International Journal of Science, Engineering and TechnologyAuthors: David Anderson, Laura Bennett, Daniel Foster, Christopher Hayes, Matthew Scott, Jeji Krishnan
Abstract: Modern enterprise platforms continue to struggle with recurring failures despite mature incident response practices, revealing the limitations of reactive operational models. This paper presents a systemic shift from incident response to preventive engineering, focusing on the identification, analysis, and elimination of recurring failure patterns across large-scale distributed systems. The proposed approach integrates evidence mapping techniques to correlate incident data, root cause trends, and patch histories, enabling organizations to move beyond temporary fixes toward sustainable, architecture-level solutions. By combining observability-driven insights, fault pattern clustering, and automated remediation strategies, the framework emphasizes proactive reliability engineering and continuous improvement. The study further explores the role of patch release optimization, feedback loops, and cross-functional collaboration in embedding preventive mechanisms into the software development lifecycle. Empirical evaluation across enterprise platforms demonstrates a significant reduction in incident recurrence, improved system stability, and enhanced operational efficiency. The findings highlight that long-term resilience is achieved not through faster incident resolution, but through systematic failure prevention, making preventive engineering a critical paradigm for next-generation enterprise system design.
DOI: http://doi.org/10.5281/zenodo.20265457
