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Medisanté Medical IoT Platform

Problem Space

Deliver an end-to-end device-to-cloud architecture for medical IoT devices. Handle intermittently connected devices via digital twins ("shadow devices"). Provide real-time access control with fine-grained role-based permissions. Refactor from monolith to event-driven microservices under ISO 62304 Class C requirements. Enable anomaly detection and device state drift monitoring via observability.

Architecture & Patterns

  • End-to-end device-to-cloud architecture with embedded Java + serverless AWS backend
  • Digital twins ("shadow devices") for intermittently connected devices
  • Real-time access control with fine-grained role-based permissions
  • Event-driven microservices refactor from monolith, ISO 62304 Class C
  • Observability via AWS CloudWatch for anomaly detection and device state drift

Tools & Stack

Embedded Java, AWS Lambda, DynamoDB, API Gateway, S3, CloudWatch, JavaScript, MQTT

Business Outcomes

  • Successful monolith-to-microservices refactor under ISO 62304 Class C compliance
  • Real-time access control with fine-grained role-based permissions
  • Anomaly detection and device state drift monitoring via AWS CloudWatch observability

Regulated / Domain Context

ISO 62304 Class C: highest safety class for medical device software