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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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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

Databases for observability

When we discuss databases, we’re venturing into a territory that is as vast as it is varied. But our mission here is specific – we are narrowing our focus to database types that are not just good but exceptional when it comes to observability. These databases distinguish themselves not only by their features but also by their ability to meet the unique demands of monitoring and analysis in real-time environments.

First things first – let’s outline the key features of observability databases:

  • Time series proficiency: Essential for observability, these databases are great at handling data with timestamps. They need to excel at storing, querying, and analyzing time-based data.
  • Real-time performance: The ability to handle data in real time is essential. These systems must be strong enough to manage large amounts of data quickly, ensuring that data is both taken in and retrieved smoothly.
  • Metric handling capacity...
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