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Introduction & The Challenge
When we began the journey to migrate our data protection infrastructure, our core goal was shifting from a reactive backup mentality to a proactive cyber resilience posture. This required consolidating 5PB of data across 12 global data centers and building an automated disaster recovery environment in the cloud.
This article covers the technical architecture we chose, focusing specifically on how the Rubrik Security Cloud (RSC) enables automated recovery and validation steps that helped reduce our Financial Database Recovery Time Objective (RTO) from 16 hours to just 2 hours.

1. Hybrid Architecture Overview: On-Prem to AWS
Our environment relies on a hybrid architecture, securing core business systems like VMware and Microsoft 365. The critical design decision was utilizing Rubrik appliances on-premises for fast local recovery, while integrating them tightly with the Rubrik Security Cloud (RSC) in AWS for cloud-based disaster recovery.
By leveraging RSC's cloud capabilities, we achieved two key technical wins:
- Eliminating Third-Party DR Sites: We no longer require a separate, costly third-party DR data center for VMware workloads. The cloud acts as our DR target.
- Unified Management: The 5PB of data across 12 global data centers is managed from a single control plane, consolidating three legacy backup tools into one.
Practitioner Tip Placeholder
This section is reserved for a short, impactful tip related to optimizing hybrid architecture, such as network latency considerations or best practices for cloud-based replication policies.
Orchestrating Cloud DR (OAR) for Sub-Hour RTOs
The biggest time saving came directly from the deployment of Orchestrated Application Recovery (OAR). OAR is essential for any high-risk application because it validates that a group of interdependent services (e.g., Application, Web, and Database servers) can fail over together in a verifiable, automated sequence. This move transformed our ability to guarantee business continuity.
The shift in mindset, as Zatarain noted, was profound: "We've gone from a backup restore solution to a complete cyber-resilient solution!"
Zero-Trust Security: Threat Hunting & Validation
In a true cyber-resilience model, restoration speed is useless if you reintroduce malware. The Enterprise Edition features we use are focused on ensuring the recovery point is clean:
- Anomaly Detection: This continuously scans for indicators of compromise (IOCs) like mass deletions or encryption patterns. If triggered, it immediately flags the clean recovery points.
- Threat Monitoring & Hunting: We use the built-in Mandiant feed intelligence to scan recovery snapshots for known malware signatures. This is the non-negotiable step that ensures we restore clean data and eliminate malware recurrence.
- Sensitive Data Monitoring: For compliance purposes (GDPR, PII, Internal IP), the platform helps us monitor where regulated data resides and determine the precise magnitude of a breach for regulatory reporting.
Deep Dive Example: Ansible Code or OAR Diagram
This section is a placeholder for a technical asset (e.g., an Ansible code snippet, a detailed API call workflow, or a flowchart of the OAR process) to further illustrate the complexity of the deployment.
Automating Cyber Resilience and Next Steps
By integrating immutable backups with orchestrated recovery and automated validation, we moved our focus from simply hoping we had a backup to guaranteeing a clean, fast recovery. The resulting 87.5% reduction in RTO for our financial databases is the most visible outcome of adopting a genuine Zero Trust Data Security posture.
Key Technical Results:
By integrating immutable backups with orchestrated recovery and automated validation, we moved our focus from simply hoping we had a backup to guaranteeing a clean, fast recovery. The resulting 87.5% reduction in RTO for our financial databases is the most visible outcome of adopting a genuine Zero Trust Data Security posture.
| METRIC | BEFORE RUBRIK | AFTER OAR IMPLEMENTATION |
|---|---|---|
| Financial DB Recovery Time (RTO) | 16 Hours | 2 Hours |
| Protected Data Footprint | Disparate, Not Unified | 5 PB across 12 global data centers |
| Testtable | BEFORE RUBRIK | AFTER OAR IMPLEMENTATION |
|---|---|---|
| Financial DB Recovery Time (RTO) | 16 Hours | 2 Hours |
| Protected Data Footprint | Disparate, Not Unified | 5 PB across 12 global data centers |







