High concurrency means a system’s ability to handle multiple tasks or users simultaneously without performance degradation. It ensures that many operations can occur at the same time.
Performance optimization for high-concurrency and distributed systems involves techniques like load balancing, caching, asynchronous processing, and database optimization to ensure that the software can efficiently handle a large number of concurrent requests. By implementing these strategies, developers can enhance the system’s responsiveness, scalability, and reliability.
In high concurrency scenarios, software performance tuning and optimization are crucial to ensure the system can handle a large number of simultaneous users efficiently. This process involves identifying bottlenecks, optimizing code, and utilizing various techniques to improve performance. By utilizing caching, load balancing, and asynchronous processing, we can enhance system scalability and responsiveness in high concurrency scenarios.
