7 Grafana Books That Separate Experts from Amateurs

What started as Ajay Reddy Yeruva's deep dive into observability technologies evolved into a thorough manual for mastering Grafana's full capabilities. You’ll learn precise skills like crafting custom dashboards, setting up alerts, and using Grafana Loki for log exploration, along with practical applications such as Kubernetes and AIOps monitoring. This book suits professionals aiming to elevate system monitoring and performance testing, providing detailed chapters on everything from data visualization fundamentals to advanced dashboard features. If your role demands clear, actionable insights from complex data streams, this guide equips you with the tools to make Grafana work effectively for you.

Rob Chapman's extensive background in IT engineering and his work with major organizations like Microsoft and Grafana inform this detailed guide on observability using the LGTM stack. You learn to instrument applications and monitor cloud platforms such as Kubernetes, AWS, and Azure through practical examples that cover everything from logging with Loki to metrics with Mimir and Prometheus. The book also addresses advanced topics like AI-driven incident management and infrastructure as code automation, making it particularly useful if you manage complex systems and want to optimize observability costs and operational efficiency. While it requires some prior knowledge of DevOps and cloud concepts, the insights offered are precise and applicable for developers, SREs, and platform engineers aiming to enhance system visibility and control.

This tailored book explores the intricacies of mastering Grafana dashboards and monitoring, focusing specifically on your interests and experience level. It reveals how to harness Grafana’s powerful visualization tools to create insightful, actionable dashboards that match your unique data environment. Covering foundational concepts like data sources and alerting, it gradually moves into advanced customization, performance tuning, and integration techniques, all personalized to your background and goals. By concentrating on the aspects most relevant to you, this guide transforms complex expert knowledge into clear, applicable guidance. This personalized approach ensures you build expertise efficiently while diving deep into the real-world applications of Grafana’s monitoring capabilities.

After analyzing a wide range of data visualization tools, Eric Salituro developed this guide to demystify Grafana for beginners. You’ll learn to install and configure Grafana, connect it to data sources like Prometheus and Elasticsearch, and build interactive dashboards using panels such as Time Series and Bar Gauge. The book also explores advanced topics like alerting, user authentication, and dynamic templating, making it practical for business analysts and developers alike. If you’re aiming to master Grafana’s latest features for monitoring time-series data, this book offers a grounded, example-driven path without fluff.

Drawing from decades in full stack development and IT operations management, Ronald McCollam crafted this manual to demystify Grafana for practitioners juggling complex data environments. You gain practical skills in deploying and administering Grafana across scales—from Raspberry Pi setups to multi-region cloud systems—and learn to build dynamic, real-time dashboards that turn raw data into clear insights. The book walks you through integrating diverse data sources and enterprise systems like LDAP, helping you automate alerts and dashboard deployments. If you're hands-on and want to quickly visualize and act on your data, this book serves your needs without fluff or unnecessary jargon.

What started as a need to simplify time-series data monitoring became a detailed guide by Eric Salituro, whose expertise in data visualization shapes this book. You learn how to install and configure Grafana, integrate multiple data sources like Prometheus and Elasticsearch, and create dynamic dashboards that enhance your data analysis capabilities. The book walks you through advanced features such as alerting, user authentication, and multi-cloud monitoring, making it well-suited for anyone handling real-time data environments. If you're aiming to master interactive dashboards with practical examples from setup to administration, this book delivers a solid foundation without overwhelming technical jargon.

This personalized book explores Grafana through a tailored lens, focusing on your specific interests and goals to accelerate your learning journey. It covers core Grafana concepts such as data visualization, dashboard creation, and alert configuration, while also delving into advanced topics like cloud platform integration and performance monitoring. By aligning content with your background and objectives, it reveals how to build effective, customized dashboards and understand key observability principles. This tailored approach ensures you engage deeply with the aspects of Grafana most relevant to your needs, making complex topics accessible and actionable within a focused, 30-day learning plan.

Drawing from Alexander Koutmos's extensive experience with Elixir since 2016 and his work maintaining Elixir libraries, this book methodically guides you through building a full-stack IoT weather station. You learn how to leverage the Nerves framework to create fault-tolerant embedded applications, integrate sensor data using Phoenix and Ecto, and visualize time-series data with Grafana and TimescaleDB. The book is particularly useful if you want to connect embedded systems with modern backend and visualization tools, offering concrete examples like assembling sensor hubs and structuring Nerves apps. If you aim to bridge Elixir's backend strengths with real-world IoT projects, this book will give you valuable hands-on insight, though it assumes some programming familiarity.

Bernardo Ronquillo Japón offers a hands-on guide to building IoT applications using Node-RED, focusing on practical skills like programming Raspberry Pi devices and creating real-time data streams. You’ll learn to integrate tools such as Pusher, InfluxDB, and Grafana to monitor environmental data effectively, with clear examples that move from simulated models to actual hardware deployment. This book suits you if you’re an IoT engineer or embedded systems programmer looking to expand into low-code programming and full-stack IoT development. Chapters like data acquisition and real-time processing provide concrete steps to mastering IoT infrastructure and software management.