You're reading from Learn Grafana 10.x A beginner's guide to practical data analytics, interactive dashboards, and observability

Product type Paperback

Published in Dec 2023

Publisher Packt

ISBN-13 9781803231082

Length 542 pages

Edition 2nd Edition

Languages

Python

Tools

Grafana

Concepts

Data Visualization

Author (1):

Eric Salituro

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Table of Contents (23) Chapters

Preface

1. Part 1 – Getting Started with Grafana

2. Chapter 1: Introducing Data Visualization with Grafana FREE CHAPTER

3. Chapter 2: Touring the Grafana Interface

4. Chapter 3: Diving into Grafana's Time Series Visualization

5. Part 2 – Real-World Grafana

6. Chapter 4: Connecting Grafana to a Prometheus Data Source

7. Chapter 5: Extracting and Visualizing Data with InfluxDB and Grafana

8. Chapter 6: Shaping Data with Grafana Transformations

9. Chapter 7: Surveying Key Grafana Visualizations

10. Chapter 8: Surveying Additional Grafana Visualizations

11. Chapter 9: Creating Insightful Dashboards

12. Chapter 10: Working with Advanced Dashboard Features and Elasticsearch

13. Chapter 11: Streaming Real-Time IoT Data from Telegraf Agent to Grafana Live

14. Chapter 12: Monitoring Data Streams with Grafana Alerts

15. Chapter 13: Exploring Log Data with Grafana’s Loki

16. Part 3 – Managing Grafana

17. Chapter 14: Organizing Dashboards and Folders

18. Chapter 15: Managing Permissions for Users, Teams, and Organizations

19. Chapter 16: Authenticating Grafana Logins Using LDAP or OAuth 2 Providers

20. Chapter 17: Cloud Monitoring AWS, Azure, and GCP

21. Index

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Summary

This chapter completes Part 1, Getting Started with Grafana. In this part, we installed the Grafana server, checked out the Grafana application interface, set up some simple dashboards, and graphed test data sources. In the next part, Part 2, Real-World Grafana, we’ll start looking more deeply at these same features and learn how to use them in more realistic scenarios.

We’ll start Chapter 4, Connecting Grafana to a Prometheus Data Source, by building a simple data pipeline with a Prometheus data source, which we’ll query in Grafana Explore. The patterns established in the chapter will be the foundation for building even more complex pipelines in later chapters.