Author(s): Bogutskii Aleksandr

Abstract: In this article, engineering approaches to building high-performance real-time services are considered using the example of antifraud services. It examines the experience of creating distributed high-load solutions applied in industry for processing billions of events in real time with minimal latency. Engineering solutions aimed at detecting suspicious activities are investigated, including data filtering, cleansing, deduplication, and normalization, as well as information aggregation using window functions, hierarchical aggregation, and approximate computing. Architectural patterns and practices for implementing correct processing semantics are described. Approaches to ensuring system stability and performance are also examined.

DOI: 10.33545/26633582.2025.v7.i2b.214

Pages: 176-179 | Views: 218 | Downloads: 105

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