Author:
Chaitanya Kanth TummalachervuPublished in
Journal of Science Technology and Research( Volume , Issue )
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ABSTRACT:
Exploring server-less computing for efficient cloud architecture reveals a transformative model where developers deploy code without managing servers. This Function as a Service (FaaS) approach dynamically allocates resources only when triggered, reducing idle infrastructure costs and improving scalability. Platforms like AWS Lambda, Google Cloud Functions, and Azure Functions enable fine-grained billing and automatic scaling, making server-less ideal for event-driven and variable workload applications. Although challenges such as cold starts and debugging complexities persist, server-less computing simplifies deployment and accelerates innovation cycles. This paper investigates the foundational principles, benefits, and practical applications of server-less models in modern cloud ecosystems. It also addresses how this architecture enhances cost-efficiency and operational agility across industries. By exploring server-less computing for efficient development and deployment. Thus ,we highlight its ability to optimize cloud resource management, promote modular design through microservices, and enable rapid innovation in dynamic computing environments and cost-effective cloud architecture.
INTRODUCTION:
Exploring server-less computing for efficient cloud solutions begins with understanding how this paradigm shifts focus from infrastructure management to pure function execution. In a server-less model, developers write and deploy code as functions that automatically scale and run in response to specific triggers. Unlike traditional cloud approaches that require provisioning and maintaining servers, server-less computing eliminates idle costs by allocating resources only when needed. This event-driven architecture, supported by platforms like AWS Lambda, Google Cloud Functions, and Azure Functions, allows for agile development and granular billing. As a result, businesses can build applications faster while optimizing costs and operational performance. Server-less environments naturally support microservices and real-time processing, making them ideal for variable workloads. In this paper, we are exploring server-less computing for efficient cloud-native application development. We detail its operational principles and address implementation challenges to demonstrate its powerful role in modern, scalable, and cost-effective cloud architecture.
