Next-Level Observability with OpenTelemetry in Kotlin

This technical tutorial, published on the Kotlin Blog by external contributor Kevin Kimani, addresses the limitations of traditional logging in modern, complex backend systems. As applications scale across multiple instances and threads, simple log statements often fail to provide sufficient context for debugging interleaved executions. The article introduces OpenTelemetry as a robust solution for achieving next-level observability. It guides developers through instrumenting a Kotlin and Spring Boot backend service to leverage OpenTelemetry’s tracing model. By implementing traces and spans, developers can capture the full lifecycle of requests, providing unique identifiers that link disparate log entries to specific execution contexts. This approach transforms debugging from guesswork into a structured investigation, allowing teams to visualize the entire history of an operation. The tutorial aims to equip readers with a working instrumented service and a clear mental model for building more observable systems, emphasizing how traces and metrics complement logs to reveal patterns and root causes in distributed environments.