What aspect of telemetry does the term "sampling" primarily address?

Sampling primarily addresses data reduction and export control within the context of telemetry. In scenarios where it is not feasible or efficient to collect and analyze all data generated, sampling allows for selecting a representative subset of that data. This approach significantly reduces the amount of data that needs to be processed and stored, lowering storage requirements and improving the speed and efficiency of data analysis.

By filtering out less critical data points and focusing on a representative sample, organizations can still gain useful insights into system performance and behavior without overwhelming their telemetry systems. This is particularly relevant in environments that generate large amounts of telemetry data, where managing the volume can be challenging. Thus, sampling ensures that the most significant data is captured for analysis while facilitating effective export control, enabling the selection of which data to send to external systems for further processing or storage.