The chapter discusses the performance aspects of intelligent agents in Complex Event Processing (CEP) systems. The contemporary solution for implementing CEP systems is based on available software components (Siddhi) and modern implementation techniques (Kubernetes). However, Siddhi lacks the implementation of modern deep learning algorithms. Hence, the concept of intelligent agent is introduced. A case study with a set of intelligent agents designed to handle real-world events related to environmental data monitoring is presented. The results of the case study discussion indicate a reasonable scale for tuning the Event Processing Element (EPA) topology with correct responses and the required output performance level. These results have important implications for the practical implementation of the EPA structure, i.e., the use of GPUs in CEP systems. Finally, the results of performance analysis of different implementations of intelligent agents are presented and discussed.
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