As organizations increasingly adopt cloud platforms for critical data and service delivery, ensuring system resilience and uninterrupted access during failures has become a key concern. Traditional disaster recovery methods often reliant on periodic backups and manual intervention struggle to meet the demands of real-time recovery in dynamic cloud environments. Real-time monitoring mechanisms track the health of the primary node and trigger an automatic failover to the backup in case of system failure. Experimental results demonstrate that the system maintains data consistency, minimizes downtime to under two seconds during failovers, and operates autonomously without human intervention.
Zeba Firdouse C (Mon,) studied this question.