From GC Jitter to Stable Low-Latency: High-Performance Optimization with Span and Memory in ShenDesk
Background ShenDesk is an enterprise-grade, real-time customer service and visitor behavior tracking system, supporting both SaaS and On-Premises deployments. Built on the .NET ecosystem, its core architecture features high-concurrency WebSocket channels, real-time message processing, visitor tracking data stream analysis, and extensible Open APIs. As the creator of ShenDesk, I have overseen the system’s evolution from its initial "proof-of-concept" phase to its current state: a robust solution capable of supporting demanding commercial environments. Along this journey, the platform has undergone multiple performance bottlenecks and architectural refactorings. Driven by these real-world engineering challenges, I began a deep dive into the .NET memory model and high-performance programming techniques. Introduction In an era where high concurrency and low latency have become the default expectations, modern .NET applications can no longer afford "unconscious memory allo...