Referring additionally now to FIG. 3, operative features 300 of system 100 according to one embodiment are depicted schematically. Constructor 112 illustratively generates network matrices 302a arrayed along time axis 302b to form a tensor. Network matrices 302a can be constructed by constructor 112 summing individual invocation matrices corresponding to processes 304 and data 306, which is associated with each of the processes by associator 110. Data 306 and the tensor comprising network matrices 302a arrayed as time series along time axis 302b can be stored in database 308. In certain embodiments, network matrices 302a and time axis 302b are part of a multi-dimensional tensor (additional axes not explicitly shown) that also include, for example, arrays indicating the vendor and/or version of each microservice. The multi-dimensional tensor stored in database 308 thus can indicate, at each point in time, the then-current vendor and/or version of each microservice that is part of the network of microservices.
