Serverless Computing: A Comprehensive Analysis of Infrastructure Abstraction in Modern Cloud Computing

Abstract

This article presents a comprehensive analysis of serverless computing as an emerging paradigm in cloud infrastructure management. Through systematic examination of its core characteristics, we explore how serverless architecture fundamentally transforms traditional infrastructure management by abstracting server operations from application development. The article investigates the dual impact of automated scaling mechanisms and event-driven architectures on resource utilization and developer productivity. The article demonstrates that serverless computing's pay-per-use model potentially reduces operational costs by 30-45% compared to traditional cloud deployments, primarily through elimination of idle resource allocation. The article examines the technical implications of infrastructure abstraction across various use cases, highlighting both opportunities and challenges in areas such as cold start latency, debugging complexity, and vendor lock-in considerations. The findings suggest that while serverless computing offers significant advantages in resource optimization and developer focus, organizations must carefully evaluate their specific use cases and requirements before adoption. This article contributes to the growing body of literature on cloud-native architectures and provides practical insights for both academic researchers and industry practitioners in the field of cloud computing.