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After building a Raspberry Pi Kubernetes Cluster, I wanted to see how quickly I could get up to speed on in .

  • I installed the Azure CLI (Command Line Interface) in a few minutes – works on Windows, Mac or Linux.
    • I also remembered that I don’t really need to install anything locally. I could just use the Azure Cloud Shell directly from within VS Code. I’d get a bash shell, Azure CLI, and automatically logged in without doing anything manual.
    • Anyway, while needlessly installing the Azure CLI locally, I read up on the Azure Container Service (AKS) here. There’s walkthrough for creating an AKS Cluster here. You can actually run through the whole tutorial in the browser with an in-browser shell.
  • After logging in with “az login” I made a new resource group to hold everything with “az group create -l centralus -n aks-hanselman.” It’s in the centralus and it’s named aks-hanselman.
  • Then I created a managed service like this:

    C:UsersscottSource>az aks create -g aks-hanselman -n hanselkube –generate-ssh-keys

    / Running …
  • This runs for a few minutes while creating, then when it’s done, I can get ahold of the credentials I need with

    C:UsersscottSource>az aks get-credentials –resource-group aks-hanselman –name hanselkube

    Merged “hanselkube” as context in C:Usersscott.kubeconfig
  • I can install Kubenetes CLI “kubectl” easily with “az aks install-cli

    Then list out the nodes that are to go!

    C:UsersscottSource>kubectl get nodes

    NAME                       STATUS    ROLES     AGE       VERSION

    aks-nodepool1-13823488-0   Ready     agent     1m        v1.7.7

    aks-nodepool1-13823488-1   Ready     agent     1m        v1.7.7

    aks-nodepool1-13823488-2   Ready     agent     1m        v1.7.7

A year ago, Glenn Condron and I made a silly web while recording a Microsoft Virtual . We use it for demos and to show how even old (now over a year) containers can still be easily and reliably deployed. It’s up at https://hub.docker.com/r/glennc/fancypants/.

I’ll deploy it to my new Kubernetes up in Azure by making this yaml file:

apiVersion: apps/v1beta1

kind: Deployment
metadata:
name: fancypants
spec:
replicas: 1
template:
metadata:
labels:
app: fancypants
spec:
containers:
- name: fancypants
image: glennc/fancypants:latest
ports:
- containerPort: 80
---
apiVersion: v1
kind: Service
metadata:
name: fancypants
spec:
type: LoadBalancer
ports:
- port: 80
selector:
app: fancypants

I saved it as fancypants.yml, then run kubectl create -f fancypants.yml.

I can run kubectl proxy and then hit http://localhost:8001/api/v1/namespaces/kube-system/services/http:kubernetes-dashboard:/proxy/#!/overview?namespace=default to look at the Kubernetes Dashboard, proxyed locally, but all running in Azure.

image setting up a managed container cluster with aks and kubernetes in the azure cloud running .net core in minutes - image e04a68ed e5e7 4ca4 aab9 e8c4e911811b - Setting up a managed container cluster with AKS and Kubernetes in the Azure Cloud running .NET Core in minutes

When fancypants is created and deployed, then I can find out its external IP with:

C:UsersscottSources>kubectl get service

NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
fancypants LoadBalancer .0.116.145 52.165.232.77 80:340/TCP 7m
kubernetes ClusterIP 10.0.0.1 <none> 443/TCP 18m

There’s my IP, I hit it and boom, I’ve got fancypants in the managed cloud. I only have to pay for the VMs I’m using, and not for the VM that manages Kubernetes. That means the “kube-system” namespace is free, I pay for other namespaces like my “default” one.

image setting up a managed container cluster with aks and kubernetes in the azure cloud running .net core in minutes - image 4d11e8ee 4e4d 4147 8d4e 8f487b55339b - Setting up a managed container cluster with AKS and Kubernetes in the Azure Cloud running .NET Core in minutes

Best part? When I’m done, I can just delete the resource group and take it all away. Per minute billing.

C:UsersscottSources>az group delete -n aks-hanselman --yes

Super fun and just took about 30 min to install, read about, try it out, write this blog post, then delete. Try it yourself!


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© 2017 Scott Hanselman. All rights reserved.

setting up a managed container cluster with aks and kubernetes in the azure cloud running .net core in minutes - scotthanselman - Setting up a managed container cluster with AKS and Kubernetes in the Azure Cloud running .NET Core in minutes

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