You're reading from Observability with Grafana Monitor, control, and visualize your Kubernetes and cloud platforms using the LGTM stack

Product type Paperback

Published in Jan 2024

Publisher Packt

ISBN-13 9781803248004

Length 356 pages

Edition 1st Edition

Languages

Python

Tools

Grafana

Concepts

DevOps

Authors (2):

Rob Chapman

Peter Holmes

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Table of Contents (22) Chapters

Preface

1. Part 1: Get Started with Grafana and Observability

2. Chapter 1: Introducing Observability and the Grafana Stack FREE CHAPTER

3. Chapter 2: Instrumenting Applications and Infrastructure

4. Chapter 3: Setting Up a Learning Environment with Demo Applications

5. Part 2: Implement Telemetry in Grafana

6. Chapter 4: Looking at Logs with Grafana Loki

7. Chapter 5: Monitoring with Metrics Using Grafana Mimir and Prometheus

8. Chapter 6: Tracing Technicalities with Grafana Tempo

9. Chapter 7: Interrogating Infrastructure with Kubernetes, AWS, GCP, and Azure

10. Part 3: Grafana in Practice

11. Chapter 8: Displaying Data with Dashboards

12. Chapter 9: Managing Incidents Using Alerts

13. Chapter 10: Automation with Infrastructure as Code

14. Chapter 11: Architecting an Observability Platform

15. Part 4: Advanced Applications and Best Practices of Grafana

16. Chapter 12: Real User Monitoring with Grafana

17. Chapter 13: Application Performance with Grafana Pyroscope and k6

18. Chapter 14: Supporting DevOps Processes with Observability

19. Chapter 15: Troubleshooting, Implementing Best Practices, and More with Grafana

20. Index

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21. Other Books You May Enjoy

Understanding LogQL

Grafana developed LogQL as the query language for Loki using the Prometheus Query Language (PromQL) for inspiration. It was designed with developers (Diego) and operators (Ophelia) in mind (you can refer to Chapter 1 for an introduction to these personas), providing familiar filtering and aggregation mechanisms. Loki does not index the log content. Log events are grouped into log streams and indexed with labels (the log metadata). Executing a LogQL query in Loki invokes a type of distributed filtering against log streams to aggregate the log data.

Let’s explore the Grafana explorer UI for LogQL, where you will be executing most of your LogQL queries.

LogQL query builder

We took a brief look at the Grafana explorer UI in Figure 3.16 in Chapter 3. For our examples, we will mostly work with raw LogQL in the Code editor. The following screenshot shows LogQL typed directly into the query builder code editor: