AWS Step Functions for Orchestrating Serverless Workflows

Abstract: In the modern digital era, managing student records manually through traditional standalone applications introduces challenges such as inconsistent validation, delayed notifications, and high infrastructure overhead. This project presents the design and implementation of a Serverless Student Record Management and Notification System using Amazon Web Services (AWS). The system leverages AWS Step Functions as the central workflow orchestration service, coordinating multiple serverless components to automate data validation, storage, and notification in a sequential pipeline. Student information submitted in JSON format is validated using AWS Lambda, securely stored in Amazon DynamoDB, and confirmed to administrators via automated email notifications through Amazon SNS. System execution is monitored in real time using Amazon CloudWatch. The proposed architecture eliminates dedicated server infrastructure, enables automatic scalability, and reduces operational costs, demonstrating a practical cloud-native approach to modern educational data management.

Keywords: AWS Step Functions, Serverless Computing, AWS Lambda, Amazon DynamoDB, Amazon SNS, Cloud Computing, Student Record Management, Workflow Orchestration, Python.