Build reliable, scalable monitoring and alerting systems with Prometheus, PromQL, and real-world demos \n\nKey Features \nâ Learn how to install, configure, and optimize Prometheus from scratch to build scalable, production-ready setups. \nâ Work through step-by-step labs for Linux, Windows, Docker, and databases for analyzing metrics. \nâ Unlock powerful insights using PromQL to filter, aggregate, and alert on metrics to monitor complex systems with precision. \n\nBook Description \nPrometheus has emerged as the leading open-source monitoring solution for building resilient, observable systems, and Hands-On Monitoring and Alerting with Prometheus shows you exactly how to utilize its full potential. \n\nThe book begins with the fundamentals of modern monitoring and the core architecture of Prometheus. Through hands-on labs, youâll master Prometheus service discovery, labeling, and relabeling to organize metrics at scale. \n\nWhether you are collecting metrics from Linux machines, Windows servers, Docker containers, or databases, this book equips you with practical skills through real-world examples and tutorials. You will learn how to install and configure Prometheus, use its service discovery features, label and relabel metrics, and build powerful queries using PromQL - all leading to actionable insights through alerts and dashboards. \n\nYouâll configure alerts and Alertmanager integrations, apply advanced techniques, and put everything together with real-world applications. Each chapter builds practical skills so you can confidently design and operate a robust observability stack. \n\nWhether you're a DevOps engineer, SRE, or system architect, this book is your gateway to production-grade monitoring. Donât just collect metricsâturn them into action with Prometheus today. \n\nWhat you will learn \nâ Grasp modern monitoring principles and observability best practices \nâ Install and configure Prometheus in real-world environments \nâ Monitor Linux, Windows, Docker, and databases using exporters \nâ Use Service Discovery for dynamic infrastructure monitoring \nâ Label and relabel metrics for organized, efficient observability \nâ Write advanced PromQL queries to gain actionable system insights \nâ Design alerts with custom rules and performance thresholds \nâ Configure Alertmanager with Slack, email, and other receivers \n\nTable of Contents \n1. Introduction and Key Concepts in Monitoring \n2. Prometheus Server Architecture and Features \n3. Different Types of Prometheus Metrics \n4. Metrics Exporters for Infrastructure Monitoring \n5. Prometheus Service Discovery Feature \n6. Metrics Labeling and Relabeling \n7. Prometheus Query Language PromQL \n8. Alerts and Alert Receivers \n9. Advanced Prometheus Techniques \n10. Prometheus and Real-world Applications \n11. Conclusion: Future Steps \nIndex \n\nAbout the Authors \nMuhammad Badawy is a senior DevOps and Platform Engineer with over 12 years of experience at the intersection of development and operations, driving efficiency, scalability, and automation across global cloud environments. Certified as a Kubernetes Administrator (CKA) and AWS Solutions Architect, Muhammad specializes in cloud-native architecture, infrastructure as code, observability, and CI/CD automation. \n\nHe has architected and maintained complex systems for leading organizations including ING, Mambu, Mobiquity, and Vodafone, leveraging technologies such as Kubernetes, Helm, Terraform, Azure DevOps, and the ELK stack. Muhammad has a proven track record of accelerating delivery pipelines, optimizing monitoring systems with Prometheus and Grafana, and implementing robust DevSecOps Practices.
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