Chaos Testing: A Proactive Framework for System Resilience in Distributed Architectures
Abstract: As distributed architectures solidify their role as the foundation of modern IT ecosystems, guaranteeing operational resilience under adverse conditions has become paramount. Chaos Testing?a sophisticated resilience engineering discipline?probes systemic weaknesses by injecting simulated, controlled failures that mimic real-world stressors within a production-like environment. This paper details a rigorous methodology for executing chaos testing, with a focus on high-fidelity fault injection techniques, comprehensive observability frameworks, and automated recovery protocols. Our objective is to provide engineers with a robust, strategic framework for architecting systems that exhibit high availability and fault tolerance, sustaining critical performance levels amidst unpredictable disruptions and failure scenarios. This approach ensures that systems are not only resilient in theory but tested rigorously under the same chaotic conditions they would face in production.
Keywords: Chaos Testing, Resilience Engineering, Distributed Systems, Fault Injection, Microservices, Observability, Fault Tolerance, Service Recovery, High Availability
How to Cite?: Chandra Shekhar Pareek, "Chaos Testing: A Proactive Framework for System Resilience in Distributed Architectures", Volume 13 Issue 11, November 2024, International Journal of Science and Research (IJSR), Pages: 851-855, https://www.ijsr.net/getabstract.php?paperid=SR241110081650, DOI: https://dx.doi.org/10.21275/SR241110081650