Integrating Chaos Monkey into Reliability Engineering Practices for Financial Systems

Akash Verma

Abstract: The increasing complexity and regulatory sensitivity of financial transaction platforms demand robust reliability engineering practices capable of ensuring uninterrupted service delivery under adverse conditions. While conventional testing methods-such as load and stress testing-are effective in validating performance thresholds, they often fail to reveal latent systemic vulnerabilities that manifest only during unexpected component failures. Chaos engineering, and specifically the use of Netflix?s Chaos Monkey, offers a proactive approach to uncovering these weaknesses by deliberately introducing controlled disruptions in a safe environment. This paper presents a conceptual framework for integrating Chaos Monkey into the reliability engineering lifecycle of financial systems. The proposed model defines safe fault-injection parameters, regulatory compliance safeguards, and performance metrics tailored for mission-critical financial applications. Rather than reporting empirical results, the study consolidates insights from existing literature, industry practices, and reliability engineering principles to formulate a structured methodology for adoption. The framework aims to help financial institutions embed chaos engineering principles into their operational resilience strategy without compromising compliance or customer trust.

Keywords: Chaos Engineering, Chaos Monkey, Financial Systems, Reliability Engineering, Fault Injection, Resilience Testing, Distributed Systems

How to Cite?: Akash Verma, "Integrating Chaos Monkey into Reliability Engineering Practices for Financial Systems ", Volume 14 Issue 11, November 2025, International Journal of Science and Research (IJSR), Pages: 145-148, https://www.ijsr.net/getabstract.php?paperid=SR251102180223, DOI: https://dx.doi.org/10.21275/SR251102180223