Datadog enhances application performance monitoring by providing a comprehensive trace view that consolidates telemetry data, such as traces, metrics, and logs, in a single interface, thereby overcoming the limitations of using multiple monitoring tools. This integration allows for efficient troubleshooting by displaying detailed request data alongside correlated information, which helps identify performance issues like errors and latency across both frontend and backend components. Key features include the use of tags to filter and compare traces, infrastructure context to isolate performance issues, and metrics that correlate with trace data to spotlight potential memory and CPU resource constraints. Additionally, the tool offers automatic log correlation, infrastructure process details, and network performance insights, which together facilitate a deeper understanding of application behavior and resource utilization. By visualizing code hotspots and leveraging continuous profiling, users can identify methods that require optimization to reduce latency, while network data aids in diagnosing connectivity issues affecting application performance. Overall, Datadog's end-to-end monitoring solution aims to enhance visibility, reduce mean time to resolution, and improve user experience by unifying application insights into a streamlined view.