Eventful Hotel Backend Microservices
Budget: ₹600 – ₹1,500 INR
Event-Driven Microservices Backend System
Designed and implemented a scalable event-driven microservices architecture for a hotel booking platform, leveraging asynchronous communication and distributed system design principles. The system is decomposed into independently deployable services including User, Hotel, Booking, Payment, Notification, and Rating services, ensuring loose coupling and high cohesion.
Implemented Apache Kafka as the core event streaming platform to enable reliable, asynchronous inter-service communication. Critical workflows such as booking lifecycle management follow an event-driven saga pattern, where the Booking Service initiates transactions (PENDING state), the Payment Service processes transactions, and emits events to update booking status (CONFIRMED/FAILED), ensuring eventual consistency.
Integrated Spring Boot and Spring Cloud ecosystem, utilizing:
Eureka Server for service discovery
Spring Cloud Gateway as API Gateway for centralized routing and security
Feign Clients for declarative inter-service communication (where synchronous calls are required)
Resilience4j for fault tolerance (Circuit Breaker, Retry, Rate Limiting)
Ensured externalized configuration management via Spring Cloud Config Server, and designed the system to be cloud-ready with environment-based configurations.
Adopted event-driven notification handling, where the Notification Service consumes Kafka topics to trigger real-time updates (e.g., booking confirmations).
Architected the system with a focus on scalability, fault tolerance, eventual consistency, and high availability, making it production-oriented and extensible for real-world distributed environments.
Designed and implemented a scalable event-driven microservices architecture for a hotel booking platform, leveraging asynchronous communication and distributed system design principles. The system is decomposed into independently deployable services including User, Hotel, Booking, Payment, Notification, and Rating services, ensuring loose coupling and high cohesion.
Implemented Apache Kafka as the core event streaming platform to enable reliable, asynchronous inter-service communication. Critical workflows such as booking lifecycle management follow an event-driven saga pattern, where the Booking Service initiates transactions (PENDING state), the Payment Service processes transactions, and emits events to update booking status (CONFIRMED/FAILED), ensuring eventual consistency.
Integrated Spring Boot and Spring Cloud ecosystem, utilizing:
Eureka Server for service discovery
Spring Cloud Gateway as API Gateway for centralized routing and security
Feign Clients for declarative inter-service communication (where synchronous calls are required)
Resilience4j for fault tolerance (Circuit Breaker, Retry, Rate Limiting)
Ensured externalized configuration management via Spring Cloud Config Server, and designed the system to be cloud-ready with environment-based configurations.
Adopted event-driven notification handling, where the Notification Service consumes Kafka topics to trigger real-time updates (e.g., booking confirmations).
Architected the system with a focus on scalability, fault tolerance, eventual consistency, and high availability, making it production-oriented and extensible for real-world distributed environments.