Kubernetes Microservices Architecture With Cache And Database
About This Architecture
Production-ready Kubernetes microservices architecture featuring Ingress-based traffic routing to three independent service deployments with shared Redis caching and PostgreSQL persistence. External traffic flows through an Ingress Controller to dedicated Services, each backed by Deployments managing individual Pods that connect to centralized Redis Cache and PostgreSQL StatefulSets with persistent volume claims. This pattern demonstrates Kubernetes best practices for stateful workload management, service discovery, and data layer isolation in multi-service environments. Fork this diagram on Diagrams.so to customize service counts, swap Redis for Memcached, or add horizontal pod autoscaling annotations. StatefulSets with PVCs ensure data durability across pod restarts and node failures.
People also ask
How do I design a Kubernetes microservices architecture with shared Redis cache and PostgreSQL database?
Deploy microservices as separate Deployments behind Services, route traffic via Ingress Controller, and use StatefulSets with PVCs for Redis caching and PostgreSQL persistence to ensure data durability.
- Domain:
- Kubernetes
- Audience:
- Kubernetes platform engineers designing production-grade microservices deployments
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