Learn Grafana 10.x: A beginner's guide to practical data analytics, interactive dashboards, and observability 2nd Edition

A comprehensive introduction to help you get up and running in no time from building data pipelines to creating interactive dashboards for visualizing, monitoring, and presenting a wide variety of time-series data

Key Features

• Install, configure, and utilize Grafana for real-time data analysis, visualization, and alerting
• Visualize and monitor using data sources such as InfluxDB, Telegraf, Prometheus, and Elasticsearch
• Explore Grafana’s cloud support with Microsoft Azure, Amazon CloudWatch, and Google Cloud Monitoring

Book Description

Grafana is an open source analytical platform used for analyzing and monitoring time-series data. This 2nd edition will help you to get up-to-speed with Grafana’s latest features for querying, visualizing, and exploring logs and metrics no matter where they are stored

The book begins by showing you how to quickly install and set up a Grafana server using Docker. You’ll become familiar with important components of the Grafana interface and learn how to analyze and visualize data from sources including InfluxDB, Telegraf, Prometheus, Logstash, and Elasticsearch. The book will cover many of Grafana’s key panel visualizations including Time Series, Stat, Table, Bar Gauge, and Text. You’ll use Python to pipeline data, transformations to facilitate analytics, and templating to build dynamic dashboards. You’ll explore real-time data streaming with Telegraf, Promtail, and Loki as well as observability features like alerting rules and PagerDuty and Slack integration. As you progress, the book will delve into the administrative aspects of Grafana from configuring users and organizations, to implementing user authentication with Okta and LDAP, and 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

• Explore the process of data visualization using Grafana
• Understand how to work with the major components of the Graph Panel
• Explore mixed data sources, query inspector, and time interval settings
• Discover advanced dashboard features like annotations, templating with variables, dashboard linking, and sharing techniques
• Connect user authentication to Google, GitHub, and a variety of external services
• 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. Those looking to create and share interactive dashboards or looking to get up to speed with the latest features of Grafana will also find this book useful. 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

Table of Contents

1. Introduction to Data Visualization with Grafana
2. A Tour of the Grafana Interface
3. An Introduction to the Grafana Panel
4. Connecting Grafana to a Prometheus Data Source
5. Visualizing InfluxDB Data with Grafana Panels
6. Transforming Data in Grafana Panels
7. Key Panel Visualizations In Grafana
8. Other Panel Visualizations In Grafana
9. Creating your First Dashboard
10. Working with Advanced Dashboard Features and ElasticSearch
11. Sending IoT Metrics from Telegraf Collector To Grafana Live
12. Grafana Alerting
13. Exploring Log Data With Grafana’s Loki
14. Organizing Dashboards
15. Managing Permissions For Users and Teams
16. Authentication with External Services
17. Cloud Monitoring