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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
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

To get the most out of this book

This book assumes that you have a basic understanding of networking and of Linux shell fundamentals. There will be installation of applications on a Linux command line. Most of the command-line examples provided in the book are executed within a containerized environment, or native to most Linux shells. Some basic Python understanding is recommended as well, but not required.

Software/hardware covered in the book

Operating system requirements

Python

Windows Subsystem for Linux (WSL2), macOS, or Linux

Docker

WSL2, macOS, or Linux

Telegraf

WSL2, macOS, or Linux

Kafka

WSL2, macOS, or Linux

Prometheus

WSL2, macOS, or Linux

Grafana

WSL2, macOS, or Linux

ContainerLab

WSL2, macOS, or Linux

There may be some tools that are referenced using a cloud service for ease of gaining experience with the tool. There are no financial requirement to complete the examples provided throughout the book.

Another option is to execute the environments free within the open source community installations. These will be covered in more depth within the relevant chapters.

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

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