Chaos Testing: A Proactive Framework for System Resilience in Distributed Architectures

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.

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Publication Details

Journal
International Journal of Science and Research (IJSR)
Published
2024-11-05
DOI
https://doi.org/10.21275/sr241110081650
Citations
1
Primary Topic
Software System Performance and Reliability
Type
article
Field-Weighted Citation Impact
0.35
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article

Chaos Testing: A Proactive Framework for System Resilience in Distributed Architectures

Chandra Shekhar Pareek
1 citations
International Journal of Science and Research (IJSR)
Software System Performance and Reliability
0.35
article

Chaos Testing: A Proactive Framework for System Resilience in Distributed Architectures

Chandra Shekhar Pareek
article en
1 citations

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.

International Journal of Science and Research (IJSR)Vol. 13(11)
Summit Medical Group (United States) (US)
Openalex Percentile: Top 37%
Software System Performance and Reliability
0.35
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Chaos Testing: A Proactive Framework for System Resilience in Distributed Architectures — Chandra Shekhar Pareek · International Journal of Science and Research (IJSR) (2024) | TGRS Research Map | TGRS