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Modern Network Observability

Modern Network Observability

By : David Flores, Christian Adell, Josh VanDeraa
4.4 (10)
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Modern Network Observability

Modern Network Observability

4.4 (10)
By: David Flores, Christian Adell, Josh VanDeraa

Overview of this book

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.
Table of Contents (20 chapters)
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1
Part 1:Understanding Monitoring and Observability
5
Part 2: Building an Effective Observability Stack
13
Part 3: Using Your Network Observability Data
16
Chapter 13: Leveraging Artificial Intelligence for Enhanced Network Observability

Data Storage Solutions for Network Observability

At the heart of any observability platform lies its databases – the repositories where all data converges. Just as a well-designed network ensures optimal data flow, well-structured databases ensure seamless data storage and retrieval, allowing for historical analysis and real-time decision-making. In this chapter, we will provide an overview of various database types and concepts. We will briefly explain what these databases are, their main differences, and how they’re used in observability platforms. The goal is to give you a clear understanding of the most relevant databases at a high level, without delving into overly technical specifics.

Alongside this, we’ll look at practical examples using tools like Prometheus and Grafana Loki, which are popular in network observability solutions. You’ll learn about their architecture and main components, with a focus on how data is written to and read from these...

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Modern Network Observability
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