Get New Insights with Genetic Algorithms
The complexity of modern applications can make it virtually impossible to fully understand the causal relationships between all of the elements that comprise the applications. We often find organizations struggling with the "Ghost in the Machine" problem, where periodically applications fail or experience a severe performance degradation and no one can figure out why.
FireScope Analytic's Genetic Algorithm is uniquely suited for these situations. In essence, it is a search heuristic that mimics the process of natural evolution. This heuristic is routinely used to generate useful solutions to optimization and search problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.
When applied to your technology, the Genetic Algorithm helps identify related or potentially causal activity across all the elements of a service, enabling organizations to identify scenarios where latency on a filer may be causing upstream database queries to time out, for example.