Microservices Architecture

This project showcases a production-ready microservices architecture built to handle high-traffic scenarios. The system is designed with industry best practices including service discovery, API gateway patterns, distributed tracing, and fault tolerance. Each microservice is independently deployable and scalable, communicating through RESTful APIs and message queues. The architecture implements circuit breaker patterns to prevent cascading failures and uses distributed caching to optimize performance. The project demonstrates my understanding of backend system design, containerization with Docker, and deployment orchestration. It includes comprehensive monitoring, logging, and alerting systems to ensure reliability in production environments.