Microsoft Azure Red Hat OpenShift (ARO) is a fully managed service built by Microsoft and Red Hat. It lets you run enterprise-grade Kubernetes on Azure without worrying about the complexity of managing the platform yourself.
If you want to create an ARO cluster but don’t want to get stuck in command-line code, here’s a simple, no-coding guide.
- Make Sure You Have the Basics Ready Before you start:
You need an active Microsoft Azure account.
Make sure you have permissions to create resources in your Azure subscription.
Decide which Azure region (like East US, West Europe, etc.) you want your cluster in.
- Enable ARO in Your Azure Account Go to the Azure Portal (https://portal.azure.com).
Search for Resource Providers in the search bar.
Find Microsoft.RedHatOpenShift and click Register.
- Create a Resource Group Think of a resource group as a folder where all your cluster-related resources will be stored.
In the Azure Portal, click Resource Groups → Create.
Give it a name (e.g., aro-rg) and select your region.
Click Review + Create and then Create.
- Set Up Networking ARO needs its own virtual network:
Go to Virtual Networks → Create.
Give it a name (e.g., aro-vnet) and choose the same region as your resource group.
Create two subnets: one for the master nodes and one for the worker nodes.
Save your network settings.
- Create the ARO Cluster Now the fun part:
In Azure Portal, search for Azure Red Hat OpenShift and click Create.
Select your resource group and give your cluster a name.
Choose the virtual network and subnets you set up earlier.
Decide how many worker nodes you want (start with 3 for most cases).
Pick the size of the worker machines based on your workload needs.
Click Review + Create, then Create.
It may take 30–40 minutes for Azure to deploy everything.
- Access Your Cluster Once it’s ready:
Go to your new ARO cluster resource in the Azure Portal.
Click OpenShift Console to log in with the credentials provided.
You’re now ready to start deploying applications!
Pro Tips
Always choose a region close to your users for better performance.
Start small and scale your worker nodes later as needed.
Use Azure’s built-in monitoring to keep an eye on costs and performance.
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