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Modern Network Observability

You're reading from   Modern Network Observability A hands-on approach using open source tools such as Telegraf, Prometheus, and Grafana

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Product type Paperback
Published in Oct 2024
Publisher Packt
ISBN-13 9781835081068
Length 506 pages
Edition 1st Edition
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Authors (3):
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Christian Adell Christian Adell
Author Profile Icon Christian Adell
Christian Adell
David Flores David Flores
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David Flores
Josh VanDeraa Josh VanDeraa
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Josh VanDeraa
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Toc

Table of Contents (20) Chapters Close

Preface 1. Part 1:Understanding Monitoring and Observability
2. Chapter 1: Introduction to Monitoring and Observability FREE CHAPTER 3. Chapter 2: Role of Monitoring and Observability in Network Infrastructure 4. Chapter 3: Data’s Role in Network Observability 5. Part 2: Building an Effective Observability Stack
6. Chapter 4: Observability Stack Architecture 7. Chapter 5: Data Collectors 8. Chapter 6: Data Distribution and Processing 9. Chapter 7: Data Storage Solutions for Network Observability 10. Chapter 8: Visualization – Bringing Network Observability to Life 11. Chapter 9: Alerting – Network Monitoring and Incident Management 12. Chapter 10: Real-World Observability Architectures 13. Part 3: Using Your Network Observability Data
14. Chapter 11: Applications of Your Observability Data – Driving Business Success 15. Chapter 12: Automation Powered by Observability Data – Streamlining Network Operations 16. Chapter 13: Leveraging Artificial Intelligence for Enhanced Network Observability 17. Index 18. Other Books You May Enjoy Appendix A

Summary

In this chapter, we explored how to use programming tools to access data from observability systems and showed what you can do with that data.

We started with simple Python examples to help us understand how to collect metrics from Prometheus and logs from Loki. This helped us get comfortable with the data structure and develop basic skills for retrieving the information we needed.

Starting from the basics we learned about in previous chapters, we created tools that directly address what network engineers need. We built a simple CLI that uses our earlier data-gathering techniques. This tool can spot which network interfaces are being heavily used or give a quick health check of a network site by collecting data from Prometheus, Loki, and Nautobot. By combining information from these sources, the tool helps network engineers get a clearer picture of network status in one place, saving time and effort.

Then, we tackled more complex scenarios using event-driven and closed...

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