Cloud
Building Cloud-Native Backend Services for a Healthcare Platform
A healthcare platform case study focused on Cloud Run deployment, service isolation, scheduled workloads, and secure API design.
A healthcare platform case study focused on Cloud Run deployment, service isolation, scheduled workloads, and secure API design.
Overview
I worked on HealthPro ERP, a healthcare-related platform connected to EMR and supply-chain or ERP workflows.
Healthcare systems require heightened consideration for privacy, access control, auditability, and protection of sensitive information. This case study avoids unsupported certification claims.
Problem
The backend needed to support reliable API workflows, containerized deployment, scheduled jobs, and protected communication patterns without exposing sensitive internal systems broadly.
My Role
I contributed backend REST service work with Python, PostgreSQL, Google Cloud Platform, Cloud Run, VPC, Cloud Scheduler, and Docker.
System Architecture
The conceptual architecture used clients communicating with backend APIs, containerized Cloud Run services, PostgreSQL or internal systems, and scheduled services for recurring workloads.
VPC boundaries supported protected internal communication where appropriate.
Engineering Decisions
The design emphasized service isolation, secure backend interfaces, privacy-aware data handling, reliable scheduled execution, and operational clarity for sensitive workflows.
Outcome
The work supported cloud-native backend services for healthcare and ERP workflows with attention to reliability, API design, and secure operational boundaries.