Sampling
Sampling reduces the cost of processing and storing large volumes of data. For example, if a service receives 100 requests per second and you set a sample rate of 10%, the system sends 10 spans per second.
Sampled data doesn’t provide a complete picture of your system, but it helps you understand service dependencies, aggregated performance, and health metrics. You can use two main sampling strategies: