Modern Network Observability

Learn how to use modern monitoring tools for building network observability solutions that enhance operations and promote an effective automation strategy, with step-by-step guidance and practical examples.

Key Features

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

Book DescriptionAs modern IT services and software architectures like 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 leverage 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 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. The journey continues with advanced topics, such as integrating observability data into your network automation strategy, ensuring your network operations align with business objectives, and exploring the future of observability with machine learning and AI integrations.
By the end, you'll proactively manage your network, minimize downtime, and ensure resilient, efficient, and future-proof operations.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 like Nautobot
Store, query, and alert on observability data with Prometheus and Loki
Visualize data and create insightful dashboards with Grafana
Automate alerts and responses for your network operations strategy using Prefect
Learn when to build versus buy an observability stack, with tips and best practices
Explore practical Machine Learning techniques to enhance observability data value

Who this book is forThis book is intended 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. All of these roles will benefit from understanding what can be achieved through the integration of network observability within a network automation strategy. Basic programming knowledge in Python and Go, familiarity with networking concepts, and a basic understanding of Docker containers for lab scenarios.