Kubernetes Microservices with Redis and PostgreSQL
About This Architecture
Three-tier microservices architecture on Kubernetes with shared Redis cache and PostgreSQL database demonstrates production-grade service mesh patterns. External traffic flows through an Ingress Controller to three independent microservices (MS1, MS2, MS3), each deployed as separate Deployments with dedicated Pods and Services within a single App namespace. All microservices connect to a centralized Redis Service for caching and a PostgreSQL StatefulSet with persistent volume claims for durable data storage. This architecture enables independent scaling, rolling updates, and fault isolation while maintaining shared state through Redis and PostgreSQL. Fork this diagram on Diagrams.so to customize service counts, add ConfigMaps, or integrate monitoring sidecars for your Kubernetes deployment.
People also ask
How do I architect microservices on Kubernetes with shared Redis cache and PostgreSQL database?
Deploy each microservice as a separate Deployment with dedicated Pods and Services within a namespace, route external traffic through an Ingress Controller, and connect all microservices to centralized Redis Service for caching and PostgreSQL StatefulSet with PVCs for persistent data storage.
- Domain:
- Kubernetes
- Audience:
- DevOps engineers deploying microservices on Kubernetes
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