Industry: Insurance
Industry Group: Health Insurance
Key Technologies/Platforms: Microsoft Azure, Databricks, Prefect, Kubernetes, and Python
Challenge
For a Fortune 500 health insurer, operational resilience was mission-critical. Every minute of downtime threatened more than productivity—it risked delayed claims processing, disrupted provider operations, and diminished member trust.
The organization’s Azure-based Databricks environment exposed a critical weakness: when any Azure region went down, all active workloads—including Databricks flows, FileWatcher services, and Prefect orchestration jobs—failed instantly. With no automated failover (automated backup), engineers were forced into manual reruns that consumed hours, introduced errors, and delayed service recovery.
Leadership recognized that this was not a technical inconvenience but a systemic vulnerability. They needed a disaster recovery as a service model capable of anticipating regional outages, automating failover between regions, and maintaining orchestration continuity without manual intervention.
Key challenges included:
- No automated failover: Regional outages immediately halted all active flows.
- Manual recovery bottlenecks: Engineers had to manually restart and rerun workloads, increasing error risk.
- Cascading dependencies: Failures in one region disrupted tightly integrated services across Prefect, FileWatcher, and Interlock.
- Lack of scalability: There was no reusable enterprise-wide DR model for future workloads or alignment with emerging cloud backup and recovery solutions.
Solution
Modak’s deep data engineering service expertise helped to engineer a true enterprise-grade disaster recovery automation on Azure framework that redefined resilience for the insurer’s cloud data operations. Built around Prefect orchestration, Databricks workloads, and Kubernetes infrastructure, the solution ensured uninterrupted data flow across Azure regions.
Core Capabilities Delivered:
- Dynamic Failover Orchestration
Kubernetes pods managing Databricks, Prefect, FileWatcher, and Interlock flows were rearchitected to automatically redeploy in a secondary Azure region during outages—preserving both workflow state and data integrity while aligning with the latest cloud backup and recovery solutions. - Centralized DR Configuration Block
A single “active region” control plane governed all workloads. Updating this block triggered instant failover, seamlessly redirecting executions to the designated DR region without manual reconfiguration. - Seamless Failback
Once the primary region was restored, workloads automatically reverted—ensuring continuity without operator action or data loss and maintaining consistency across the insurer’s modern data platform. - Reusable Modular Components
The logic behind Modak’s disaster recovery as a service was designed as reusable building blocks that could be easily adopted by new Prefect-based workloads, creating a scalable blueprint for enterprise-wide resilience. This also simplifies automating future backup extensions.
Impact
- 100% Workflow Continuity: Databricks, FileWatcher, Interlock, and Prefect workflows remained operational even during Azure regional outages.
- Zero Manual Intervention: Automated failover eliminated hours of manual reruns, reducing human error and operational overhead.
- Near-Zero Downtime: The disaster recovery automation on Azure occurred within seconds, preserving SLAs and business-critical processes.
- Scalable Resilience: The modular cloud backup and recovery solution now serves as a repeatable template for future workloads across the payer’s data estate.
- Operational Confidence: Continuous uptime strengthened trust among members, providers, and compliance teams.
Outcome
The automated DR framework transformed resilience from a reactive recovery exercise into an embedded enterprise capability. By enabling seamless continuity during regional disruptions, Modak eliminated single points of failure and delivered an architecture that scales with the business.
What emerged was a future-ready resilience model—automated, modular, and compliance-aligned, fit for a modern data platform—ensuring that critical data pipelines remain uninterrupted, no matter the disruption.
Modak’s data engineering services, end-to-end automated backup, and enterprise-wide disaster recovery automation on Azure became more than a safeguard. It became a strategic advantage, powering continuous operations and reinforcing the insurer’s commitment to reliability, trust, and uninterrupted care delivery.