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

View More author details

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

Why subscribe?

21. Other Books You May Enjoy

Interrogating Infrastructure with Kubernetes, AWS, GCP, and Azure

This chapter will introduce the setup and configuration required to capture telemetry from various common cloud infrastructure providers. You will learn about the different options available for Kubernetes. Additionally, you will investigate the main plugins that allow Grafana to query data from cloud vendors such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Azure. You will look at solutions for handling large volumes of telemetry where direct connections are not scalable. The chapter will also cover options for filtering and selecting telemetry data before it gets to Grafana for security and cost optimization.

We will cover the following main topics in this chapter: