Integrating Secure Devops And Resilience Strategies In Retail Cloud-Native Architectures: Observability, Fault Tolerance, And Compliance Perspectives

Abstract

The rapid migration of critical retail services to cloud environments has elevated the importance of resilient, secure, and compliant cloud‑native systems. Retail organizations increasingly depend on dynamic, distributed architectures that support real‑time transaction processing, personalized customer experiences, and seamless omnichannel integration. However, the complexities of modern cloud infrastructures expose these systems to multi‑vector threats, performance bottlenecks, compliance violations, and systemic failures when not architected and managed holistically. This research synthesizes interdisciplinary perspectives from Secure DevOps methodologies, observability frameworks, fault‑tolerance mechanisms, and resilience planning to define an integrative model for cloud‑native retail ecosystems. We examine how proactive strategies for security assurance, dynamic scaling, distributed tracing, predictive fault mitigation, and architectural quantification coalesce to support resilience and regulatory compliance at scale. Drawing on empirical studies and theoretical frameworks in cloud dependability, we articulate how Chaos Engineering principles, autonomous microservices recovery, and compliance‑driven DevOps practices interact to enhance operational continuity. The research highlights critical trade‑offs between performance and security, proposes metrics for resilience assessment, and outlines methodological considerations for implementation. By advancing a nuanced conceptualization of secure, resilient retail cloud environments, this study offers a path toward robust systems capable of withstanding evolving technical and regulatory challenges.