Top Must-Read Books on Observability for Cloud and Network Professionals

AWS Observability Handbook: Monitor, trace, and alert your cloud applications with AWS’ myriad observability tools

This book by Phani Kumar Lingamallu and Fabio Braga de Oliveira is a comprehensive guide that dives deep into the world of AWS observability tools. With the cloud becoming an integral part of our daily operations, understanding how to monitor, trace, and set alerts on your applications is crucial. This handbook not only explains the tools but also walks you through practical implementations that can enhance your operational excellence. Readers will appreciate its blend of theoretical knowledge and hands-on practice, making it indispensable for professionals keen on mastering AWS’s observability capabilities.

AWS Observability Handbook

Observability Engineering: Achieving Production Excellence

Authored by Charity Majors, Liz Fong-Jones, and George Miranda, this book is a treasure trove for anyone looking to achieve excellence in production through observability practices. The authors tackle real-world issues faced in software production and provide actionable insights into improving the observability of systems effectively. They emphasize the importance of observing user behaviors and system states, making it a pragmatic read for engineers and architects who strive to enhance the reliability and performance of their services. This book is a game-changer that fosters a practical mindset for operational improvements.

Observability Engineering

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

David Flores, Christian Adell, and Josh VanDeraa offer a hands-on exploration of modern network observability in this enlightening book. With a focus on open-source tools like Telegraf, Prometheus, and Grafana, the authors provide practical examples that demonstrate how to set up observability for networks effectively. By utilizing these tools, IT professionals can gain valuable insights into their infrastructure and applications, enabling prompt troubleshooting and optimization. The insightful guidance in this book is perfect for any tech enthusiast eager to refine their observability skills.

Modern Network Observability

Learning eBPF: Programming the Linux Kernel for Enhanced Observability, Networking, and Security

Liz Rice’s “Learning eBPF” introduces readers to the groundbreaking technology that enhances Linux observability, networking, and security. eBPF allows for high-performance enhancements in the Linux kernel and is becoming an essential skill for developers and system administrators alike. This book provides a solid foundation for understanding how to leverage eBPF’s capabilities effectively. Whether you’re interested in monitoring system performance or bolstering security, Rice’s insights pave the way to harnessing eBPF for practical applications in various scenarios.

Learning eBPF

Observability with Grafana: Monitor, control, and visualize your Kubernetes and cloud platforms using the LGTM stack

Rob Chapman and Peter Holmes provide a comprehensive overview of using Grafana to achieve observability in Kubernetes and cloud environments. They focus on the LGTM (Linux, Grafana, Telegraf, and InfluxDB) stack, detailing how to effectively monitor, control, and visualize data to optimize performance. This book is filled with practical examples and visual aids that help demystify the intricacies of Grafana, making it an excellent resource for both newcomers and seasoned professionals in the field of observability.

Observability with Grafana

Cloud Observability with Azure Monitor: A practical guide to monitoring your Azure infrastructure and applications using industry best practices

José Ángel Fernández and Manuel Lázaro Ramírez’s practical guide dedicated to Azure Monitor is a vital read for Azure enthusiasts and cloud engineers. This book unveils the best practices for monitoring Azure applications and infrastructure effectively. The authors provide step-by-step instructions, making it easy for readers to implement observability into their cloud solutions. With a plethora of industry insights, this guide ensures that you’re not only familiar with the tools but can apply these best practices to ensure the reliability and performance of Azure applications.

Cloud Observability with Azure Monitor

Modern Distributed Tracing in .NET: A practical guide to observability and performance analysis for microservices

Liudmila Molkova’s book is pertinent for .NET developers looking to dive into the complexities of distributed tracing. As microservices architecture becomes more prevalent, understanding performance analysis through observability is critical. This guide does not just skim the surface but goes into depth on the principles of tracing in a .NET ecosystem. By following this book, developers will be able to spot bottlenecks and optimize applications, ensuring a smoother user experience across their services.

Modern Distributed Tracing in .NET

BPF Performance Tools (Addison-Wesley Professional Computing Series)

Brendan Gregg’s “BPF Performance Tools” offers a deep dive into various performance analysis techniques using eBPF for systems programmers and engineers. This book provides comprehensive insights into performance monitoring, helping readers to identify inefficiencies and optimize performance in Linux systems. It’s well-structured, easy to read, and filled with practical examples that aid in grasping complex concepts. Ideal for system administrators and developers looking to enhance their performance tuning skills, this book is an invaluable resource.

BPF Performance Tools

Observability for Large Language Models: SRE and Chaos Engineering for AI at Scale

In this unique book by Ankush Sharma, readers are introduced to the realm of AI observability, specifically tailored for large language models. With the rapid evolution of AI technologies, understanding their observability is paramount to maintaining performance and reliability. The book covers the crucial aspects of Site Reliability Engineering (SRE) and chaos engineering tailored for AI systems. It provides practical advice for ensuring that large-scale AI systems remain robust and performant, making it essential for those venturing into AI operational management.

Observability for Large Language Models

Mastering OpenTelemetry and Observability: Enhancing Application and Infrastructure Performance and Avoiding Outages (Tech Today)

Steve Flanders’ “Mastering OpenTelemetry” is a comprehensive guide for professionals aiming to enhance application and infrastructure observability. This book delves into the capabilities of OpenTelemetry and provides a thorough understanding of how to implement observability across various systems. Flanders emphasizes performance enhancement and the avoidance of outages, making it a must-read for anyone responsible for maintaining application uptime. The practical examples and insightful discussions ensure readers feel confident in deploying OpenTelemetry effectively in their environments.

Mastering OpenTelemetry and Observability

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