= kubernetes =
 * https://www.katacoda.com/courses/kubernetes
 * minikube version # check version 1.2.0
 * minikube start 
{{{#!highlight bash
$ minikube version
minikube version: v1.2.0
$ minikube start
* minikube v1.2.0 on linux (amd64)
* Creating none VM (CPUs=2, Memory=2048MB, Disk=20000MB) ...
* Configuring environment for Kubernetes v1.15.0 on Docker 18.09.5
  - kubelet.resolv-conf=/run/systemd/resolve/resolv.conf
* Pulling images ...
* Launching Kubernetes ...

* Configuring local host environment ...
* Verifying: apiserver proxy etcd scheduler controller dns
* Done! kubectl is now configured to use "minikube"
}}}

== cluster details and health status ==
{{{#!highlight bash
$ kubectl cluster-info
Kubernetes master is running at https://172.17.0.30:8443
KubeDNS is running at https://172.17.0.30:8443/api/v1/namespaces/kube-system/services/kube-dns:dns/proxy

To further debug and diagnose cluster problems, use 'kubectl cluster-info dump'.
}}}

== get cluster nodes ==
{{{#!highlight bash
$ kubectl get nodes
NAME       STATUS   ROLES    AGE    VERSION
minikube   Ready    master   3m1s   v1.15.0
}}}

== deploy containers ==
{{{
# deploy container
$ kubectl create deployment first-deployment --image=katacoda/docker-http-server
deployment.apps/first-deployment created
$ # deploy container in cluster
# check pods
$ kubectl get pods
NAME                               READY   STATUS    RESTARTS   AGE
first-deployment-8cbf74484-s2fkl   1/1     Running   0          25s
# expose deployment
$ kubectl expose deployment first-deployment --port=80 --type=NodePort
service/first-deployment exposed

$ kubectl get svc first-deployment
NAME               TYPE       CLUSTER-IP     EXTERNAL-IP   PORT(S)        AGE
first-deployment   NodePort   10.98.246.87   <none>        80:31219/TCP   105s
# do request to port 80 in cluster ip
$ curl 10.98.246.87:80
<h1>This request was processed by host: first-deployment-8cbf74484-s2fkl</h1>

$curl host01:31219
<h1>This request was processed by host: first-deployment-8cbf74484-s2fkl</h1>
}}}