How to Deploy Fusion on Azure Kubernetes Service (AKS)

Fusion supports deployment on Azure Kubernetes Service (AKS). This topic explains how to deploy a Fusion cluster on AKS using the script in the fusion-cloud-native repository.

The script provided in this repo is strictly optional. The script is mainly to help those new to Kubernetes and/or Fusion get started quickly. If you’re already familiar with K8s, Helm, and AKS, then you use Helm directly to install Fusion into an existing cluster or one you create yourself using the process described here.

If you’re new to Azure, then please visit to set up an account.

Set up the AKS CLI tools

Before launching an AKS cluster, you need to install and configure kubectl and az using the links provided below:

Required AKS Command-line Tools:
  1. kubectl: Install kubectl

  2. az: Installing the Azure CLI

To confirm your account access and command-line tools are set up correctly, run the az login command (az login –help to see available options).

Azure Prerequisites

To launch a cluster in AKS (or pretty much do anything with Azure) you need to setup a Resource Group. Resource Groups are a way of organizing and managing related resources in Azure. For more information about resource groups, see

You also need to choose a location where you want to spin up your AKS cluster, such as westus2. For a list of locations you can choose, see

Use the Azure console in your browser to create a resource group, or simply do:

To recap, you should have the following requirements in place:
  1. Azure Account set up.

  2. azure-cli (az) command-line tools installed.

  3. az login working.

  4. Created an Azure Resource Group and selected a location to launch the cluster.

Set up Fusion on AKS

Download and run the script to install Fusion 5.x in a AKS cluster. To create a new cluster and install Fusion, simply do:

./ -c <cluster_name> -p <aks_resource_group>

If you don’t want the script to create a cluster, then you need to create a cluster before running the script and simply pass the name of the existing cluster using the -c parameter.

Use the --help option to see full script usage.

By default, our script installs Fusion into the default namespace; think of a K8s namespace as a virtual cluster within a physical cluster. You can install multiple instances of Fusion in the same cluster in separate namespaces. However, please do not install more than one Fusion release in the same namespace.

You can override the namespace using the -n option. In addition, our script uses f5 for the Helm release name; you can customize this using the -r option. Helm uses the release name you provide to track a specific instance of an installation, allowing you to perform updates and rollback changes for that specific release only.

You can also pass the --preview option to the script, which enables soon-to-be-released features for AKS, such as deploying a multi-zone cluster across 3 availability zones for higher availability guarantees. For more information about the Availability Zone feature, see

It takes a while for AKS to spin up the new cluster. The cluster will have three Standard_D4_v3 nodes which have 4 CPU cores and 16 GB of memory. Behind the scenes, our script calls the az aks create command.

The script installs Helm’s tiller component into your AKS cluster with the cluster admin role.

After running the script, proceed to Verifying the Fusion Installation.

AKS Ingress

The script exposes the Fusion proxy service on an external IP over HTTP. This is done for demo or getting started purposes. However, you’re strongly encouraged to configure a K8s Ingress with TLS termination in front of the proxy service.

Use the -t and -h <hostname> options to have our script create an Ingress with a TLS certificate issued by Let’s Encrypt.

Upgrades and Ingress

If you used the -t -h <hostname> options when installing your cluster, our script created an additional values yaml file named tls-values.yaml.

To make things easier for you when upgrading, you should add the settings from this file into your main custom values yaml file. For example:

    type: "NodePort"
    enabled: true
    host: "<hostname>"
      enabled: true
      "": "<RELEASE>-managed-certificate"
      "": "gce"

This way, you don’t have to remember to pass the additional tls-values.yaml file when upgrading.

Upgrade Fusion on AKS

During installation, the script generates a file named aks_<cluster>_<release>_fusion_values.yaml. Use this file to customize Fusion settings. After making changes to this file, run the following command:

./ -c <existing_cluster> -p <aks_resource_group> -r <release> -n <namespace> \
  --values aks_<cluster>_<release>_fusion_values.yaml --upgrade

You will also use the --upgrade option to upgrade to a newer version of Fusion.

Verifying the Fusion Installation

In this section, we provide some tips on how to verify the Fusion installation. First, let’s review some useful kubectl commands.

Useful kubectl commands

When working with Kubernetes on the command-line, it’s useful to create a shell alias for kubectl, e.g.:

alias k=kubectl

Set the namespace for kubectl if not using the default:

kubectl config set-context --current --namespace=<NAMESPACE>

This saves you from having to pass -n with every command.

Get a list of running pods: k get pods

Get logs for a pod using a label: k logs –l

Get pod deployment spec and details: k get pods <pod_id> -o yaml

Get details about a pod events: k describe po <pod_id>

Port forward to a specific pod: k port-forward <pod_id> 8983:8983

SSH into a pod: k exec -it <pod_id> — /bin/bash

CPU/Memory usage report for pods: k top pods

Forcefully kill a pod: k delete po <pod_id> --force --grace-period 0

Scale up (or down) a deployment: k scale deployment.v1.apps/<id> --replicas=N

Get a list of pod versions: k get po -o jsonpath='{..image}' | tr -s '' '\n' | sort | uniq

Check Fusion Pods and Services

Once the install script completes, you can check that all pods and services are available using:

kubectl get pods

If all goes well, you should see a list of pods similar to:

NAME                                     READY   STATUS    RESTARTS   AGE
f5-admin-ui-669bb68f74-pjqtw           1/1     Running   0          19h
f5-api-gateway-6f7fdd69d-bt2nc         1/1     Running   0          19h
f5-auth-ui-b4dfd4f6d-f9tb6             1/1     Running   0          19h
f5-classic-rest-service-0              1/1     Running   1          19h
f5-devops-ui-768cf6f55b-wphsw          1/1     Running   0          19h
f5-fusion-admin-5888f54447-hprt6       1/1     Running   0          19h
f5-fusion-indexing-76dfb65dfd-929f4    1/1     Running   0          19h
f5-insights-686464b75b-6pzw5           1/1     Running   0          19h
f5-job-launcher-5d84c859c4-dl7s9       1/1     Running   0          19h
f5-job-rest-server-fb99fcfd7-lmqvd     1/1     Running   0          19h
f5-logstash-0                          1/1     Running   0          19h
f5-ml-model-service-8574b96c68-jqt88   2/2     Running   0          17h
f5-query-pipeline-77956f56f8-22wg7     1/1     Running   0          19h
f5-rest-service-77ff7d45-rbrn4         1/1     Running   0          19h
f5-rpc-service-67b6f4bf49-2d65g        1/1     Running   1          19h
f5-rules-ui-65d59dc5b4-5ntq9           1/1     Running   0          19h
f5-solr-0                              1/1     Running   0          19h
f5-webapps-7d9497c485-bbtg9            1/1     Running   0          19h
f5-zookeeper-0                         1/1     Running   0          19h

The number of pods per deployment / statefulset will vary based on your cluster size and replicaCount settings in your custom values yaml file. Also, don’t worry if you see some pods having been restarted as that just means they were too slow to come up and Kubernetes killed and restarted them. You do want to see at least one pod running for every service. If a pod is not running after waiting a sufficient amount of time, use kubectl logs <pod_id> to see the logs for that pod; to see the logs for previous versions of a pod, use: kubectl logs <pod_id> -p. You can also look at the actions Kubernetes performed on the pod using kubectl describe po <pod_id>.

To see a list of Fusion services, do:

kubectl get svc

For an overview of the various Fusion 5 microservices, see: