Chaos Engineering has conventionally been seen as a technical field dedicated to introducing controlled errors into distributed systems to identify vulnerabilities and enhance system resilience. This system-centric perspective has yielded considerable progress in cloud-native reliability; however, insufficient focus has been directed towards the human aspect of resilience engineering—particularly, how chaos experimentation can enhance learning, bolster cognitive preparedness, and fortify the competencies of engineering teams functioning amidst uncertainty. This study presents a Human-Centered chaotic Engineering (HCCE) Model, an innovative framework that reconceptualizes chaotic experiments as organized learning interventions instead of merely system stressors. Utilizing concepts from resilience engineering, DevOps culture, Site Reliability Engineering (SRE), and experiential learning theory, the proposed model identifies chaos experiments as tools to improve mental frameworks regarding failure, decrease incident response time, cultivate an antifragile team culture, and strengthen rapid decision-making. This paper illustrates, via case studies from enterprise DevOps and SRE Dojo programs, how chaos-driven learning settings promote psychological safety, facilitate collaborative problem-solving, and cultivate engineers who are not merely system operators but practitioners of resilience. The research posits that the forthcoming advancement in Chaos Engineering is not solely in automating fault injection or enhancing observability, but in fostering high-reliability teams adept at anticipating, adapting to, and learning from disruptions. The findings present a distinct viewpoint that integrates sociotechnical systems theory with practical enterprise engineering, establishing Chaos Engineering as a transformative educational framework for contemporary software organizations.

Chaos Engineering, Human-Centered Design, High-Reliability Engineering, Site Reliability Engineering (SRE), DevOps, Organizational Learning, Resilience Engineering, Cognitive Readiness, Sociotechnical Systems

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