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    # DevOps 困局與平台工程 - 劉栢峰 Bryan Liu {%hackmd @DevOpsDay/B1cnefOI0 %} #### 》[議程介紹](https://devopsdays.tw/2024/speaker-page/1136) #### 》[填寫議程滿意度問卷|回饋建言給辛苦的講者](https://forms.gle/FHay9w1NJjwdRHhv9) > 共筆從這開始 ✨ 內容 Blog: [DevOps 困局與平台工程](https://pofengliu.github.io/devops-notes/#/page/devops%20%E8%AE%8A%E9%9D%A9%E5%9B%B0%E5%B1%80%E8%88%87%E5%B9%B3%E5%8F%B0%E5%B7%A5%E7%A8%8B) <== 演講內容 ✨ DevOps 變革困局與平台工程簡報 [SpeakerDeck](https://speakerdeck.com/bryan0817/devops-bian-ge-kun-ju-yu-ping-tai-gong-cheng) ![image](https://hackmd.io/_uploads/SkYRm0qwA.png) ![image](https://hackmd.io/_uploads/Bk9NFjovA.png) 平台工程師(PE)的薪資在歐洲來說比devops還高 :D ![image](https://hackmd.io/_uploads/B1UOtiovC.png) 平台工程的基本原則 1. 明確的使命和角色 2. 將你的平台視為產品 3. 專注於常見問題 4. 膠水是有價值的 5. 不要重複發明輪子 ![image](https://hackmd.io/_uploads/Sk55KjjwC.png) 重要的是 1. 探索有效性 2. intentionally 故意地強調與優化 3. 減少企業組織間的橫切面的成本 ![image](https://hackmd.io/_uploads/rJEVqojDR.png) SRE(橘色區域) 主要面對內部開發團隊 ![image](https://hackmd.io/_uploads/SyUUqsoPA.png) LINE 的內部平台工程模組 平台 Observability - prometheus - Grafana - Gatus Infra/Ops - terraform GitOps - ArgoCD - kustomize OpenFlagr 導入TBD, 導入feature toggle是重要的. 可以實現A/B testing 以及快速的部署. feature toggle還有低延遲的特性.] 有共通的戰略對於平台工程是重要的. ### 平台價值 降低認知負荷 Platform Engineering 更重視的是 develop experience 開發者體驗. ~~公司轉型除了擴編人力之外~~疫情結束後 headcount freeze, 所以倡導在工作時段, 利用20%的時間鼓勵大家成立 side project 來逐步完成內部開發者所需. 將數據可視化後, 更能得到高層的支持, 也激勵開發者更願意主動優化. 你想解決的是雲端可觀測性的不易,但開發人員心裡想的只如何能方便查找 log 解決眼前問題。~~在推行數據可視化的~~經驗是不管推出什麼樣的平台與產品,不管結果有多成功,初期總是有反對的聲音。 ## 產品思維 > 專注在有需求的團隊上 新的產品與服務, 一律要求使用新的標準. 舊的服務, 也需要找時間升級以滿足新的標準. > 專注在解決問題而非擴張 初期應該專注在重視使用者體驗與之建立深度連接, 而非做那些不具ㄍ ![IMG_3612](https://hackmd.io/_uploads/H10I1hsvR.png) 建議要有可視化的 Dashboard 來比較才能知道不同團隊E2E的量化 ![image](https://hackmd.io/_uploads/SkQWb2oDC.png) > Visualization is Leverage ## PE 團隊成熟度模型 ![image](https://hackmd.io/_uploads/S1JRbhsvR.png) ## PE team 的價值 ![image](https://hackmd.io/_uploads/r1rWM3sP0.png) ###### tags: `DevOpsDays Taipei 2024` ---- ## 共筆聊天室: - [Grafana Alloy 最佳實踐:多租户設計、性能優化與端到端追蹤](https://coscup.org/2024/en/session/VESN7N) 我們團隊也經歷過從 Grafana Loki 轉移回 Elasticsearch,依據開發團隊的使用需求

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