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    # 從 VSM 到 DevOps 指標了解交付能力 - 楊琬晴 (Rose Yang) {%hackmd @DevOpsDay/BJXaW1_k6 %} 講者:Rose Yang 官網:https://cpht.pro ## 提升交付能力? > 做到下列想法,能夠提升交付能力? - 增加自動化比例 - 點滿工程師技能樹 - 加入好的工具(人) ### 一個軟體服務的誕生 軟體服務的**價值流** - 從商業夠想到向客戶交付價值,所經歷的一系列流程活動 ### 陷入盲點 - 專注在價值流中的局部環節(局部優化) - 改善不一定解決貧頸點 - 缺乏共同的目標、多頭馬車(每個部門、人員的目標項目不一致) - Burnout ### 理解了流向,下一步是? 引用 Peter Drucker: > If you can't measure it, > You can't improve it. ### 價值流程圖(Value Stream Mapping, VSM) VSM是從製造業過來的 - 設計與分析 - 開發 - 程式碼整合 - 開發節奏落差 - 經驗、任務顆粒度 - 高耦合 - 大批量合併 - 程式碼衝突、審核等待 - 單元測試 - 部署到預備環境 - 端到端測試 - 需求落差 - 資源(人)等待 - 部署到正式環境 - 流程等待 - 資源(人、運算資源)等待 - 部署相依性 **從關鍵指標,識別整體流程的瓶頸與浪費** **評估關鍵指標** 1. 前置時間(Lead Time) 2. 處理時間(Process Time) 3. 完成率與準確率(%C/A) ### DORA - 軟體交付與維運績效指標 - 開發 - 提交程式碼(前置時間開始計算) - 整合 - 建置 - 測試 - 部署 - 部署頻率 - 維護 - 變更失敗率 - 可靠性 ### Devops績效: > 來自 Google dora 2022 年度報告 - 部署頻率 - 前置時間 - 平均復原時間 - 變更失敗率 ### 希望要有更好的績效 **把指標當成目標時,會失去指標的意義。** - 失衡的指標 - 虛榮的數字(工程數據) - 缺乏理解設立指標的用意 - 缺乏識別團隊、服務等特性 - 不願調整指標 - 變相鼓勵團隊間競爭 > 團隊內改善 - 與商業目標脫鉤 指標,是用於讓團隊改善的方向 ### 以業務價值為目標 > OKR - O 目標:改善延遲交付,提升客戶信賴度 - KR 關鍵成果 - 優化前置時間 - 減少批量大小 - 建立採取行動 - 需求 - 小粒度的需求(垂直切割) - 需求不應該大到三、四個月才能完成 - 開發 - 小步迭代(短週期分支) - 低耦合架構 - 交付 - 保持可發佈狀態 - 部署與維運 - 可靠性 - 有意義且可採取行動的監控機制 `可以不要把什麼都往slack送了嗎` - 觀察哪些工程指標 - 需求 - 總產出量 - Story point - 燃盡圖 - 開發 - ## DORA 三個面向的平衡 - 產出量 - 穩定性 - 可靠性 ### 影響交付與維運績效的面相 - 流程(協定) - 情境:跨團隊的交接與等待 - 前置時間 - 部署頻率 - 技術(手段) ==技術很酷想要導入->團隊可以支撐這個技術嗎== - 情境:拼裝了一條可用但只有少數才懂的工具鏈 - 監控(指引) - 情境:Info, Warning, Critical 無差別攻擊的資訊 - 文化(支持) - 情境:對「人」不對事 - 可以多了解 威康定律 **DEVOPS為什麼會失敗->文化問題** 書籍:devops handbook ==平衡取決於context== ==指標要回歸業務目標== ----

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