FIG. 2E depicts relative frequency matrix 214 as generated based on network matrix 212. Relative frequency matrix 214 is generated by analyzer 114 dividing each cell in each row of matrix 212 by the sum (if not zero) of the cells within that row. Thus, in row 1 of relative frequency matrix 214, 50 percent of microservice MS1′s call are to microservice MS5, while only 25 percent are to microservice MS2 and 25 percent to microservice MS3, respectively. This implies that microservice MS5 is most likely affected by a change or modification to microservice MS1. Similarly, row 2 of relative frequency matrix 214 indicates that microservice MS2 is most likely affected by a change to microservice MS1 since 33 percent of MS2's calls are to MS1, while microservices MS4, MS5, and MS6, respectively, each account for only a 17 percent share of MS2's invocations (the percentages to do not sum to one because MS2 invokes itself in process 204). A similar analysis can be performed by analyzer 114 based on a relative frequency of incoming calls as well. Processes 200, 204, and 208, invocation matrices 202, 206, and 210, network matrix 212, and relative frequency matrix 214 can be visually presented, as shown, by visualizer 116.
