Cross-Platform Backup and Disaster Recovery Automation in Hybrid Clouds

Abstract

Hybrid cloud computing integrating public and private infrastructures—has become the foundation for modern enterprise operations. However, maintaining consistent backup and disaster recovery (BDR) processes across diverse cloud platforms remains a major technical challenge. Conventional vendor-specific solutions often result in fragmented policies, inconsistent data protection, and extended downtime after failures. This paper presents an automated cross-platform backup and disaster recovery framework designed specifically for hybrid cloud environments. The proposed approach combines policy-driven orchestration, multi-region replication, and container-based recovery mechanisms to deliver an intelligent, vendor-agnostic solution. By unifying APIs from multiple cloud providers, the system synchronizes backup schedules, validates snapshots, and executes disaster-recovery failovers automatically. Machine-learning modules continuously monitor performance metrics to detect anomalies and trigger self-healing responses. Experimental deployment across AWS, Azure, and an on-premises OpenStack environment demonstrated substantial improvements. The automated framework reduced average Recovery Time Objective (RTO) by 37% and Recovery Point Objective (RPO) by 41% compared with conventional single-cloud BDR tools. It also improved backup consistency by 8% while lowering operational costs through reduced manual intervention. This study contributes to the growing body of research on hybrid-cloud resilience, demonstrating that intelligent, cross-platform automation can achieve faster recovery, higher data integrity, and better compliance with enterprise continuity standards. The framework offers a scalable foundation for next-generation disaster recovery systems in multi-cloud infrastructures.