Outcomes
- Cost-optimized Azure-to-Azure DR across two production regions.
- No always-on DR virtual machines during steady-state replication.
- Centralized monitoring and alerting through a single dashboard.
- Protection for 40 VMs and 28 TB of business-critical data.
- Simplified DR operations with reduced management overhead.
Client Bio
A leading non-banking financial institution in India operates in a tightly regulated environment. Its digital platforms support large-scale financial services and require consistent availability across regions.
Situation
The organization had implemented native Azure-to-Azure disaster recovery between two regions. While meeting basic recovery requirements, the design resulted in high operational costs due to continuous replication to active disks and powered-on DR instances. DR management was also tightly integrated with multiple Azure services, increasing administrative complexity.
Impact
The existing DR architecture increased cloud expenditure and operational effort. Maintaining live DR infrastructure during normal operations created unnecessary cost, while complex dependencies made monitoring and management resource-intensive.
Solution
Datamotive was deployed to optimize Azure-to-Azure disaster recovery without compromising recovery readiness. By replicating data to page blobs during steady-state operations, Datamotive eliminated the need for running DR virtual machines, significantly reducing cloud costs. The platform also provided a unified dashboard with built-in monitoring and alerting, eliminating the need for multiple Azure components. This simplified operations, reduced overhead, and delivered a lean, predictable DR model protecting 40 virtual machines and 28 TB of data.