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LEVERAGING LARGE LANGUAGE MODELS (LLMS) FOR ENHANCED DISASTER RECOVERY IN AWS
Prashant Lakhera
Abstract: Disaster recovery (DR) is a critical component of any organization's cloud strategy, ensuring business continuity during catastrophic events. This paper provides an in-depth exploration of various DR strategies available within Amazon Web Services (AWS), including Backup and Restore, Pilot Light, Warm Standby, and Multi-Site Active/Active. We focus on optimizing Recovery Time Objective (RTO) and Recovery Point Objective (RPO) for critical workloads while balancing cost and complexity. The paper also explores integrating AWS-native services with cutting-edge automation techniques to ensure a robust disaster recovery solution that aligns with business continuity plans.