Kubernetes Microservices with Redis and PostgreSQL
About This Architecture
Production-grade Kubernetes microservices architecture with three stateless services (service-a, service-b, service-c) fronted by an ingress-nginx controller and LoadBalancer, each scaled independently via HPA. Traffic flows from external users through the LoadBalancer to the Ingress Controller Pod, which routes requests via Ingress Resource to ClusterIP Services backing containerized deployments with multiple replicas. A dedicated data-tier namespace isolates Redis and PostgreSQL StatefulSets with persistent volumes, credentials managed via Secrets, and shared configuration via ConfigMap. RBAC controls (ServiceAccount, Role) and NetworkPolicy enforce least-privilege access across namespaces. This architecture demonstrates Kubernetes best practices: namespace isolation, stateful data separation, horizontal auto-scaling, and declarative security policies. Fork and customize this diagram on Diagrams.so to match your service topology, storage requirements, or multi-region failover needs. Consider adding a service mesh (Istio/Linkerd) for advanced traffic management and observability if your team requires canary deployments or distributed tracing.
People also ask
How do I design a production Kubernetes cluster with multiple microservices, auto-scaling, and a persistent data tier?
This diagram shows a complete Kubernetes architecture: external traffic enters via LoadBalancer and ingress-nginx controller, routes to three independently scaled services (service-a, service-b, service-c) via ClusterIP Services and HPA, while a separate data-tier namespace isolates Redis and PostgreSQL StatefulSets with persistent volumes. RBAC (ServiceAccount/Role), NetworkPolicy, Secrets, and C
- Domain:
- Kubernetes
- Audience:
- Kubernetes platform engineers and DevOps architects designing production microservices clusters
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