In summary, we process incoming captured data in real-time while looking for the trigger. During this process, performance bottlenecks could occur, which are most commonly caused by using high sampling rates, enabling a large number of channels, and/or running on a relatively low performance PC. The glitch filter feature can also significantly slow down processing performance. This may cause a backlog of unprocessed data (i.e. "backlogged data") to start building up. If this occurs, you will notice a backlog amount (in seconds) appear in the Memory buffer usage window during a capture like shown in the image below.