Group 1 - The backend project is built on a microservices architecture using SpringCloud and SpringBoot, with the frontend on a WeChat mini-program mall [1] - Key components include service gateway Zuul, service registration and discovery using Eureka and Ribbon, and service fault tolerance with Hystrix [1] - The architecture supports distributed locking with Redis, service calls via Feign, and message queuing with Kafka [1] Group 2 - The characteristics of the flash sale scenario include a significant surge in website traffic as many users attempt to purchase simultaneously, with the request volume far exceeding available inventory [1] - The design philosophy for the flash sale architecture emphasizes traffic limiting, peak shaving, asynchronous processing, and memory caching to enhance system performance [1] - Scalability is crucial for supporting more users and higher concurrency, allowing for elastic expansion of the system as traffic increases [1]