Serverless Architectures: Redefining Scalability and Cost Optimization in Cloud Computing

Abstract

Serverless computing, especially the FaaS, has disrupted the development of cloud-native applications by fundamentally changing the way organizations build their infrastructure and deploy their applications. This is an architectural paradigm that abstracts away the issue of provisioning servers and, as such, enables the developers to simply think about business-related logic with cloud providers taking care of the underlying execution environment. The article will look at the evolution path of cloud computing using Infrastructure as a Service, Containerization, and the serverless models. It will look at the major components that make up standard serverless models, comprising event triggers, execution environments, handler functions, and backend cloud services. Examples of strategic benefits that are discussed and factored in alongside the technical concerns are automatic scaling, cost efficiency on a granular level based on actual consumption, and the reduction in operation complexity. The article will also deal with new trends defining the current state of serverless environments, such as artificial intelligence as an element of workload prediction, stateful function paradigm, multi-cloud deployment strategies, specialized workload hardware acceleration, and sustainability. Exploring the real implementations and up-to-date studies, this article will thoroughly describe how serverless architectures can bring elastic computing at a low cost, with the considerations of benefiting implementations in a variety of application landscapes.