Scalability Limitations: On-prem infrastructure could not handle 22,000+ daily uploads from IoT devices, patient portals, and business data sources like Salesforce and SAP, leading to frequent slowdowns.
Data Flow Management: Efficiently processing terabytes of heterogeneous data while maintaining throughput and concurrency (up to 1,000 concurrent Lambda executions) was difficult.
Interoperability Issues: Multiple data sources like medical devices, patient engagement apps, and enterprise systems
Compliance & Security: Required strict privacy controls to protect PII and PHI while ensuring compliance with healthcare regulations.
Zimetrics designed and executed a phased migration and modernization strategy to transition the client’s hypercare platform from its legacy on-premises environment to a scalable AWS Cloud infrastructure.
Migration Strategy
AWS Cloud Infrastructure Setup
Refactored backend services to leverage AWS-native components:
Modernization of Workloads
Decomposed monolithic applications into containerized microservices:
Data Observability & Insights
Tech Stack:
Zimetrics engineers began with a complete teardown of the existing device — from PCB layout to sensor calibration behavior. Using schematic cross-mapping and dependency tracing, the team identified more than 60 EOL or NRND components affecting sensing, BLE communication, and power management circuits. Each dependency was categorized by form-fit-function risk to ensure downstream design decisions didn’t compromise FDA 510(k) clearance
Zimetrics engineers began with a complete teardown of the existing device — from PCB layout to sensor calibration behavior. Using schematic cross-mapping and dependency tracing, the team identified more than 60 EOL or NRND components affecting sensing, BLE communication, and power management circuits. Each dependency was categorized by form-fit-function risk to ensure downstream design decisions didn’t compromise FDA 510(k) clearance