A/B Testing performance wins on NestJS API servers

An exploration of using Statsig to improve the performance of NestJS API servers reveals the power of conducting experiments to optimize request processing time and CPU usage. Drawing inspiration from Facebook's backend engineering practices, Statsig instruments its backend with metrics to facilitate performance improvements. The article describes how removing asynchronous evaluations in the backend led to unnecessary processes that, once identified, were targeted for optimization. By implementing feature gates and leveraging existing Statsig SDKs, the team measured the impact of these changes, revealing a modest reduction in CPU usage and a notable decrease in API latency for the specific endpoint impacted. These improvements highlight the importance of targeted performance experiments in enhancing customer integrations, user experiences, and operational scalability.