In this chapter, we created a topology that processes diagnosis information to identify anomalies, which would indicate an outbreak. This same data flow could be applied to any type of data, including weather, seismic information, or traffic data. We exercised the fundamental primitives in Trident to construct a system that is capable of counting events even if batches are replayed. Later on in this book, we will leverage these same constructs and patterns to perform similar functions.