Proactive Continuous Monitoring - 吳菖育（ChangYu Wu）

Welcome to DevOps Days 2019 Collaborative Notes

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Getting started from here: https://hackmd.io/@DevOpsDay/2019
Click top left to expand Agenda on the mobile.

最大興趣是看 Log 的人

建議用時間序列來觀察log有無異常（標準差）

  • 簡單平均法：預測突發流量
  • 移動平均法：預測下個相同時間點會有相同流量
  • Wave 的觀察: 波的最大值 最小值 上下斜率，去預測
黑箱監控
  • Response time
  • Domain name
  • DNS reslove
  • …
安全性議題
主動式持續監控
  • Testing
    • 效能瓶頸
    • 錯誤修復
    • …
  • Monitoring
    • …
日誌架構 Sample
  • Fluentd
  • netdata
  • prometheus
  • elasticsearch
  • influxDB
  • Kibana
  • Grafana
總結

Health check not only ensures health, but also finds the maximum common factor between economic and health.

the more complete checkin subjects, the more possibility to find problems.

monitoring does not guarantee service safety. it finds the maximum common factor between preparation and service quality. the more complete monitoring subjects, the more possibleility to find issue.

tags: DevOpsDays Taipei 2019
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