Initial checkin of v1.1 -- does not build
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layout: docwithnav
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title: "Running Kubernetes locally via Docker"
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---
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<!-- BEGIN MUNGE: UNVERSIONED_WARNING -->
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<!-- END MUNGE: UNVERSIONED_WARNING -->
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Running Kubernetes locally via Docker
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-------------------------------------
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**Table of Contents**
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- [Overview](#setting-up-a-cluster)
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- [Prerequisites](#prerequisites)
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- [Step One: Run etcd](#step-one-run-etcd)
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- [Step Two: Run the master](#step-two-run-the-master)
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- [Step Three: Run the service proxy](#step-three-run-the-service-proxy)
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- [Test it out](#test-it-out)
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- [Run an application](#run-an-application)
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- [Expose it as a service](#expose-it-as-a-service)
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- [A note on turning down your cluster](#a-note-on-turning-down-your-cluster)
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### Overview
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The following instructions show you how to set up a simple, single node Kubernetes cluster using Docker.
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Here's a diagram of what the final result will look like:
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### Prerequisites
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1. You need to have docker installed on one machine.
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2. Your kernel should support memory and swap accounting. Ensure that the
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following configs are turned on in your linux kernel:
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{% highlight console %}
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{% raw %}
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CONFIG_RESOURCE_COUNTERS=y
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CONFIG_MEMCG=y
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CONFIG_MEMCG_SWAP=y
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CONFIG_MEMCG_SWAP_ENABLED=y
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CONFIG_MEMCG_KMEM=y
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{% endraw %}
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{% endhighlight %}
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3. Enable the memory and swap accounting in the kernel, at boot, as command line
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parameters as follows:
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{% highlight console %}
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{% raw %}
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GRUB_CMDLINE_LINUX="cgroup_enable=memory swapaccount=1"
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{% endraw %}
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{% endhighlight %}
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NOTE: The above is specifically for GRUB2.
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You can check the command line parameters passed to your kernel by looking at the
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output of /proc/cmdline:
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{% highlight console %}
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{% raw %}
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$cat /proc/cmdline
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BOOT_IMAGE=/boot/vmlinuz-3.18.4-aufs root=/dev/sda5 ro cgroup_enable=memory
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swapaccount=1
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{% endraw %}
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{% endhighlight %}
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### Step One: Run etcd
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{% highlight sh %}
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{% raw %}
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docker run --net=host -d gcr.io/google_containers/etcd:2.0.12 /usr/local/bin/etcd --addr=127.0.0.1:4001 --bind-addr=0.0.0.0:4001 --data-dir=/var/etcd/data
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{% endraw %}
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{% endhighlight %}
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### Step Two: Run the master
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{% highlight sh %}
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{% raw %}
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docker run \
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--volume=/:/rootfs:ro \
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--volume=/sys:/sys:ro \
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--volume=/dev:/dev \
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--volume=/var/lib/docker/:/var/lib/docker:ro \
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--volume=/var/lib/kubelet/:/var/lib/kubelet:rw \
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--volume=/var/run:/var/run:rw \
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--net=host \
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--pid=host \
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--privileged=true \
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-d \
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gcr.io/google_containers/hyperkube:v1.0.1 \
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/hyperkube kubelet --containerized --hostname-override="127.0.0.1" --address="0.0.0.0" --api-servers=http://localhost:8080 --config=/etc/kubernetes/manifests
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{% endraw %}
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{% endhighlight %}
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This actually runs the kubelet, which in turn runs a [pod](../user-guide/pods.html) that contains the other master components.
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### Step Three: Run the service proxy
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{% highlight sh %}
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{% raw %}
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docker run -d --net=host --privileged gcr.io/google_containers/hyperkube:v1.0.1 /hyperkube proxy --master=http://127.0.0.1:8080 --v=2
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{% endraw %}
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{% endhighlight %}
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### Test it out
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At this point you should have a running Kubernetes cluster. You can test this by downloading the kubectl
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binary
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([OS X](https://storage.googleapis.com/kubernetes-release/release/v1.0.1/bin/darwin/amd64/kubectl))
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([linux](https://storage.googleapis.com/kubernetes-release/release/v1.0.1/bin/linux/amd64/kubectl))
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*Note:*
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On OS/X you will need to set up port forwarding via ssh:
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{% highlight sh %}
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{% raw %}
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boot2docker ssh -L8080:localhost:8080
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{% endraw %}
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{% endhighlight %}
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List the nodes in your cluster by running:
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{% highlight sh %}
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{% raw %}
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kubectl get nodes
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{% endraw %}
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{% endhighlight %}
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This should print:
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{% highlight console %}
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{% raw %}
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NAME LABELS STATUS
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127.0.0.1 <none> Ready
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{% endraw %}
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{% endhighlight %}
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If you are running different Kubernetes clusters, you may need to specify `-s http://localhost:8080` to select the local cluster.
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### Run an application
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{% highlight sh %}
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{% raw %}
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kubectl -s http://localhost:8080 run nginx --image=nginx --port=80
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{% endraw %}
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{% endhighlight %}
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Now run `docker ps` you should see nginx running. You may need to wait a few minutes for the image to get pulled.
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### Expose it as a service
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{% highlight sh %}
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{% raw %}
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kubectl expose rc nginx --port=80
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{% endraw %}
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{% endhighlight %}
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Run the following command to obtain the IP of this service we just created. There are two IPs, the first one is internal (CLUSTER_IP), and the second one is the external load-balanced IP.
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{% highlight sh %}
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{% raw %}
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kubectl get svc nginx
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{% endraw %}
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{% endhighlight %}
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Alternatively, you can obtain only the first IP (CLUSTER_IP) by running:
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{% highlight sh %}
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{% raw %}
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kubectl get svc nginx --template={{.spec.clusterIP}}
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{% endraw %}
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{% endhighlight %}
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Hit the webserver with the first IP (CLUSTER_IP):
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{% highlight sh %}
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{% raw %}
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curl <insert-cluster-ip-here>
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{% endraw %}
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{% endhighlight %}
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Note that you will need run this curl command on your boot2docker VM if you are running on OS X.
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### A note on turning down your cluster
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Many of these containers run under the management of the `kubelet` binary, which attempts to keep containers running, even if they fail. So, in order to turn down
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the cluster, you need to first kill the kubelet container, and then any other containers.
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You may use `docker kill $(docker ps -aq)`, note this removes _all_ containers running under Docker, so use with caution.
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<!-- BEGIN MUNGE: IS_VERSIONED -->
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<!-- TAG IS_VERSIONED -->
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<!-- END MUNGE: IS_VERSIONED -->
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<!-- BEGIN MUNGE: GENERATED_ANALYTICS -->
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[]()
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<!-- END MUNGE: GENERATED_ANALYTICS -->
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