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

Key FeaturesCraft a dynamic observability stack with real-world, practical applicationsBuild intuitive dashboards and alerts by collecting and normalizing diverse network dataLeverage observability data to strengthen automation strategies for network operationsPurchase of the print or Kindle book includes a free PDF eBookBook 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.
What you will learnCollect and normalize data from various sources using Telegraf and LogstashEnrich operational data with crucial context from a Source of Truth such as NautobotVisualize data and create insightful dashboards with GrafanaAutomate alerts and responses for your network operations strategy using PrefectUnderstand when to build or buy an observability stack, with tips and best practicesExplore practical machine learning techniques to enhance observability data valueWho this book is 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.
Table of ContentsIntroduction to Monitoring and ObservabilityRole of Monitoring and Observability in Network InfrastructureData's Role in Network ObservabilityObservability Stack ArchitectureData CollectorsData Distribution and ProcessingData Storage Solutions for Network ObservabilityVisualization - Bringing Network Observability to LifeAlerting - Network Monitoring and Incident ManagementReal-World Observability ArchitecturesApplications of Your Observability Data - Driving Business SuccessAutomation Powered by Observability Data - Streamlining Network OperationsLeveraging Artificial Intelligence for Enhanced Network ObservabilityAppendix A


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