Infrastructure monitoring is a continuous process that involves collecting, analyzing, and visualizing data from an organization's IT infrastructure, including servers, networks, storage, containers, databases, and cloud systems, to maintain system health and detect issues before they impact users. It utilizes telemetry data, such as metrics and logs, to trigger alerts on anomalies and provides insights through dashboards while increasingly automating remediation through AI and orchestration tools. Key metrics tracked include CPU usage, memory, disk I/O, network throughput, latency, uptime, and error rates. Infrastructure monitoring supports various use cases, such as performance optimization, downtime management, and compliance/security enforcement, making it foundational for DevOps success. Best practices involve unifying logs and metrics, monitoring Kubernetes holistically, setting contextual alerts, and optimizing data retention. When selecting the right infrastructure monitoring tool, factors like real-time data collection, customizable dashboards, and automated alerting are crucial. This proactive approach enhances system reliability, reduces downtime, improves resource management, and strengthens security posture.