Chaos Engineering methodology and the resilience of distributed IT teams

Abstract

The paper explores the application of Chaos Engineering methodology to enhance the resilience of distributed IT teams through improved risk management and project process optimization. A mathematical model has been developed to quantitatively assess key parameters, including latency, communication barriers, information system stability, functional distribution, proxy role efficiency, and team variability. The model employs discrete interval analysis, enabling the evaluation of dynamic changes and the impact of risks on the performance of distributed teams. Special attention is given to failure modeling methodology, which incorporates the simulation of critical scenarios to test system resilience under high uncertainty conditions. The proposed theoretical and practical approaches contribute to advancing risk management methods in contemporary dynamic IT environments.