Meta AI发布FBDetect：实时识别0.005%性能下降，节省数千台服务器！
在大型云基础设施的管理中，即便是微小的性能下降也可能导致显著的资源浪费。例如，在 Meta 这样的公司中，一项应用的运行速度下降0.05% 看似微不足道，但在数百万台服务器同时运转的情况下，这种微小的延迟会积累成数千台服务器的浪费。因此，及时发现并解决这些微小的性能回归对 Meta 来说是一项巨大的挑战。为了解决这个问题，Meta AI 推出了 FBDetect，这是一个针对生产环境的性能回归检测系统，能够捕捉到最小的性能回归，甚至低至0.005%。FBDetect 能够监控约80万个时间序列，涵盖
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