Deploying First Pod and Service

3rd chunk of `content/en/blog/_posts/2015-12-00-Creating-Raspberry-Pi-Cluster-Running.md`

83eac4133fe664f38f221cb5b65a89df2a9051fe8fa41d080000000100000d06

$ docker -H unix:///var/run/docker-bootstrap.sock ps

CONTAINER ID        IMAGE                        COMMAND                  CREATED             STATUS              PORTS               NAMES

4855cc1450ff        andrewpsuedonym/flanneld     "flanneld --etcd-endp"   2 hours ago         Up 2 hours                              k8s-flannel

ef410b986cb3        andrewpsuedonym/etcd:2.1.1   "/bin/etcd --addr=127"   2 hours ago         Up 2 hours                              k8s-etcd


The hyperkube kubelet, apiserver, scheduler, controller and proxy must be up.

$ docker ps

CONTAINER ID        IMAGE                                           COMMAND                  CREATED             STATUS              PORTS               NAMES

a17784253dd2        gcr.io/google\_containers/hyperkube-arm:v1.1.2   "/hyperkube controller"   2 hours ago         Up 2 hours                              k8s\_controller-manager.7042038a\_k8s-master-127.0.0.1\_default\_43160049df5e3b1c5ec7bcf23d4b97d0\_2174a7c3

a0fb6a169094        gcr.io/google\_containers/hyperkube-arm:v1.1.2   "/hyperkube scheduler"   2 hours ago         Up 2 hours                              k8s\_scheduler.d905fc61\_k8s-master-127.0.0.1\_default\_43160049df5e3b1c5ec7bcf23d4b97d0\_511945f8

d93a94a66d33        gcr.io/google\_containers/hyperkube-arm:v1.1.2   "/hyperkube apiserver"   2 hours ago         Up 2 hours                              k8s\_apiserver.f4ad1bfa\_k8s-master-127.0.0.1\_default\_43160049df5e3b1c5ec7bcf23d4b97d0\_b5b4936d

db034473b334        gcr.io/google\_containers/hyperkube-arm:v1.1.2   "/hyperkube kubelet -"   2 hours ago         Up 2 hours                              k8s-master

f017f405ff4b        gcr.io/google\_containers/hyperkube-arm:v1.1.2   "/hyperkube proxy --m"   2 hours ago         Up 2 hours                              k8s-master-proxy
```


### Deploying the first pod and service on the cluster

When that’s looking good we’re able to access the master node of the Kubernetes cluster with kubectl. Kubectl for ARM can be downloaded from googleapis storage. kubectl get nodes shows which cluster nodes are registered with its status. The master node is named 127.0.0.1.
```
$ curl -fsSL -o /usr/bin/kubectl https://dl.k8s.io/release/v1.1.2/bin/linux/arm/kubectl

$ kubectl get nodes

NAME              LABELS                                   STATUS    AGE

127.0.0.1         kubernetes.io/hostname=127.0.0.1         Ready      1h


An easy way to test the cluster is by running a busybox docker image for ARM. kubectl run can be used to run the image as a container in a pod. kubectl get pods shows the pods that are registered with its status.

$ kubectl run busybox --image=hypriot/rpi-busybox-httpd

$ kubectl get pods -o wide

NAME                   READY     STATUS    RESTARTS   AGE       NODE

busybox-fry54          1/1       Running   1          1h        127.0.0.1

k8s-master-127.0.0.1   3/3       Running   6          1h        127.0.0.1
```


Now the pod is running but the application is not generally accessible. That can be achieved by creating a service. The cluster IP-address is the IP-address the service is avalailable within the cluster. Use the IP-address of your master node as external IP and the service becomes available outside of the cluster (e.g. at http://192.168.192.161 in my case).

Title: Deploying First Pod and Service

Summary

This section guides the user on how to deploy the first pod and service on the Kubernetes cluster. It describes how to download kubectl for ARM, check the status of the cluster nodes, run a busybox Docker image in a pod, and expose the application by creating a service with the master node's IP address as the external IP.