About This Architecture

Multi-cloud healthcare microservices architecture combining Spring Boot and Node.js services behind a unified API Gateway with JWT authentication and intelligent routing. Web and mobile clients connect through a load balancer to an API Gateway that enforces rate limiting and validation before routing requests to domain-specific services: Doctor, Patient, and Appointment services on Spring Boot backed by PostgreSQL, plus Notification, Telemedicine, Payment, and AI Symptom services on Node.js with MongoDB persistence. Kafka serves as the central message broker enabling asynchronous communication between services, while Redis provides distributed caching and Service Discovery ensures dynamic service registration. Prometheus and Grafana enable comprehensive observability across the entire Kubernetes cluster. This architecture demonstrates cloud-agnostic polyglot persistence, event-driven patterns, and separation of concerns critical for HIPAA-compliant healthcare systems requiring high availability and independent service scaling. Fork this diagram on Diagrams.so to customize service boundaries, add additional data stores, or integrate cloud-specific managed services like AWS RDS or Azure Cosmos DB. Consider adding a dedicated secrets management layer and circuit breakers between services for production deployments.

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How do you design a scalable multi-cloud healthcare microservices architecture with Spring Boot and Node.js?

This diagram shows a production healthcare microservices pattern using Spring Boot services (Doctor, Patient, Appointment) with PostgreSQL and Node.js services (Notification, Telemedicine, Payment, AI Symptom) with MongoDB, unified behind an API Gateway with JWT auth and rate limiting. Kafka enables asynchronous inter-service communication, Redis provides caching, and Prometheus/Grafana deliver ob