Which type of discovery can lead to faster performance due to executing all operations sequentially?

Pattern discovery is the type of discovery that can lead to faster performance due to executing all operations sequentially. The primary purpose of pattern discovery is to identify and map out configuration items (CIs) in the network based on predefined patterns. By executing operations in a sequential manner, it can reduce the load on the system and ensure that each operation completes before the next one begins. This approach minimizes the issues that can arise from running too many procedures concurrently, such as resource contention and network saturation.

In contrast, other discovery methods may execute operations simultaneously or with less control over the order in which they occur, which can lead to performance issues on larger or more complex networks. While sequential processing might be slower in terms of overall discovery time, the controlled nature of pattern discovery can ultimately lead to more efficient resource usage and quicker completion of individual tasks within the workflow, thus enhancing overall performance in specific scenarios.