Skip to main content

Your submission was sent successfully! Close

Thank you for signing up for our newsletter!
In these regular emails you will find the latest updates from Canonical and upcoming events where you can meet our team.Close

Thank you for contacting us. A member of our team will be in touch shortly. Close

How to deploy on AKS

Azure Kubernetes Service (AKS) allows you to quickly deploy a production ready Kubernetes cluster in Azure. To access the AKS Web interface, go to https://portal.azure.com/.

Summary


Install Client Environment

Juju

Install Juju via snap:

sudo snap install juju

Check that the Juju version is correctly installed:

juju version

which should show:

3.5.2-genericlinux-amd64

Azure CLI

Follow the user guide for installing the Azure CLI on Linux distributions.

Verify that it is correctly installed running the command below:

az --version

which should show the following output:

azure-cli                         2.65.0

core                              2.65.0
telemetry                          1.1.0

Dependencies:
msal                              1.31.0
azure-mgmt-resource               23.1.1

Python location '/opt/az/bin/python3'
Extensions directory '/home/deusebio/.azure/cliextensions'

Python (Linux) 3.11.8 (main, Sep 25 2024, 11:33:44) [GCC 11.4.0]

Legal docs and information: aka.ms/AzureCliLegal


Your CLI is up-to-date.

Create AKS cluster

Login to your Azure account:

az login

This following examples in this guide will use the single server AKS in location eastus - feel free to change this for your own deployment.

Create a new Azure Resource Group:

az group create --name aks --location eastus

Export the deployment name for further use:

export JUJU_NAME=aks-$USER-$RANDOM

Bootstrap AKS with the following command (increase nodes count/size if necessary):

az aks create -g aks -n ${JUJU_NAME} --enable-managed-identity --node-count 1 --node-vm-size=Standard_D4s_v4 --generate-ssh-keys

Sample output:

{
  "aadProfile": null,
  "addonProfiles": null,
  "agentPoolProfiles": [
    {
      "availabilityZones": null,
      "capacityReservationGroupId": null,
      "count": 1,
      "creationData": null,
      "currentOrchestratorVersion": "1.28.9",
      "enableAutoScaling": false,
      "enableEncryptionAtHost": false,
      "enableFips": false,
      "enableNodePublicIp": false,
...

Dump newly bootstrapped AKS credentials:

az aks get-credentials --resource-group aks --name ${JUJU_NAME} --context aks

Sample output:

...
Merged "aks" as current context in ~/.kube/config

You can verify that the cluster and your client kubectl CLI is correctly configured by running a simple command, such as:

kubectl get pod -A

which should provide the list of the pod services running.

Bootstrap Juju controller on AKS

Bootstrap Juju controller:

juju bootstrap aks <CONTROLLER_NAME>

Sample output:

Creating Juju controller "aks" on aks/eastus
Bootstrap to Kubernetes cluster identified as azure/eastus
Creating k8s resources for controller "controller-aks"
Downloading images
Starting controller pod
Bootstrap agent now started
Contacting Juju controller at 20.231.233.33 to verify accessibility...

Bootstrap complete, controller "aks" is now available in namespace "controller-aks"

Now you can run
	juju add-model <model-name>
to create a new model to deploy k8s workloads.

Deploy Charms

Create a new Juju model, if needed:

juju add-model <MODEL_NAME>

(Optional) Increase the debug level if you are troubleshooting charms:

juju model-config logging-config='<root>=INFO;unit=DEBUG'

Then, Charmed Kafka can be deployed as usual:

juju deploy zookeeper-k8s -n3 --channel 3/stable
juju deploy kafka-k8s -n3 --constraints "instance-type=Standard_A4_v2" --channel 3/stable
juju integrate kafka-k8s zookeeper-k8s

We also recommend to deploy a Data Integrator for creating an admin user to manage the content of the Kafka cluster:

juju deploy data-integrator admin --channel edge \
  --config extra-user-roles=admin \
  --config topic-name=admin-topic

And integrate it with the Kafka application:

juju integrate kafka-k8s admin

For more information on Data Integrator and how to use it, please refer to the how-to manage applications user guide.

Display deployment information

Display information about the current deployments with the following commands:

~$ kubectl cluster-info 
Kubernetes control plane is running at https://aks-user-aks-aaaaa-bbbbb.hcp.eastus.azmk8s.io:443
CoreDNS is running at https://aks-user-aks-aaaaa-bbbbb.hcp.eastus.azmk8s.io:443/api/v1/namespaces/kube-system/services/kube-dns:dns/proxy
Metrics-server is running at https://aks-user-aks-aaaaa-bbbbb.hcp.eastus.azmk8s.io:443/api/v1/namespaces/kube-system/services/https:metrics-server:/proxy

~$ az aks list
...
        "count": 1,
        "currentOrchestratorVersion": "1.28.9",
        "enableAutoScaling": false,
...

~$ kubectl get node
NAME                                STATUS   ROLES   AGE   VERSION
aks-nodepool1-31246187-vmss000000   Ready    agent   11m   v1.28.9

Clean up

Always clean AKS resources that are no longer necessary - they could be costly!

To clean the AKS cluster, resources and juju cloud, run the following commands:

juju destroy-controller <CONTROLLER_NAME> --destroy-all-models --destroy-storage --force

List all services and then delete those that have an associated EXTERNAL-IP value (load balancers, …):

kubectl get svc --all-namespaces
kubectl delete svc <service-name> 

Next, delete the AKS resources (source: Deleting an all Azure VMs)

az aks delete -g aks -n ${JUJU_NAME}

Finally, logout from AKS to clean the local credentials (to avoid forgetting and leaking):

az logout

Last updated 21 days ago. Help improve this document in the forum.