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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 FREE CHAPTER
2. Chapter 1: Introduction to Monitoring and Observability 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 the visual aspect of network observability, highlighting the significance of how data is showcased. We expanded on the art of crafting intuitive and insightful dashboards in Grafana, building upon the foundational knowledge of databases that was explored in the previous chapters. Through a series of practical steps, we demonstrated how to connect to various data sources within Grafana, construct diverse panels, and seamlessly integrate metrics and logs to present a holistic view of network device health as an example.

Then, we journeyed through the creation of a Grafana dashboard, from the basics of setting up and customizing panels to the more advanced techniques of manipulating data with GraphQL queries and transformations. The power of annotations was also introduced, adding a layer of depth to our visualizations by marking critical events and changes over time.

Next, we’ll transition from crafting easy-to-read visualizations to...

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