Building a Doctor Appointment Booking Platform with Event-Driven Architecture | SAGA Pattern

Distributed a Doctor Appointment Booking Platform with Event-Driven Architecture This is a production-grade, cloud-native doctor appointment booking platform built with Java, Spring Boot, and Microservices. It has three roles, and I’ve built a dedicated portal for each role: 1. Patient/Users: They can search for doctors, book appointments by clinic and time slot, pay online, and leave feedback after their visit. 2. Doctor: Doctor onboarding, profile management, clinic setup, weekly schedule management, and payment management. 3. Admin: Handles doctor verification, dashboard management, platform-level analytics, etc. The system uses an event-driven architecture with RabbitMQ, centralized authentication, full observability, and containerized deployments. Features: ➥ 8 independent domain microservices: Auth, Patient, Doctor, Appointment, Payment, Notification, Feedback, and Admin ➥ 3 infrastructure services: API Gateway, Config Server, and Eureka Server ➥ JWT-based authentication at the API Gateway with RSA signing, refresh tokens, Redis-backed token blacklisting, and rate limiting ➥ Doctor onboarding, clinic setup, schedule management, and automated appointment slot generation ➥ Appointment booking with Redis-based distributed slot locking and optimistic concurrency control to prevent double-booking under concurrent requests ➥ Choreography-based Saga for payment and refund lifecycle — appointment state transitions (pending → confirmed → cancelled) driven by RabbitMQ domain events across Payment, Appointment, and Notification services ➥ Payment integration with Razorpay/Stripe, including payment verification and automated refunds on cancellation ➥ Async domain events via RabbitMQ — notifications, refunds, and feedback eligibility triggered by appointment state changes ➥ In-app notification feed and post-appointment review and rating system ➥ Admin panel for doctor verification and platform-level analytics ➥ Centralized Config Server (Git-backed), Eureka service discovery, and rate-limited API Gateway ➥ Full observability with Prometheus metrics, Grafana dashboards, Loki log aggregation, and OpenTelemetry tracing ➥ Fully containerized with Docker and deployed on a local Kubernetes cluster Technology 🚀 Backend: Spring Boot, Spring Cloud, Event-Driven Microservices, SAGA Pattern, OpenFeign, RabbitMQ, Resilience4j (Circuit Breaker, Retry, Rate Limiter) Frontend: TypeScript, React, Tailwind CSS Databases: PostgreSQL, MongoDB, Redis, Flyway Observability: Prometheus, Grafana, Loki, Tempo, OpenTelemetry Cloud: Docker, Kubernetes Resources 💡 Github: https://github.com/ripanbaidya/lunecare Website: https://ripanbaidya.vercel.app Connect with me 🌐 LinkedIn:   / ripanbaidya   Github: https://github.com/ripanbaidya Instagram:   / riwinbdya