Training Management System Based on Microservice Framework Technology

To address the shortcomings of existing training management systems, such as high complexity, poor scalability, and inefficient development and configuration, a specialized training management system has been designed and implemented. In this system, the microservice architecture is the core technology of the platform. Microservices were developed and deployed using Spring Cloud and Docker, enabling each service to be independently developed, tested, and deployed. Network topology balancing was achieved through Nginx, and service discovery and registration were handled by Eureka. On this basis, a message queuing mechanism was established using the Kafka protocol, and Redis caching technology was used to improve data access efficiency. For the database aspect, MySQL and MongoDB were utilized for data storage, and Flyway was employed for managing different versions of the database. Additionally, OAuth2 was used for user authentication and authorization to ensure the overall security of the system. In performance testing, JMeter software was used to simulate real-time attendance scenarios for 50, 100, and 500 students. The experimental results demonstrated that the algorithm did not encounter any errors under three different levels of concurrency, and the response time was within 0.5 seconds, showing stable performance. Overall, this project fully leverages the flexibility and scalability of the microservice framework, greatly improving the operational efficiency of educational institutions and the learning experience of students, while laying a solid theoretical foundation for future expansion and maintenance.