With Datadog, .NET developers can collect, visualize, and alert on key runtime metrics to troubleshoot bugs, detect resource inefficiencies, and optimize application performance. Monitoring first-chance exceptions helps identify unexpected errors that could degrade application performance, while detecting thread pool starvation optimizes multithreading tasks. Ensuring efficient garbage collection also contributes to optimal application performance by minimizing CPU usage and memory pressure. By visualizing .NET runtime metrics alongside other APM monitoring data, developers can gain a complete view of their applications in one place, enabling them to quickly identify issues and take corrective action.