The Role of Load Testing in Ensuring the Fault Tolerance of Cryptocurrency Exchanges

Khapankou Anton

Citation: Khapankou Anton, "The Role of Load Testing in Ensuring the Fault Tolerance of Cryptocurrency Exchanges", Universal Library of Engineering Technology, Volume 03, Issue 01.

Copyright: This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The article is devoted to the analysis and improvement of methods for ensuring the fault tolerance of centralized cryptocurrency exchanges (CEX) through the implementation of continuous load-testing strategies. The relevance of the study is ??????????? the volatility of the digital asset market and the increasing frequency of technical failures of trading platforms during peak loads. The novelty of the work lies in the development of a hybrid testing model that combines classical stress testing with elements of chaos engineering. Within the framework of the work, key architectural vulnerabilities of modern exchange matching engines are described, and existing approaches to performance metrics are examined. Particular attention is paid to modeling Flash Crash scenarios. The authorial hypothesis is that traditional load-testing schemes based on linear load ramp-up are insufficient for cryptocurrency exchanges; a more relevant approach is one based on stochastic modeling of avalanche-like orders, nonstationary distributions of flow intensity, and the controlled injection of failures into a microservice environment. The work aims to develop methodological recommendations for integrating adaptive load testing into the CI/CD pipelines of fintech platforms. To achieve this, methods of comparative analysis, system modeling, and synthesis of architectural patterns are used. Modern foreign sources describing microservice architecture and high-frequency trading are studied. The conclusion describes the author’s concept of a system for proactive detection of the most vulnerable points in performance. The article will be useful for system architects, QA engineers in the FinTech domain, and researchers of the reliability of distributed systems.


Keywords: Cryptocurrency Exchange; Load Testing; Stress Testing; Chaos Engineering; Scalability.

Download doi https://doi.org/10.70315/uloap.ulete.2026.0301007