Collecting observability data like metrics, traces, and logs is crucial in identifying bottlenecks and performance issues in .NET applications. Datadog enables seamless navigation between these types of data to help find the source of problems and enact timely resolutions. By automatically correlating logs and traces at the individual request level, developers can efficiently troubleshoot issues by browsing aggregated performance metrics, inspecting end-to-end traces, and drilling down to correlated logs for richer context. This auto-correlation feature helps identify, investigate, and resolve performance problems faster without switching tools or contexts.