About This Architecture

Multi-cloud healthcare microservices architecture orchestrating Spring Boot and Node.js services across three Kubernetes namespaces with polyglot persistence. Web and mobile clients route through a load balancer and API Gateway providing JWT authentication, rate limiting, and request validation before reaching Doctor, Patient, and Appointment services backed by PostgreSQL, alongside Notification, Telemedicine, Payment, and AI Symptom services using MongoDB. Kafka message broker enables asynchronous communication between services, Redis Cache accelerates API responses, and Prometheus with Grafana provide observability across the entire cluster. This architecture demonstrates production-grade healthcare system design balancing service isolation, data consistency, real-time capabilities, and operational visibility. Fork and customize this diagram on Diagrams.so to adapt namespaces, add additional microservices, or integrate cloud-specific managed services like AWS RDS or Azure Cosmos DB.

People also ask

How do you design a scalable healthcare microservices architecture on Kubernetes with multiple programming languages and databases?

This diagram shows a production healthcare platform using three Kubernetes namespaces: spring-boot-services for Doctor, Patient, and Appointment services with PostgreSQL; nodejs-services for Notification, Telemedicine, Payment, and AI Symptom services with MongoDB; and infrastructure namespace for Redis, Kafka, Service Discovery, and monitoring. An API Gateway handles routing, authentication, and