Blog
Azure
3
minutes

Deploy a Production-Ready AKS Cluster on Azure in 10 Minutes

Launch a production-ready Azure AKS cluster in under 10 minutes, no scripts or DevOps expertise required. Learn how Qovery simplifies AKS setup with full observability, autoscaling, and zero maintenance.
September 26, 2025
Romaric Philogène
CEO & Co-founder
Summary
Twitter icon
linkedin icon

If you’re building on Microsoft Azure and want a fast way to get a production-ready AKS cluster without diving into ARM templates, Helm charts, or Terraform - this guide is for you.

In less than 10 minutes, you’ll provision and configure an AKS cluster with best practices, full observability, TLS, autoscaling, and zero manual maintenance - all through the Qovery web console.

Why Use Qovery to Deploy Azure AKS?

Qovery handles the AKS setup, config, and lifecycle management for you. You connect your Azure account, choose a region, and Qovery does the rest:

  • Creates the AKS cluster (multi-AZ, production-tuned)
  • Installs all required components (Cert-Manager, Prometheus, Promtail, etc.)
  • Keeps everything up to date automatically - even the Kubernetes version

You get full control over your infrastructure (Qovery is Bring Your Own Cloud) while offloading the complexity of setting up and maintaining your cluster.

Prerequisites

  • An Azure account with an active subscription
  • No Kubernetes, Azure CLI, or Helm knowledge needed

Step-by-Step: Deploy AKS in 10 Minutes

1. Log in to the Qovery Console

Go to https://console.qovery.com and sign up or log in.

Login/sign-up page on Qovery's console

2. Create an Organization

Create a new Team Organization - this is where you’ll manage your clusters and environments.

Create your organization on Qovery

3. Create a Cluster

a/ Choose Azure as your cloud provider

Select Azure - AKS (Qovery Managed) cluster

b/ Select your region (e.g., westeurope, eastus)

Give a name to your cluster and select the region on Qovery

c/ Enter your Azure Service Principal credentials

Set your Azure credentials on Qovery

d/ Set your type of nodes (you can update them later on)

Set your type of cluster nodes on Qovery

Qovery will:

  • Create an AKS cluster with production-ready settings
  • Set up the VNET, subnets, and availability zones
  • Enable autoscaling and integrate with the Azure API for lifecycle automation

4. Deploy the Cluster

Click “Create and Deploy”. Cluster provisioning typically takes 15–25 minutes.

Create your AKS cluster on Qovery

Behind the scenes, Qovery installs:

  • Let’s Encrypt + Cert-Manager for automatic TLS
  • Prometheus and Promtail for metrics and logs
  • Kubernetes add-ons tuned for reliability, scalability, and security

This is what you should see when your AKS cluster is ready:

AKS cluster ready on Qovery

What You Get Out of the Box

Your AKS cluster, fully operational and production-grade:

  • Multi-AZ setup with Azure-managed VMs
  • VNET and subnet isolation
  • Auto-managed TLS via Cert-Manager and Let’s Encrypt
  • Observability: Prometheus + Promtail pre-installed
  • Automatic Kubernetes version upgrades and patching
  • Cost-efficient autoscaling with Qovery’s default node pool config

Qovery handles upgrades, patching, and the health of all installed components - no maintenance required from your side.

Final Thoughts

AKS is powerful, but provisioning and managing it manually takes time and experience. With Qovery, you can go from a clean Azure account to a production-ready Kubernetes cluster in under 10 minutes - no scripts, no DevOps team needed.

Whether you’re:

  • A product needing fast infra setup
  • Developers who want to ship faster and reliably

Qovery helps you run AKS without the pain of Kubernetes. Try it now!

Share on :
Twitter icon
linkedin icon
Tired of fighting your Kubernetes platform?
Qovery provides a unified Kubernetes control plane for cluster provisioning, security, and deployments - giving you an enterprise-grade platform without the DIY overhead.
See it in action

Suggested articles

AI
Compliance
 minutes
Agentic AI infrastructure: moving beyond Copilots to autonomous operations

The shift from AI copilots to autonomous agents is redefining infrastructure requirements. Discover how to build secure, stateful, and compliant Agentic AI systems using Kubernetes, sandboxing, and observability while meeting EU AI Act standards

Mélanie Dallé
Senior Marketing Manager
Kubernetes
8
 minutes
The 2026 guide to Kubernetes management: master day-2 ops with agentic control

Effective Kubernetes management in 2026 demands a shift from manual cluster building to intent-based fleet orchestration. By implementing agentic automation on standard EKS, GKE, or AKS clusters, enterprises eliminate operational weight, prevent configuration drift, and proactively control cloud spend without vendor lock-in, enabling effective scaling across massive fleets.

Mélanie Dallé
Senior Marketing Manager
Kubernetes
 minutes
Building a single pane of glass for enterprise Kubernetes fleets

A Kubernetes single pane of glass is a centralized management layer that unifies visibility, access control, cost allocation, and policy enforcement across § cluster in an enterprise fleet for all cloud providers. It replaces the fragmented practice of switching between AWS, GCP, and Azure consoles to govern infrastructure, giving platform teams a single source of truth for multi-cloud Kubernetes operations.

Mélanie Dallé
Senior Marketing Manager
Kubernetes
 minutes
How to deploy a Docker container on Kubernetes (and why manual YAML fails at scale)

Deploying a Docker container on Kubernetes requires building an image, authenticating with a registry, writing YAML deployment manifests, configuring services, and executing kubectl commands. While necessary to understand, executing this manual workflow across thousands of clusters causes severe configuration drift. Enterprise platform teams use agentic platforms to automate the entire deployment lifecycle.

Mélanie Dallé
Senior Marketing Manager
Kubernetes
Terraform
 minutes
Managing Kubernetes deployment YAML across multi-cloud enterprise fleets

At enterprise scale, managing provider-specific Kubernetes YAML across multiple clouds creates crippling configuration drift and operational toil. By adopting an agentic Kubernetes management platform, infrastructure teams abstract cloud-specific configurations (like ingress controllers and storage classes) into a single, declarative intent that automatically reconciles across 1,000+ clusters.

Mélanie Dallé
Senior Marketing Manager
Kubernetes
Cloud
AI
FinOps
 minutes
GPU orchestration guide: How to auto-scale Kubernetes clusters and slash AI infrastructure costs

To stop GPU costs from destroying SaaS margins, teams must transition from static to consumption-based infrastructure by utilizing Karpenter for dynamic provisioning, maximizing hardware density with NVIDIA MIG, and leveraging Qovery to tie scaling directly to business metrics.

Mélanie Dallé
Senior Marketing Manager
Product
AI
Deployment
 minutes
Stop Guessing, Start Shipping. AI-Powered Deployment Troubleshooting

AI is helping developers write more code, faster than ever. But writing code is only half the story. What happens after? Building, deploying, debugging, scaling. That's where teams still lose hours.We're building Qovery for this era. Not just to deploy your code, but to make everything that comes after writing it just as fast.

Alessandro Carrano
Head of Product
AI
Developer Experience
Kubernetes
 minutes
MCP Server is the future of your team's incident’s response

Learn how to use the Model Context Protocol (MCP) to transform static runbooks into intelligent, real-time investigation tools for Kubernetes and cert-manager.

Romain Gérard
Staff Software Engineer

It’s time to change
the way you manage K8s

Turn Kubernetes into your strategic advantage with Qovery, automating the heavy lifting while you stay in control.