The tutorial provides a comprehensive guide on using OpenTelemetry to auto-instrument a basic Python application with distributed tracing capabilities. It uses a simple "Hello World" application built with Flask, demonstrating step-by-step installation and configuration of necessary OpenTelemetry components, including the exporter and collector. The trace data generated by the application is sent to an OpenTelemetry Collector, which then exports the trace to a chosen distributed tracing analytics tool such as Jaeger. The process showcases the ease of setting up OpenTelemetry in Python applications without altering existing code, with optional advanced steps for adding tracing context to Python logs. Additionally, the tutorial highlights the simplicity of integrating OpenTelemetry for trace visualization and analysis, specifically using Logz.io’s Distributed Tracing service.