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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
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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

Visualization tips and best practices

At the start of this chapter, we examined the principles of data visualization, looking to guide you in crafting dashboards that resonate with your audience. To further refine your visualizations, consider these additional strategies:

  • Conduct interviews: Displaying data that rarely captures the user’s interest offers little benefit. Engaging in interviews and performing an initial discovery phase can clarify which visualizations should take precedence and identify the critical data needed.
  • Sketch your ideas: As demonstrated with the wireframe example earlier in this chapter, sketching out panel placements and dashboard layouts can provide a solid foundation for both you and your audience to visualize the data more clearly.
  • Maintain a feedback loop: Regularly seek approval and input from your target audience. Showcasing your progress through demos and check-ins ensures your efforts align with their needs, preventing wasted...
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