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    # 如何架構金絲雀部署以提高百萬流量電商平台上版穩定性 - 林冠廷(Devin Lin) {%hackmd @DevOpsDay/B1cnefOI0 %} #### 》[議程介紹](https://devopsdays.tw/2024/speaker-page/1490) #### 》[填寫議程滿意度問卷|回饋建言給辛苦的講者](https://forms.gle/gD4nMmHDNfXhEwuD7) > 共筆從這開始 SHOPLINE使用GitFlow ## 部署時解決問題 - 快速定位問題 - 從 Log 中標示新舊版本的版號 - 建立儀表板監控 - 縮減影響範圍 - 使用金絲雀部署 - 區分店家 Stack 金絲雀部署:比較溫柔一台一台的更新抽換版本 - 用流量區分店家 - 使用 Argo Rollout 藍綠部署:快速將舊版本切換新版本(整個切換) ## Argo Rollout source: https://argoproj.github.io/rollouts/ > 支援金絲雀部署與藍綠部署兩種形式,也可以用人工的方式推進部署進度 ![IMG_3618](https://hackmd.io/_uploads/r1w8WzavC.jpg) 使用 Annotation 設定流量要怎麼走 ### Analysis https://argoproj.github.io/argo-rollouts/features/analysis/ - Background Analysis - Inline Analysis ### Automated Process 整合 `Argo Workflow` 來推進流程 ### Dashboard ![image](https://hackmd.io/_uploads/HkkwMGpwA.png) ![image](https://hackmd.io/_uploads/rywufzawR.png) 查看新版本上線後是否有出現問題 使用三階段部署,可以在第一階段快速發現問題 ###結語 - 架構 & 流程:熟悉業務場景,客戶是否可以接受新舊版本 - 技術 & 工具: Argo - 跨部門合作 ###### tags: `DevOpsDays Taipei 2024` 共筆聊天室:

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