Full stack observability is a comprehensive approach to monitoring and understanding the health, performance, and behavior of an entire technology stack, encompassing everything from frontend interfaces to backend infrastructure. This method transcends traditional, siloed monitoring by correlating telemetry data, such as logs, metrics, and traces, across all layers to provide a cohesive and unified view. As modern systems become more complex and interconnected, full stack observability enables faster root cause analysis and incident triage, reducing mean time to resolution (MTTR) and improving system reliability. The process involves collecting and analyzing telemetry data using vendor-agnostic technologies like OpenTelemetry, which allows organizations to maintain flexibility in their observability back-ends. Platforms such as Logz.io facilitate this by offering real-time dashboards and automated data correlation, thus enabling teams to swiftly diagnose and resolve performance issues across their entire system. This holistic visibility is crucial for adapting to the growing complexity of distributed systems and ensuring continuous improvement rather than merely reacting to incidents.