This work is based on the diagnostic approach to observations and experiments with an emphasis on sustainable development criteria for the comparison of the state of generating dynamic systems. The basic idea is to choose the model of seismic observations, providing the use of forms of seismic signal as a classification criterion. This paper describes the mathematical models, algorithms and software implementation for the diagnosis of natural seismic generators in a number of high-energy events.Models of seismic signals based on information entropy is treated as strict specifications, “waveguide” from the source to the seismograph. The observed qualitative differences between the models are associated with changes in species status of the generator. Technology allows us to trace the development of geodynamic situation at any time and spatial range. We present a software implementation of algorithms based on entropy analysis of cloud computing Google App Engine to integrate with Web services, IRIS Data Management Center. Provide evidence for the choice of cloud providers with a specific problem to be solved.