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International Journal of Advanced Research in Computer and Communication Engineering
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
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← Back to VOLUME 15, ISSUE 5, MAY 2026

A Scalable, Serverless Cloud Architecture for Real-Time Courier and Shipment Tracking Using AWS ECS Fargate and Containerized Microservices

BOKKA DIVYA, Dr. CHIRAPARAPU SRINIVASA RAO*

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Abstract: The rapid expansion of e-commerce and on-demand delivery services has created an urgent demand for logistics platforms that are highly available, geographically scalable, and capable of providing customers with transparent, real-time shipment visibility. Conventional courier management systems, predominantly constructed on monolithic architectures hosted on dedicated servers or virtual machines, suffer from significant operational bottlenecks including high infrastructure maintenance overhead, manual scaling constraints, extended deployment cycles, and inadequate customer notification mechanisms. This paper presents the design, implementation, and evaluation of a cloud-native courier and shipment tracking system built on Amazon Web Services (AWS) Elastic Container Service (ECS) with Fargate as the serverless compute engine. The proposed architecture containerizes a Flask-based web application using Docker, automates the continuous integration and deployment (CI/CD) pipeline via AWS CodePipeline and Elastic Container Registry (ECR), and exposes a dual-portal interface-one for end-users to create and track shipments, and a secured administrative dashboard for logistics operators to update delivery statuses. Shipment state transitions trigger automated email notifications to recipients through an SMTP-based notification module. PostgreSQL is employed as the relational persistence layer, accessed through Flask-SQLAlchemy ORM. Experimental evaluations demonstrate that the proposed system achieves an average API response time of 142 milliseconds, 99.9% system availability, and supports automated horizontal scaling without manual infrastructure provisioning. The results confirm that the adoption of serverless container orchestration substantially outperforms both traditional monolithic deployments and VM-centric cloud configurations in terms of operational efficiency, deployment agility, and resource utilization.

Keywords: Serverless Computing; AWS ECS Fargate; Container Orchestration; Courier Tracking System; Flask; RESTful API; CI/CD Pipeline; Cloud-Native Architecture; Docker; Real-Time Notification.

How to Cite:

[1] BOKKA DIVYA, Dr. CHIRAPARAPU SRINIVASA RAO*, “A Scalable, Serverless Cloud Architecture for Real-Time Courier and Shipment Tracking Using AWS ECS Fargate and Containerized Microservices,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.155309

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