Cloud Migration Made Easy: A 5-Step Automation Framework
Abstract - In the evolving landscape of software systems, the demand for seamless migration of applications from traditional local servers to cloud environments is rapidly increasing. However, this transition often involves a series of complex, manual, and repetitive tasks that can hinder scalability and productivity. This paper presents a streamlined approach aimed at minimizing the human effort involved in the migration of server-based applications to cloud infrastructure. The proposed system introduces an intelligent interface that allows users to initiate and manage the migration process through a minimal-input design. By leveraging automated scripting and remote execution, the system enables local environments to communicate with cloud-based virtual machines, facilitating the end-to-end setup, configuration, and hosting of applications with little to no manual intervention. The architecture focuses on reducing the operational overhead typically associated with cloud onboarding, offering a lightweight, user-centric model adaptable to various application types. This approach contributes to faster deployment cycles, improved efficiency, and an overall reduction in the complexity of cloud adoption processes. Key Words: Cloud Migration, Infrastructure Automation, Remote Scripting, Application Hosting, Virtual Machines, User Interface Automation, Lightweight Framework, Deployment Simplification, CI/CD Pipelines, DevOps, IaaS (Infrastructure as a Service), Cloud-Native Architecture, Platform Abstraction, Virtualized Environments, SSH Automation, Script-Driven Deployment, Remote Infrastructure Management, Server Provisioning, Cloud Scalability, Web Application Hosting.
Authors
- Pooja Patil (ORCID: https://orcid.org/0000-0002-1214-4867)
Publication Details
- Journal
- INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
- Published
- 2025-05-04
- DOI
- https://doi.org/10.55041/ijsrem46740
- Primary Topic
- Cloud Computing and Resource Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00