- Grafana 和 Prometheus 的基本知識
- 熟悉雲平臺(AWS、Azure 或 GCP)
觀眾
- 雲工程師
- DevOps 工程師
將 Grafana 和 Prometheus 與雲平臺集成,使團隊能夠有效地監控和可視化雲基礎設施和服務。本課程提供了將 Grafana 和 Prometheus 與 AWS、Azure 和 GCP 連接以構建綜合監控解決方案的實踐理解。
這種講師指導的現場培訓(在線或現場)面向希望通過 Grafana 和 Prometheus 增強雲可觀測性的中級雲工程師和 DevOps 工程師。
在本次培訓結束時,參與者將能夠:
- 瞭解將 Grafana 和 Prometheus 與雲平臺集成的好處。
- 設置 Prometheus 以監控基於雲的資源。
- 配置 Grafana 以可視化雲服務指標。
- 利用雲原生工具和集成來監控可擴充性。
課程形式
- 互動講座和討論。
- 大量的練習和練習。
- 在即時實驗室環境中動手實施。
課程自定義選項
- 要申請本課程的定製培訓,請聯繫我們進行安排。
雲監控簡介
- 雲監控中的挑戰和機遇
- 雲可觀測性 Grafana 和 Prometheus 概述
- AWS CloudWatch、Azure Monitor 和 GCP 監控的主要功能
在雲端端設定 Prometheus
- 在雲平臺上部署 Prometheus
- 配置 Prometheus 以進行雲資源監控
- 在雲中管理 Prometheus 存儲和擴展
將 Grafana 與雲端服務整合
- 將 Grafana 連接到 AWS CloudWatch、Azure Monitor 和 GCP 監控
- 創建用於雲資源可視化的儀錶板
- 管理雲指標的最佳實踐
可視化雲指標
- 為雲端服務指標設置Grafana 面板
- 將範本和變數用於動態儀錶板
- 針對雲端服務性能問題發出警報
監控多雲環境
- 跨多個雲平臺集成 Grafana 和 Prometheus
- 將來自不同雲的指標合併到統一的控制面板中
- 針對多雲用例進行擴展 Grafana 和 Prometheus
高級集成
- 在雲中將 Grafana 與 Kubernetes 集成
- 將雲原生導出器與 Prometheus 結合使用
- 自定義雲監控工作流程
優化性能和成本
- 降低數據攝取和存儲成本
- 在 Grafana 中優化查詢性能
- 經濟高效的雲監控最佳實踐
總結和後續步驟
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