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Serverless Automation Framework for Scalable and Fault-Tolerant Cloud Operations

Authors:

Praveen Kumar Thota

Cleveland State University, USA

Abstract: Progress in cloud computing has resulted in different ways of building, rolling out, and maintaining today’s applications. Serverless computing, which emerged during this period, takes care of managing servers and allows developers to focus only on their code and what it does. The paper looks carefully at a serverless automation framework capable of ensuring scalability and fault tolerance in dynamic cloud.

With serverless computing, users rely on event-based architectures and can take advantage of cloud services that handle scaling, keep the system running, and manage billing which is a major change in how services are handled. Achieving flexibility and less maintenance of servers with AWS Lambda, Azure Functions, and Google Cloud Functions results in higher development speed and reduced workload for running operations. The paper outlines the main architectural aspects of serverless frameworks by discussing how to use AWS Step Functions to organize stateless functions, handle errors, and manage the state.

It also examines the capacity for automation in these frameworks, pointing out how using Infrastructure as Code (IaC) and DevOps makes it possible to repeat deployments, maintain a regular flow of updates, and perform thorough monitoring. The topic investigates how including retry mechanisms, dead-letter queues, and circuit breakers into architecture is instrumental for facing challenges and maintaining resilience.

What we see in actual deployments is that serverless automation saves money, responds well to demands, and makes operations easier. In addition, the challenge of being fixed to a vendor, slow start time, worries about security, and issues with debugging are also examined. Using the exploration in the paper, organizations can learn how to use serverless automation frameworks in the cloud to boost availability, make things more scalable and cost-efficient, and improve how the organization operates.

Keywords: Serverless Computing, Cloud Automation, Fault Tolerance, Scalability, Event-Driven Architecture, Infrastructure as Code, DevOps, AWS Lambda, Step Functions, Resilient Systems