Cloud-Native Platform Engineering for High-Scale Retail Systems: Designing Resilient Microservices and Intelligent Infrastructure
Keywords:
Cloud-Native Platform Engineering, High-Scale Retail Systems, Microservices Architecture, Resilient Distributed Systems, Intelligent Infrastructure, Kubernetes Orchestration, Containerization, Infrastructure as Code, Service Mesh, Site Reliability Engineering.Abstract
High-scale retail systems are intensive users of computational resources, from network bandwidth and CPU capacity to I/O operations and data storage. An enormous volume of events must be processed daily with extremely low latency, while periodic peaks of extraordinary traffic demand extreme elasticity. The automated management of such ever-changing environments is a major challenge. Resilience is also essential in retail, and the impact of availability on end-user experience cannot be overstated. Cloud-native platforms offer the possibility to deploy and run applications with reduced maintenance costs while ensuring the required quality of service. This paper presents a conceptual design methodology for cloud-native retail platforms that focuses on resilience-oriented architecture and microservice design principles, without addressing implementation or deployment concerns. The methodology identifies fundamental design aspects and explores their implications for resiliency. The results can be leveraged to inform real-world implementation decisions.
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