What aspect of performance is measured by Datadog's latency tracking?

Latency tracking in Datadog specifically measures the time taken for requests to be processed by applications. This performance metric is crucial for understanding how quickly an application responds to user requests, which can directly impact user experience and satisfaction. By monitoring latency, teams can identify bottlenecks, diagnose issues in their application stack, and optimize performance.

In contrast, the other options pertain to different aspects of performance or data management. For instance, the amount of data transferred between servers focuses on network usage, while the frequency of user interactions with the application deals more with user engagement rather than performance speed. Lastly, the size of storage used by logs relates to data retention and storage management, which does not provide insights into processing times or request handling. Thus, option B accurately captures the essence of what latency tracking assesses within Datadog's monitoring framework.