High-concurrency systems often suffer from performance bottlenecks  [1]. This is often caused by waiting and context switching caused by fierce competition between threads for locks. As a cloud computing company, we place great emphasis on maximizing performance. In this regard, we transform the lightweight spin-lock and propose a concise parameter fine-tuning strategy, which can break through the system performance bottleneck with minimal risk conditions. This strategy has been validated in Apache RocketMQ [2], a high-throughput message queue system. Through this strategy, we achieved performance improvements of up to 37.58% on X86 CPU and up to 32.82% on ARM CPU. Furthermore, we confirmed the method’s consistent effectiveness across different code versions and IO flush strategies, demonstrating its broad applicability in real-world settings. This work offers not only a practical tool for addressing performance issues in high-concurrency systems but also highlights the practical value of formal techniques in solving engineering problems.