Server Less Computing: Evaluating the Benefits and Challenges of Server Less Architecture in Cloud Computing

Abstract

Server less computing has emerged as a significant evolution in cloud architecture, offering a model where developers can deploy applications without the need to manage underlying server infrastructure. This paradigm shift has been driven by the desire for greater scalability, cost efficiency, and reduced operational complexity. This paper provides a comprehensive evaluation of the benefits and challenges associated with serverless computing. By examining various serverless frameworks and comparing them with traditional cloud models, the research highlights several key advantages, including on-demand scalability, reduced infrastructure management, and a pay-as-you-go pricing model that can lead to substantial cost savings.

However, the transition to serverless computing is not without its challenges. The paper discusses issues such as cold start latency, which can affect application performance, and vendor lock-in, which can limit flexibility and increase dependency on specific cloud providers. Additionally, the analysis addresses concerns related to security, monitoring, and debugging in a serverless environment. Empirical data, including performance metrics and cost analyses, are presented to provide a clear comparison between serverless architectures and conventional cloud services.

Through a combination of qualitative case studies and quantitative statistical analyses, this study offers a nuanced understanding of how serverless computing impacts various aspects of cloud-based application development and deployment. The findings are intended to guide organizations in making informed decisions about adopting serverless solutions, balancing the benefits of scalability and cost efficiency against the potential drawbacks. This research contributes valuable insights for cloud architects, developers, and business decision-makers seeking to navigate the evolving landscape of cloud computing.