About This Architecture

Azure Kubernetes Service cluster running a three-tier microservices platform with dedicated system, user, and autoscale node pools across kube-system, ingress-nginx, monitoring, and application namespaces. Traffic flows from nginx-ingress through ClusterIP services routing to user-svc, order-svc, and payment-svc deployments, each with replicated pods consuming ConfigMaps, Secrets, and Persistent Volume Claims. Prometheus and Grafana pods monitor cluster health via metrics-server and Application Insights, while Cluster Autoscaler and HPA Controller manage dynamic scaling across Standard_D4s_v3 and Standard_D8s_v3 node SKUs. This architecture demonstrates production-grade AKS patterns including namespace isolation, managed identity integration with Container Registry, and observability-first design. Fork and customize this diagram to model your own multi-tenant microservices topology on Azure. The separation of system, user application, and autoscaling infrastructure ensures blast radius containment and independent resource governance.

People also ask

How do I structure an Azure Kubernetes Service cluster for production microservices with proper namespacing, monitoring, and autoscaling?

This diagram shows a production AKS cluster organized into system, ingress-nginx, monitoring, and application namespaces, each running on dedicated node pools. Microservices (user-svc, order-svc, payment-svc) expose ClusterIP services routed through nginx-ingress, while Prometheus and Grafana provide observability, and Cluster Autoscaler plus HPA Controller manage dynamic scaling.

AKS Cluster Internals - Microservices Platform

AzureadvancedKubernetesAKSMicroservicesMonitoringDevOps
Domain: KubernetesAudience: Kubernetes platform engineers deploying microservices on Azure Kubernetes Service (AKS)
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Created by

August 1, 2026

Updated

August 1, 2026 at 4:45 PM

Type

architecture

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