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一、前言在互联网流量竞争白热化的时代,A/B实验已成为产品迭代的标准决策工具。当实验数量从数十增长到数百甚至数千数万时,传统的人工巡检模式遭遇瓶颈:需要专业的同学每日投入4-6小时逐个检视实验数据,判断其上线或下线;即使如此,由于时间压力和注意力限制 ...
一毫秒的代价:为什么延迟会塑造用户体验 当我们谈论 API 性能时,往往会不自觉地陷入一套“工程化”的语境:响应时间、CPU 周期、连接池、以及偶尔翻出来看的 flame graph。但在真实世界的系统中,尤其是全球化的电商与支付平台里,延迟有着非常“人性化”的成本。 单次 50 或 100 ...