How are metrics from live user sessions managed in Dynatrace?

Metrics from live user sessions in Dynatrace are queued for processing once connections are closed. This approach allows for efficient management of data while ensuring that all relevant information from user interactions is captured. When a user session ends, rather than losing the metrics collected, Dynatrace organizes these metrics for further analysis. This process enables the platform to apply its analysis capabilities without overwhelming the system with real-time processing demands, thus preserving system performance.

The queuing mechanism is particularly beneficial because it allows for consolidating and processing data in batches, which can enhance the speed and efficiency of data analysis. Once the session metrics are queued, they are processed comprehensively to generate insights that can be used for performance monitoring and troubleshooting.

In contrast, other options imply different data handling strategies that do not align with the Dynatrace philosophy of effective data utilization. For instance, immediately displaying all metrics could lead to performance issues or missing contextual insights, while permanently storing all session data would not be practical due to storage concerns. Likewise, discarding metrics after a session ends negates the purpose of monitoring user behavior and system performance over time, which is crucial for optimizing applications.