulled.

### Expose it as a service

```shell
kubectl expose deployment nginx --port=80
```

Run the following command to obtain the cluster local IP of this service we just created:

```shell{% raw %}
ip=$(kubectl get svc nginx --template={{.spec.clusterIP}})
echo $ip
{% endraw %}```

Hit the webserver with this IP:

```shell{% raw %}

curl $ip
{% endraw %}```

On OS X, since docker is running inside a VM, run the following command instead:

```shell
docker-machine ssh `docker-machine active` curl $ip
```

## Deploy a DNS

Read [documentation for manually deploying a DNS](http://kubernetes.io/docs/getting-started-guides/docker-multinode/#deploy-dns-manually-for-v12x) for instructions.

### Turning down your cluster

1. Delete the nginx service and deployment:

If you plan on re-creating your nginx deployment and service you will need to clean it up.

```shell
kubectl delete service,deployments nginx
```

2. Delete all the containers including the kubelet:

```shell
docker rm -f kubelet
docker rm -f `docker ps | grep k8s | awk '{print $1}'`
```

3. Cleanup the filesystem:

On OS X, first ssh into the docker VM:

```shell
docker-machine ssh `docker-machine active`
```

```shell
grep /var/lib/kubelet /proc/mounts | awk '{print $2}' | sudo xargs -n1 umount
sudo rm -rf /var/lib/kubelet
```

### Troubleshooting

#### Node is in `NotReady` state

If you see your node as `NotReady` it's possible that your OS does not have memcg enabled.

1. Your kernel should support memory accounting. Ensure that the
following configs are turned on in your linux kernel:

```shell
CONFIG_RESOURCE_COUNTERS=y
CONFIG_MEMCG=y
```

2. Enable the memory accounting in the kernel, at boot, as command line
parameters as follows:

```shell
GRUB_CMDLINE_LINUX="cgroup_enable=memory=1"
```

NOTE: The above is specifically for GRUB2.
You can check the command line parameters passed to your kernel by looking at the
output of /proc/cmdline:

```shell
$ cat /proc/cmdline
BOOT_IMAGE=/boot/vmlinuz-3.18.4-aufs root=/dev/sda5 ro cgroup_enable=memory=1
```

## Support Level


IaaS Provider        | Config. Mgmt | OS     | Networking  | Conforms | Support Level
-------------------- | ------------ | ------ | ----------  | ---------| ----------------------------
Docker Single Node   | custom       | N/A    | local       |          | Project ([@brendandburns](https://github.com/brendandburns))



## Further reading

Please see the [Kubernetes docs](http://kubernetes.io/docs) for more details on administering
and using a Kubernetes cluster.


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