Utilizing a high-performance database connection pool, such as HikariCP, can decrease the overhead of database connections and improve the efficiency of database operations.
By utilizing caching technology, such as Redis, it is possible to cache hot data, reduce the number of database accesses, and improve system performance.
By incorporating asynchronous processing techniques, such as utilizing multiple threads or asynchronous frameworks, time-consuming operations can be executed asynchronously to improve system throughput.
By utilizing load balancing technology such as Nginx or a load balancer, requests can be distributed to multiple servers to reduce the strain on a single server and enhance the system’s concurrency capabilities.
By utilizing monitoring and optimization tools such as Spring Boot Actuator or JProfiler, you can track the performance metrics of a system and promptly identify and resolve performance bottlenecks.
By using a distributed architecture, such as employing a microservices architecture, the system can be divided into multiple services, each of which can be independently deployed and scaled, thus improving system stability and concurrency capabilities.
By configuring the thread pool appropriately, you can adjust the size and other parameters based on the actual situation of the system to improve performance and stability.
