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Modern Network Observability
Modern Network Observability

Modern Network Observability: A hands-on approach using open source tools such as Telegraf, Prometheus, and Grafana

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Profile Icon David Flores Profile Icon Josh VanDeraa Profile Icon Christian Adell
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Full star icon Full star icon Full star icon Full star icon Empty star icon 4 (5 Ratings)
Paperback Oct 2024 506 pages 1st Edition
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S$36.99 S$53.99
Paperback
S$67.99
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Arrow left icon
Profile Icon David Flores Profile Icon Josh VanDeraa Profile Icon Christian Adell
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Full star icon Full star icon Full star icon Full star icon Empty star icon 4 (5 Ratings)
Paperback Oct 2024 506 pages 1st Edition
eBook
S$36.99 S$53.99
Paperback
S$67.99
Subscription
Free Trial
eBook
S$36.99 S$53.99
Paperback
S$67.99
Subscription
Free Trial

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Modern Network Observability

Introduction to Monitoring and Observability

Since the early days of computer networks, we have needed to detect failures on the different network components (e.g., hardware interface issues, cable cuts, or web service down) to determine outages that require corrective actions. This field has been known as network monitoring.

Interestingly, the last decade has witnessed numerous innovations in the field, especially related to new tools and practices around the DevOps culture. This culture emphasizes merging development and operations responsibilities requiring a better understanding of the operational state. Moreover, there has been a significant adoption of network automation. This advancement drives network operations, transforming monitoring from a passive component to an enabler of closed-loop processes. These changes have been the main drivers behind the evolution from network monitoring to network observability, and this book wants to help you understand and apply it to improve...

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Key benefits

  • Craft a dynamic observability stack with real-world, practical applications
  • Build intuitive dashboards and alerts by collecting and normalizing diverse network data
  • Leverage observability data to strengthen automation strategies for network operations
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

As modern IT services and software architectures such as microservices rely increasingly on network performance, the relevance of networks has never been greater. Network observability has emerged as a critical evolution of traditional monitoring, providing the deep visibility needed to manage today’s complex, dynamic environments. In Modern Network Observability, authors David Flores, Christian Adell, and Josh VanDeraa share their extensive experience to guide you through building and deploying a flexible observability stack using open-source tools. This book begins by addressing the limitations of monolithic monitoring solutions, showing you how to transform them into a composable, flexible observability stack. Through practical implementations, you’ll learn how to collect, normalize, and analyze network data from diverse sources, build intuitive dashboards, and set up actionable alerts that help you stay ahead of potential issues. Later, you’ll cover advanced topics, such as integrating observability data into your network automation strategy, ensuring your network operations align with business objectives. By the end of this book, you'll be able to proactively manage your network, minimize downtime, and ensure resilient, efficient, and future-proof operations.

Who is this book for?

This book is for all network engineering roles such as network analysts, administrators, architects, security personnel, support staff, and managers working in both on-premises and cloud environments who are tasked with implementing or using network monitoring solutions. Basic programming knowledge in Python and Go, familiarity with networking concepts, and a fundamental understanding of Docker containers for lab scenarios will be required.

What you will learn

  • Collect and normalize data from various sources using Telegraf and Logstash
  • Enrich operational data with crucial context from a Source of Truth such as Nautobot
  • Visualize data and create insightful dashboards with Grafana
  • Automate alerts and responses for your network operations strategy using Prefect
  • Understand when to build or buy an observability stack, with tips and best practices
  • Explore practical machine learning techniques to enhance observability data value

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Oct 11, 2024
Length: 506 pages
Edition : 1st
Language : English
ISBN-13 : 9781835081068

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Product Details

Publication date : Oct 11, 2024
Length: 506 pages
Edition : 1st
Language : English
ISBN-13 : 9781835081068

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Table of Contents

18 Chapters
Part 1:Understanding Monitoring and Observability Chevron down icon Chevron up icon
Chapter 1: Introduction to Monitoring and Observability Chevron down icon Chevron up icon
Chapter 2: Role of Monitoring and Observability in Network Infrastructure Chevron down icon Chevron up icon
Chapter 3: Data’s Role in Network Observability Chevron down icon Chevron up icon
Part 2: Building an Effective Observability Stack Chevron down icon Chevron up icon
Chapter 4: Observability Stack Architecture Chevron down icon Chevron up icon
Chapter 5: Data Collectors Chevron down icon Chevron up icon
Chapter 6: Data Distribution and Processing Chevron down icon Chevron up icon
Chapter 7: Data Storage Solutions for Network Observability Chevron down icon Chevron up icon
Chapter 8: Visualization – Bringing Network Observability to Life Chevron down icon Chevron up icon
Chapter 9: Alerting – Network Monitoring and Incident Management Chevron down icon Chevron up icon
Chapter 10: Real-World Observability Architectures Chevron down icon Chevron up icon
Part 3: Using Your Network Observability Data Chevron down icon Chevron up icon
Chapter 11: Applications of Your Observability Data – Driving Business Success Chevron down icon Chevron up icon
Chapter 12: Automation Powered by Observability Data – Streamlining Network Operations Chevron down icon Chevron up icon
Chapter 13: Leveraging Artificial Intelligence for Enhanced Network Observability Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
(5 Ratings)
5 star 60%
4 star 20%
3 star 0%
2 star 0%
1 star 20%
Peng Nov 14, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
very nice book!!!
Subscriber review Packt
pk Oct 12, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
With a network engineering background it can be hard to pick up observability concepts. This book helped me understand how a modern observability system is built, while providing lots of examples to get some experience with the many tools in the stack. The big difference with this book was the focus on how to show value in network services to the wider business. It has practical examples with scenarios network engineers are familiar with.
Amazon Verified review Amazon
riddler63 Nov 03, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Amazon Verified review Amazon
Robert J. Mccurdy Oct 28, 2024
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
This book focuses on open-source solutions for network observability, making it accessible to a broad audience. However, I would have liked more coverage on open-source solutions for SSL decryption, as this accounts for about 90% of network traffic today, yet it is scarcely mentioned. The book is highly technical, and given the rapid pace of technological change, especially with open-source tools, its relevance may diminish within five years. Open-source tools often undergo frequent updates, affecting their configuration and functionality. Overall, the book provides a good deep dive into network observability, but following along may vary significantly over time, particularly with open-source tools.
Amazon Verified review Amazon
Deepak Oct 29, 2024
Full star icon Empty star icon Empty star icon Empty star icon Empty star icon 1
I am surprised to see the quality of the book. Its pages are torned and it looks like used a lot
Amazon Verified review Amazon
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