PLEASE NOTE: This document applies to the HEAD of the source tree
If you are using a released version of Kubernetes, you should
refer to the docs that go with that version.
The latest release of this document can be found
[here](http://releases.k8s.io/release-1.1/docs/getting-started-guides/coreos/azure/README.md).
Documentation for other releases can be found at
[releases.k8s.io](http://releases.k8s.io).
--
Kubernetes on Azure with CoreOS and [Weave](http://weave.works)
---------------------------------------------------------------
**Table of Contents**
- [Introduction](#introduction)
- [Prerequisites](#prerequisites)
- [Let's go!](#lets-go)
- [Deploying the workload](#deploying-the-workload)
- [Scaling](#scaling)
- [Exposing the app to the outside world](#exposing-the-app-to-the-outside-world)
- [Next steps](#next-steps)
- [Tear down...](#tear-down)
## Introduction
In this guide I will demonstrate how to deploy a Kubernetes cluster to Azure cloud. You will be using CoreOS with Weave, which implements simple and secure networking, in a transparent, yet robust way. The purpose of this guide is to provide an out-of-the-box implementation that can ultimately be taken into production with little change. It will demonstrate how to provision a dedicated Kubernetes master and etcd nodes, and show how to scale the cluster with ease.
### Prerequisites
1. You need an Azure account.
## Let's go!
To get started, you need to checkout the code:
```sh
git clone https://github.com/kubernetes/kubernetes
cd kubernetes/docs/getting-started-guides/coreos/azure/
```
You will need to have [Node.js installed](http://nodejs.org/download/) on you machine. If you have previously used Azure CLI, you should have it already.
First, you need to install some of the dependencies with
```sh
npm install
```
Now, all you need to do is:
```sh
./azure-login.js -u
./create-kubernetes-cluster.js
```
This script will provision a cluster suitable for production use, where there is a ring of 3 dedicated etcd nodes: 1 kubernetes master and 2 kubernetes nodes. The `kube-00` VM will be the master, your work loads are only to be deployed on the nodes, `kube-01` and `kube-02`. Initially, all VMs are single-core, to ensure a user of the free tier can reproduce it without paying extra. I will show how to add more bigger VMs later.
Once the creation of Azure VMs has finished, you should see the following:
```console
...
azure_wrapper/info: Saved SSH config, you can use it like so: `ssh -F ./output/kube_1c1496016083b4_ssh_conf `
azure_wrapper/info: The hosts in this deployment are:
[ 'etcd-00', 'etcd-01', 'etcd-02', 'kube-00', 'kube-01', 'kube-02' ]
azure_wrapper/info: Saved state into `./output/kube_1c1496016083b4_deployment.yml`
```
Let's login to the master node like so:
```sh
ssh -F ./output/kube_1c1496016083b4_ssh_conf kube-00
```
> Note: config file name will be different, make sure to use the one you see.
Check there are 2 nodes in the cluster:
```console
core@kube-00 ~ $ kubectl get nodes
NAME LABELS STATUS
kube-01 kubernetes.io/hostname=kube-01 Ready
kube-02 kubernetes.io/hostname=kube-02 Ready
```
## Deploying the workload
Let's follow the Guestbook example now:
```sh
kubectl create -f ~/guestbook-example
```
You need to wait for the pods to get deployed, run the following and wait for `STATUS` to change from `Pending` to `Running`.
```sh
kubectl get pods --watch
```
> Note: the most time it will spend downloading Docker container images on each of the nodes.
Eventually you should see:
```console
NAME READY STATUS RESTARTS AGE
frontend-0a9xi 1/1 Running 0 4m
frontend-4wahe 1/1 Running 0 4m
frontend-6l36j 1/1 Running 0 4m
redis-master-talmr 1/1 Running 0 4m
redis-slave-12zfd 1/1 Running 0 4m
redis-slave-3nbce 1/1 Running 0 4m
```
## Scaling
Two single-core nodes are certainly not enough for a production system of today. Let's scale the cluster by adding a couple of bigger nodes.
You will need to open another terminal window on your machine and go to the same working directory (e.g. `~/Workspace/kubernetes/docs/getting-started-guides/coreos/azure/`).
