<commit_before>## Getting Started

The quickest way to get started on your laptop is to run OpenShift V3 locally:

### Get OpenShift V3

You can download a [distribution of OpenShift V3](https://github.com/openshift/origin/releases) if there is a download 
for your platform (currently OpenShift runs only on the 64-bit Linux). We recommend to download the [alpha nightly 20141003/e4d4ecf]
(https://github.com/openshift/origin/releases/download/20141003/openshift-origin-linux64-e4d4ecf.tar.gz) version of the
OpenShift 3 - Fabric8 has been tested against it.

Or you can build it yourself:

* install [go lang](http://golang.org/doc/install)
* [compile the OpenShift V3 code](https://github.com/jstrachan/origin/blob/master/README.md#getting-started) via this command:

    hack/build-go.sh

Then add _output/go/bin to your PATH.

### Running OpenShift V3

Point your environment at the local kube master:
<commit_msg>Added information about etcd and Kube requirements.<commit_after>## Getting Started

In order to start working with the Fabric8 on your laptop, you need to have 
[Kubernetes](https://github.com/GoogleCloudPlatform/kubernetes) Kube and 
[etcd](https://github.com/coreos/etcd) services available. The quickest way to start Kube and etcd locally 
is to run OpenShift V3 on your machine.

### Get OpenShift V3

You can download a [distribution of OpenShift V3](https://github.com/openshift/origin/releases) if there is a download 
for your platform (currently OpenShift runs only on the 64-bit Linux). We recommend to download the [alpha nightly 20141003/e4d4ecf]
(https://github.com/openshift/origin/releases/download/20141003/openshift-origin-linux64-e4d4ecf.tar.gz) version of the
OpenShift 3 - Fabric8 has been tested against it.

Or you can build it yourself:

* install [go lang](http://golang.org/doc/install)
* [compile the OpenShift V3 code](https://github.com/jstrachan/origin/blob/master/README.md#getting-started) via this command:

    hack/build-go.sh

Then add _output/go/bin to your PATH.

### Running OpenShift V3

Point your environment at the local kube master:

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