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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

Alerting tips and best practices

We can group our recommended best practices under four main categories.

Addressing common alert challenges

Let’s explore some common challenges faced when dealing with alerts and their ecosystem, particularly the journey from noise to valuable information:

  • Observability stack integration with SoT: To counter the challenges presented by alert fatigue, noise, and the dynamic nature of modern IT environments, integrating an observability stack with a reliable SoT is key. This approach aims to streamline the alerting process by providing a clearer, more accurate depiction of the IT landscape.
  • Normalization through observability data pipeline: We’re focusing on normalizing data across various sources. This means that regardless of where the data comes from, our observability data pipeline works to standardize it, ensuring consistency and reliability in the alerts generated.
  • Query-driven alerting: By enabling precise queries...
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