Automated Cloud Backup System Using AWS

Abstract: With the increasing dependence on digital data, the need for reliable backup and data recovery mechanisms has become critical. Data loss may occur due to hardware failure, accidental deletion, cyber threats, or system crashes. Traditional backup systems often rely on manual copying or scheduled backups, which are time-consuming and prone to human errors. This research proposes an Automated Cloud Backup System using Amazon Web Services (AWS) that ensures secure and automatic replication of files in a cloud environment. The system utilizes Amazon S3 for scalable object storage, AWS Lambda for serverless automation, IAM for secure access management, and CloudWatch for monitoring system activity. Whenever a file is uploaded to the primary S3 bucket, an event notification automatically triggers the Lambda function. The Lambda function then replicates the file into a secondary backup bucket, ensuring that a duplicate copy of the data is always available. This event-driven architecture eliminates manual backup processes and improves data reliability. The experimental results demonstrate that the proposed system successfully performs automated file replication with minimal latency and high reliability. The system ensures efficient data protection and provides a scalable backup solution for modern cloud-based applications.

Keywords: Cloud Computing, Data Backup, Amazon Web Services, AWS Lambda, Amazon S3, Serverless Architecture