Learn Grafana 10.x : A beginner's guide to practical data analytics, interactive dashboards, and observability, 2/e (Paperback)

Get up and running with building data pipelines and creating interactive dashboards to visualize, monitor, and present a wide variety of time-series data with this comprehensive introductory guide

Key Features:

• Install, set up, and configure Grafana for real-time data analysis, visualization, and alerting
• Visualize and monitor data using data sources such as InfluxDB, Telegraf, Prometheus, and Elasticsearch
• Explore Grafana's cloud support with Microsoft Azure, Amazon CloudWatch, and Google Cloud Monitoring
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description:

Get ready to unlock the full potential of the open-source Grafana analytical observability platform, ideal for analyzing and monitoring time-series data with this updated second edition. This beginners guide will help you get up to speed with Grafana's latest features for querying, visualizing, and exploring logs and metrics, no matter where they are stored.

Starting with the basics, this book demonstrates how to quickly install and set up a Grafana server using Docker. You'll then be introduced to the main components of the Grafana interface before learning how to analyze and visualize data from sources such as InfluxDB, Telegraf, Prometheus, Logstash, and Elasticsearch. The book extensively covers key panel visualizations in Grafana, including Time Series, Stat, Table, Bar Gauge, and Text, and guides you in using Python to pipeline data, transformations to facilitate analytics, and templating to build dynamic dashboards. Exploring real-time data streaming with Telegraf, Promtail, and Loki, you'll work with observability features like alerting rules and integration with PagerDuty and Slack. As you progress, the book addresses the administrative aspects of Grafana, from confi guring users and organizations to implementing user authentication with Okta and LDAP, as well as organizing dashboards into folders, and more.

By the end of this book, you'll have gained all the knowledge you need to start building interactive dashboards.

What You Will Learn:

• Learn the techniques of data visualization using Grafana
• Get familiar with the major components of Time series visualization
• Explore data transformation operations, query inspector, and time interval settings
• Work with advanced dashboard features, such as annotations, variable-based templating, and dashboard linking and sharing
• Connect user authentication through Okta, Google, GitHub, and other external providers
• Discover Grafana's monitoring support for cloud service infrastructures

Who this book is for:

This book is for business intelligence developers, business analysts, data analysts, and anyone interested in performing time-series data analysis and monitoring using Grafana. You'll also find this book useful if you're looking to create and share interactive dashboards or get up to speed with the latest features of Grafana. Although no prior knowledge of Grafana is required, basic knowledge of data visualization and some Python programming experience will help you understand the concepts covered in the book.

立即開始建立數據管道並創建互動式儀表板，以視覺化、監控和呈現各種時間序列數據。這本全面的入門指南將幫助您達到這個目標。

主要特點：
- 安裝、設置和配置 Grafana 進行實時數據分析、可視化和警報
- 使用 InfluxDB、Telegraf、Prometheus 和 Elasticsearch 等數據源進行數據可視化和監控
- 探索 Grafana 在 Microsoft Azure、Amazon CloudWatch 和 Google Cloud Monitoring 上的雲支持
- 購買印刷版或 Kindle 版本的書籍將獲得免費的 PDF 電子書

書籍描述：
準備好發揮開源 Grafana 分析可觀察性平台的全部潛力，這是一個理想的分析和監控時間序列數據的更新第二版。這本初學者指南將幫助您快速掌握 Grafana 的最新功能，無論數據存儲在何處，都能查詢、可視化和探索日誌和指標。

從基礎知識開始，本書演示了如何使用 Docker 快速安裝和設置 Grafana 服務器。然後，您將介紹 Grafana 介面的主要組件，並學習如何從 InfluxDB、Telegraf、Prometheus、Logstash 和 Elasticsearch 等數據源分析和可視化數據。本書詳細介紹了 Grafana 中的關鍵面板可視化，包括時間序列、統計、表格、條形量規和文本，並指導您使用 Python 進行數據流水線、轉換以便進行分析，以及使用模板構建動態儀表板。通過 Telegraf、Promtail 和 Loki 探索實時數據流，您將使用警報規則和 PagerDuty、Slack 的集成等可觀察性功能。隨著進展，本書還涵蓋了 Grafana 的管理方面，從配置用戶和組織到使用 Okta 和 LDAP 實現用戶身份驗證，以及將儀表板組織成文件夾等等。

通過閱讀本書，您將獲得開始構建互動式儀表板所需的所有知識。

學到什麼：
- 學習使用 Grafana 進行數據可視化的技巧
- 熟悉時間序列可視化的主要組件
- 探索數據轉換操作、查詢檢查器和時間間隔設置
- 使用高級儀表板功能，如註釋、基於變量的模板和儀表板鏈接和共享
- 通過 Okta、Google、GitHub 和其他外部提供商連接用戶身份驗證
- 發現 Grafana 對雲服務基礎設施的監控支持

本書適合商業智能開發人員、業務分析師、數據分析師以及任何有興趣使用 Grafana 進行時間序列數據分析和監控的人。如果您希望創建和共享互動式儀表板或了解 Grafana 的最新功能，本書也將對您有所幫助。雖然不需要先備的 Grafana 知識，但基本的數據可視化知識和一些 Python 編程經驗將有助於您理解本書中涵蓋的概念。