Modern Network Observability
Packt Publishing Limited (Verlag)
978-1-83508-106-8 (ISBN)
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.
David Flores throughout his career has built observability solutions for financial, retail, and managed services networks, optimizing performance across diverse environments. Currently focused on network automation with an emphasis on observability, his expertise spans Linux, Python, Docker, and Kubernetes. Passionate about education, David shares his knowledge on implementing solutions using Telegraf, Prometheus, and Grafana. Christian Adell is a network software engineer who has played multiple roles related to networking and IT automation, and currently, as Principal Architect at Network to Code, is focused on building network automation solutions for diverse use cases (including network monitoring and observability), with great emphasis on open source software. Josh VanDeraa is a network veteran turned network automation geek and currently a Services Director at NTC. Josh has spent many years in large enterprise network engineering before diving into network automation. Josh is the author of the self published book Open Source Network Management and has a B.S. of Telecom Systems from University of Wisconsin, Stout.
Table of Contents
Introduction to Monitoring and Observability
Role of Monitoring and Observability in Network Infrastructure
Data's role in Telemetry and Observability Stack
Observability Stack Architecture
Data Collectors - Telegraf for Network Metrics and Logstash for Logs data
Data Distribution and Processing - Streamlining Network Observability with Telegraf and Kafka
Database and Persistence Layer - Data Storage Solutions for Network Observability
Data Storage Solutions - Log Management with Loki
Visualization and Dashboards - Bringing Network Observability to Life
Real-world Observability Architectures - Tailored Network Monitoring
Applications of Your Observability Data - Driving Business Success
Automation Powered by Observability Data - Streamlining Network Operations
AIOps - Leveraging Artificial Intelligence for Enhanced Network Observability
Building a Test environment
Alerting - Network Monitoring and Incident Management
Erscheinungsdatum | 21.02.2024 |
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Verlagsort | Birmingham |
Sprache | englisch |
Maße | 191 x 235 mm |
Themenwelt | Informatik ► Netzwerke ► Sicherheit / Firewall |
Wirtschaft ► Betriebswirtschaft / Management | |
ISBN-10 | 1-83508-106-1 / 1835081061 |
ISBN-13 | 978-1-83508-106-8 / 9781835081068 |
Zustand | Neuware |
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