Performance Optimization Method for Traditional Chinese Medicine Information Systems in High-Concurrency and Big Data Scenarios Based on a Comprehensive Architecture

With the digital transformation of the Traditional Chinese Medicine (TCM) industry, TCM information systems are faced with the challenge of processing massive data and concurrent requests, which traditional architectures struggle to handle efficiently. To0020address this, this paper proposes a performance optimization method based on a comprehensive architecture. By integrating microservice architecture, distributed systems, Redis caching mechanisms, and distributed lock technology, the system's performance is significantly enhanced. Specifically, the microservice architecture enables horizontal scaling and fault isolation, improving system modularity and maintainability. The distributed system utilizes multiple nodes working collaboratively to enhance scalability and fault tolerance. The Redis caching mechanism reduces database access frequency by caching frequently used data, significantly improving data retrieval speed and system responsiveness. Lastly, the distributed lock technology ensures data consistency and integrity in high-concurrency scenarios. Experimental results demonstrate that this optimization solution significantly improves the system's concurrent processing capability, throughput, and response speed, while reducing database load and effectively ensuring data consistency. This provides strong support for the efficient and stable operation of TCM information systems.