Serverless Computing in Modern Enterprise It: A Review

This review explores the transformative role of serverless computing in modern enterprise IT, examining its impact on infrastructure management, scalability, and cost efficiency. As organizations increasingly shift from monolithic and container-based architectures to event-driven, serverless models, this paper investigates the strategic drivers behind adoption, including the elimination of server management, improved developer productivity, and enhanced agility. Key findings reveal that serverless computing significantly reduces operational overhead and enables rapid deployment of microservices, though challenges such as vendor lock-in, cold start latency, and observability limitations persist. The review evaluates various serverless platforms—such as AWS Lambda, Azure Functions, and Google Cloud Functions—highlighting differences in performance, pricing models, and integration capabilities. It also assesses enterprise use cases ranging from data processing and real-time analytics to backend services for web and mobile applications. The analysis underscores the importance of aligning serverless strategies with business goals, governance frameworks, and security policies. In conclusion, serverless computing offers a compelling paradigm for enterprises seeking to accelerate digital transformation, optimize resources, and drive innovation. However, careful consideration of its limitations and strategic implementation is critical to maximizing its benefits in complex IT environments.