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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

Setting up the lab environment

This lab will allow you to see how to work with data from our observability tools firsthand and open the door to many different types of similar integrations.

Figure 12.1 defines a diagram outlining all the components we’ll use in our lab:

Figure 12.1 – Chapter 12 lab topology (Created using the icons from https://icons8.com)

Figure 12.1 – Chapter 12 lab topology (Created using the icons from https://icons8.com)

In this chapter, we’ll pay special attention to two key areas in this diagram – the Scripts/Automation and Event Orchestration sections. These areas are important because they involve writing programs (scripts) that help automate tasks and manage how data-driven events are handled.

While most parts of our lab environment are already set up and ready to go (mainly from the work performed in the previous chapters), we’ll focus on writing the Python scripts. These scripts are the tools that will automate our network operation tasks.

Note

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