Kubernetes Microservices with Redis and PostgreSQL

KUBERNETESDeploymentadvanced
Kubernetes Microservices with Redis and PostgreSQL — KUBERNETES deployment diagram

About This Architecture

Production-grade Kubernetes microservices architecture with three stateless services (service-a, service-b, service-c) fronted by an Ingress controller, backed by Redis and PostgreSQL StatefulSets for caching and persistence. Traffic flows from users through the Ingress to service-specific ClusterIP Services, which route to Deployments with horizontal pod autoscaling enabled, while backend services connect to Redis and PostgreSQL via dedicated Services with encrypted Secrets. The cluster enforces least-privilege access through ServiceAccounts, Roles, RoleBindings, and a default-deny NetworkPolicy, with persistent data protected by PersistentVolumeClaims mapped to PersistentVolumes via the standard StorageClass. Fork this diagram on Diagrams.so to customize node counts, add additional services, or adjust resource requests for your environment. This pattern demonstrates Kubernetes best practices including separation of concerns, declarative configuration via ConfigMaps, secure credential management, and stateful workload isolation.

People also ask

How do I design a production Kubernetes microservices architecture with caching, persistence, and security best practices?

This diagram shows a complete Kubernetes deployment with three microservices (service-a, service-b, service-c) exposed via Ingress, connected to Redis for caching and PostgreSQL for persistence via StatefulSets. It includes HPA for auto-scaling, RBAC with ServiceAccounts and Roles for least-privilege access, NetworkPolicy for default-deny security, and PersistentVolumes for stateful data protectio

KubernetesmicroservicesIngressStatefulSetRBACproduction-deployment
Domain:
Kubernetes
Audience:
Kubernetes platform engineers and DevOps architects deploying production microservices

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About This Architecture

Production-grade Kubernetes microservices architecture with three stateless services (service-a, service-b, service-c) fronted by an Ingress controller, backed by Redis and PostgreSQL StatefulSets for caching and persistence. Traffic flows from users through the Ingress to service-specific ClusterIP Services, which route to Deployments with horizontal pod autoscaling enabled, while backend services connect to Redis and PostgreSQL via dedicated Services with encrypted Secrets. The cluster enforces least-privilege access through ServiceAccounts, Roles, RoleBindings, and a default-deny NetworkPolicy, with persistent data protected by PersistentVolumeClaims mapped to PersistentVolumes via the standard StorageClass. Fork this diagram on Diagrams.so to customize node counts, add additional services, or adjust resource requests for your environment. This pattern demonstrates Kubernetes best practices including separation of concerns, declarative configuration via ConfigMaps, secure credential management, and stateful workload isolation.

People also ask

How do I design a production Kubernetes microservices architecture with caching, persistence, and security best practices?

This diagram shows a complete Kubernetes deployment with three microservices (service-a, service-b, service-c) exposed via Ingress, connected to Redis for caching and PostgreSQL for persistence via StatefulSets. It includes HPA for auto-scaling, RBAC with ServiceAccounts and Roles for least-privilege access, NetworkPolicy for default-deny security, and PersistentVolumes for stateful data protectio

Kubernetes Microservices with Redis and PostgreSQL

KubernetesadvancedmicroservicesIngressStatefulSetRBACproduction-deployment
Domain: KubernetesAudience: Kubernetes platform engineers and DevOps architects deploying production microservices
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Created by

May 27, 2026

Updated

May 27, 2026 at 5:10 PM

Type

deployment

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