A Containerized Microservices Framework for Vendor and Supply Chain Management Using Docker and Kubernetes on AWS EKS

Abstract: Modern supply chains span many vendors, fluctuating order volumes, and geographically dispersed stakeholders, yet a large share of enterprise procurement systems remain monolithic and statically provisioned, which limits their ability to scale during demand peaks and complicates iterative feature delivery. This paper presents the design, implementation, and evaluation of a containerized vendor and supply chain management platform built as a set of independently deployable microservices. The business logic is implemented in Java and exposed through RESTful interfaces, while a Node.js layer renders the client experience. Each service is packaged as a Docker image and orchestrated on Amazon Elastic Kubernetes Service (EKS), where a Horizontal Pod Autoscaler adjusts replica counts according to live CPU and request metrics, and a managed ingress controller balances inbound traffic. Persistent state is externalized to Amazon RDS, with Redis caching and Amazon S3 document storage. Delivery is automated through a container pipeline that builds and tests artifacts, publishes images to Amazon ECR, and performs rolling updates with health-gated rollback. Experimental evaluation under synthetic procurement load shows that the proposed system sustains average response times below 300 ms at eight thousand concurrent requests, scaling elastically from three to eighteen pods, whereas a virtual-machine monolith degrades beyond three seconds. The platform also reduces deployment lead time and isolates faults to individual services. The contributions are a modular containerized reference architecture, an autoscaling orchestration strategy, and a reproducible continuous-delivery workflow for supply chain operations.

Keywords: Microservices; Docker; Kubernetes; AWS EKS; supply chain management; horizontal pod autoscaling; containerization; DevOps