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    # 如何利用 AI 進行效能測試,持續發布品質穩定的軟體 - 黃炳杰(Mmik Huang) {%hackmd B44mr9JvRMSCm5gVjQMNXA %} ##### Challenge - Design - Features testing - Customer support - reproduce - Faster release cycle ##### Pain points - hard to reproduce - improvement: collectdata, get anomaly, investigate - hard to isolate - hard to define baseline - take baseline from customer zero - ai analysis + ##### tool/model - [Luminol](https://github.com/linkedin/luminol) - Arima 每個build要至少放30個VM去跑 資料都有time base特性,若是可以identify time就可以進去細看,可能發生的問題點。 比較好的investing方式,是用code review,是最省事的方式 第二個,發生異常的原因,所以會額外去收custom zero的資料,因為那是客戶會正常發生 Investigate action 1-2-3 - code review/ design review - keep monitor from customer zero - collect dump - reboot(客戶可能不會接收要reboot) ###### tags: `DevOpsDays Taipei 2019

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