First, lets set the size of new VMs:
```sh
export AZ_VM_SIZE=Large
```
Now, run scale script with state file of the previous deployment and number of nodes to add:
```console
core@kube-00 ~ $ ./scale-kubernetes-cluster.js ./output/kube_1c1496016083b4_deployment.yml 2
...
azure_wrapper/info: Saved SSH config, you can use it like so: `ssh -F ./output/kube_8f984af944f572_ssh_conf `
azure_wrapper/info: The hosts in this deployment are:
[ 'etcd-00',
'etcd-01',
'etcd-02',
'kube-00',
'kube-01',
'kube-02',
'kube-03',
'kube-04' ]
azure_wrapper/info: Saved state into `./output/kube_8f984af944f572_deployment.yml`
```
> Note: this step has created new files in `./output`.
Back on `kube-00`:
```console
core@kube-00 ~ $ kubectl get nodes
NAME LABELS STATUS
kube-01 kubernetes.io/hostname=kube-01 Ready
kube-02 kubernetes.io/hostname=kube-02 Ready
kube-03 kubernetes.io/hostname=kube-03 Ready
kube-04 kubernetes.io/hostname=kube-04 Ready
```
You can see that two more nodes joined happily. Let's scale the number of Guestbook instances now.
First, double-check how many replication controllers there are:
```console
core@kube-00 ~ $ kubectl get rc
ONTROLLER CONTAINER(S) IMAGE(S) SELECTOR REPLICAS
frontend php-redis kubernetes/example-guestbook-php-redis:v2 name=frontend 3
redis-master master redis name=redis-master 1
redis-slave worker kubernetes/redis-slave:v2 name=redis-slave 2
```
As there are 4 nodes, let's scale proportionally:
```console
core@kube-00 ~ $ kubectl scale --replicas=4 rc redis-slave
>>>>>>> coreos/azure: Updates for 1.0
scaled
core@kube-00 ~ $ kubectl scale --replicas=4 rc frontend
scaled
```
Check what you have now:
```console
core@kube-00 ~ $ kubectl get rc
CONTROLLER CONTAINER(S) IMAGE(S) SELECTOR REPLICAS
frontend php-redis kubernetes/example-guestbook-php-redis:v2 name=frontend 4
redis-master master redis name=redis-master 1
redis-slave worker kubernetes/redis-slave:v2 name=redis-slave 4
```
You now will have more instances of front-end Guestbook apps and Redis slaves; and, if you look up all pods labeled `name=frontend`, you should see one running on each node.
```console
core@kube-00 ~/guestbook-example $ kubectl get pods -l name=frontend
NAME READY STATUS RESTARTS AGE
frontend-0a9xi 1/1 Running 0 22m
frontend-4wahe 1/1 Running 0 22m
frontend-6l36j 1/1 Running 0 22m
frontend-z9oxo 1/1 Running 0 41s
```
## Exposing the app to the outside world
There is no native Azure load-balancer support in Kubernetes 1.0, however here is how you can expose the Guestbook app to the Internet.
```
./expose_guestbook_app_port.sh ./output/kube_1c1496016083b4_ssh_conf
Guestbook app is on port 31605, will map it to port 80 on kube-00
info: Executing command vm endpoint create
+ Getting virtual machines
+ Reading network configuration
+ Updating network configuration
info: vm endpoint create command OK
info: Executing command vm endpoint show
+ Getting virtual machines
data: Name : tcp-80-31605
data: Local port : 31605
data: Protcol : tcp
data: Virtual IP Address : 137.117.156.164
data: Direct server return : Disabled
info: vm endpoint show command OK
```
You then should be able to access it from anywhere via the Azure virtual IP for `kube-00` displayed above, i.e. `http://137.117.156.164/` in my case.
## Next steps
You now have a full-blow cluster running in Azure, congrats!
You should probably try deploy other [example apps](../../../../examples/) or write your own ;)
## Tear down...
If you don't wish care about the Azure bill, you can tear down the cluster. It's easy to redeploy it, as you can see.
```sh
./destroy-cluster.js ./output/kube_8f984af944f572_deployment.yml
```
> Note: make sure to use the _latest state file_, as after scaling there is a new one.
By the way, with the scripts shown, you can deploy multiple clusters, if you like :)
[]()