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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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Lock Free Chapter
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

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

access control list (ACL) 10

Advanced Research Projects Agency Network (ARPANET) 5

agent-based approach 33

versus agentless approach 33

agentless approach 34

versus agent -based approach 33

aggregation operators 201

bottomk/topk operators 202, 203

min/max/avg operator 202

sum operator 202

AI 404

and ML classification 405

alert aggregation 290

strategies 292

alert correlation 290

strategies 292

alert data model 290, 291

fields 290

alert engine architecture 293, 294

alert enrichment 290, 291

fields 291

alerting 285

alerting tips and best practices

AI, role 314

alert challenges, addressing 311, 312

communication process, improving aspect 312

healthy incident management process 313

Alertmanager 89, 180, 295, 446...

CONTINUE READING
83
Tech Concepts
36
Programming languages
73
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Modern Network Observability
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