In this tutorial we will demonstrate how to deploy a Kubernetes cluster to Azure cloud. Weave makes networking of containers simple and secure, in a transparent, yet robust way. The focus of this tutorial is provide an out-of-the-box production-ready implementation with dedicated Kubernetes master and etcd nodes. It will also show how to scale the cluster with ease.
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.
You first need to install some of the dependencies with
```
npm install
```
Now, all you need to do is:
```
./azure-login.js
./create-kubernetes-cluster.js
```
This script will provision a cluster suitable for production use, where there is a ring of 3 dedicated etcd nodes, Kubernetes master and 2 minions. The `kube-00` VM will be the master, your work loads are only to be deployed on the minion 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. Later we will show how to add more bigger VMs.
Once the creation of Azure VMs has finished, you should see the following:
```
...
azure_wrapper/info: Saved SSH config, you can use it like so: `ssh -F ./output/kubernetes_1c1496016083b4_ssh_conf <hostname>`
azure_wrapper/info: The hosts in this deployment are:
Two single-core minions are certainly not enough for a production system of today, and, as you can see we have one _unassigned_ pod. Let's resize 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/weave-demos/coreos-azure`).
First, lets set the size of new VMs:
```
export AZ_VM_SIZE=Large
```
Now, run resize script with state file of the previous deployment:
You now will have more instances of front-end Guestbook apps and Redis slaves; and, if we look up all pods labled `name=frontend`, we should see one running on each node.
```
core@kube-00 ~/guestbook-example $ kubectl get pods -l name=frontend
To makes sure the app is working, we should load it in the browser. For accessing the Guesbook service from the outside world, I had to create an Azure endpoint like shown on the picture below.
I was then able to access it from anywhere via the Azure virtual IP for `kube-01`, i.e. `http://104.40.211.194:8000/`.
Make sure to use the latest state file, as after resizing there is a new one. By the way, with the scripts shown, you can deploy multiple clusters, if you like :)
return_.template("Host <%= name %>\n\tPort <%= port %>\n")(host);
})).join('\n'));
console.log(clr.yellow('azure_wrapper/info:'),clr.green('Saved SSH config, you can use it like so: `ssh -F ',file_name,'<hostname>`'));
console.log(clr.yellow('azure_wrapper/info:'),clr.green('The hosts in this deployment are:\n'),_.map(hosts.collection,function(host){returnhost.name;}));
