Meta AI發佈FBDetect：實時識別0.005%性能下降，節省數千臺服務器！
在大型雲基礎設施的管理中，即便是微小的性能下降也可能導致顯著的資源浪費。例如，在 Meta 這樣的公司中，一項應用的運行速度下降0.05% 看似微不足道，但在數百萬臺服務器同時運轉的情況下，這種微小的延遲會積累成數千臺服務器的浪費。因此，及時發現並解決這些微小的性能迴歸對 Meta 來說是一項巨大的挑戰。爲了解決這個問題，Meta AI 推出了 FBDetect，這是一個針對生產環境的性能迴歸檢測系統，能夠捕捉到最小的性能迴歸，甚至低至0.005%。FBDetect 能夠監控約80萬個時間序列，涵蓋
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