Enhancing Disaster Recovery with Multi-Region Data Replication in Public Sector Databases
DOI:
https://doi.org/10.51983/ijiss-2025.IJISS.15.3.42Keywords:
Disaster Recovery, Multi-Region Replication, Public Sector Databases, Recovery Time Objective (RTO), Replication Lag, Cloud ResilienceAbstract
As public sector organizations continue to migrate critical databases to cloud infrastructure, multi-region data replication for resilient disaster recovery (DR) is becoming increasingly important. This study provides a zero-based evaluation of multi-region replication for government systems in the context of RTO, RPO, MAPD, replication lag, and transaction commit assurance during failure simulations. A case study based on a custom benchmark framework implemented across three regions and two clouds showed active-active multi-region replication achieved 42% lower RTO and 60% better RPO compliance than previous DR standards. Replicated lag during failover also improved from an average of 4.2 seconds to 1.6 seconds with a 23% increase in stressed commit success rates. This research also highlights cross-region latency deviations as well as quantifying SLA breaches relating to various outage types. Centros emphasizes the advantages of active-active replication for enriched fault tolerance, reduced data loss, and enhanced service continuity for public sector data systems.
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