Optimizing Cost and Performance in Serverless Batch Processing A Comparative Analysis of AWS Step Functions vs

Abstract

This research presents a comprehensive comparative analysis of AWS Step Functions and traditional workflow orchestrators in the context of large-scale batch processing. Through empirical testing and real-world implementations, we evaluate performance metrics, cost implications, and architectural considerations across different scales of operation. Our findings indicate that AWS Step Functions offers superior cost efficiency for intermittent workloads, while traditional orchestrators may be more cost-effective for consistent, high-volume processing. The study provides a decision framework for architects and developers to choose appropriate workflow orchestration solutions based on their specific use cases.