Establishing a secure data transfer framework for legacy cloud migration

With more enterprises moving to the cloud in order to obtain better scalability, cost savings, and agility, this project provides a secure and systematic model of migrating legacy applications with low operational impact. We used a hybrid method, with rebuild and rehosting strategies, to enable a smooth deployment on AWS, using JPetStore, a Java based E-commerce application. The second step of the rebuild was aimed at updating the architecture of the application, optimizing the database settings and compatibility with cloud-native services. In an endeavor to improve portability and consistency, we implemented the Docker-based containerization, which allows the smooth deployment of it in various environments. AWS infrastructure was equipped with the important services, EC2 which provides scaled computing power, S3 which provides storage and RDS which provides managed database services to provide a resilient and robust cloud environment. Security was at the first priority as the application was secured by means of end-to-end encrypted data transfers, IAM-based authentication, and granular access control mechanisms. After migration, performance testing and optimization were performed intensively to ensure functionality and test scalability under different load conditions and underpin anticipated cost efficiencies. This project does not only provide a scalable, secure and repeatable cloud migration architecture, but It also demonstrates industry best practices of migrating older systems to the cloud to unlock the benefits of the cloud, including a higher level of security, better use of resources and more business responsiveness. The framework would be a worthy roadmap to those organizations that have decided to participate in similar cloud migration undertakings.