An Investigative Analysis on Server Less Computing for Large-Scale Data Processing Using Cloud-Native Primitives

Abstract

New to the cloud computing scene is serverless computing, which offers a fresh take on application development and deployment without the traditional burden of infrastructure management. Serverless computing offers an attractive alternative to traditional approaches to large-scale data processing, with the advantages of reduced operational complexity, lower costs, and more scalability. We explore serverless computing as a means to analyze massive amounts of data using cloud-native primitives in this study. Developers who want to build apps for the cloud will find their job simplified by adopting a serverless computing architecture, which isolates all infrastructure management. Better resource usage and reduced costs are potential outcomes of serverless architecture, which is designed to handle fluctuating input loads on the system.