Observability is the practice of understanding what’s happening inside complex distributed systems by examining their external outputs. Unlike traditional monitoring that asks “is this thing broken?”, observability enables teams to ask arbitrary questions about system behavior without predicting failure modes in advance.
This collection explores observability patterns for .NET applications, including structured logging with modern logging frameworks, distributed tracing across microservices, metrics collection and visualization, and correlation strategies that connect data across telemetry signals. Topics address the practical implementation of OpenTelemetry, integration with observability platforms, and strategies for managing telemetry data volumes.
The articles examine how to instrument applications effectively, balance observability costs with benefits, and build systems that provide meaningful insights during incidents. The focus is on understanding what makes systems truly observable and how to implement observability practices that support rapid debugging and system understanding in production environments.
