A cloud architecture built for clinical workloads
Our medical platform is designed to scale from a single clinic to multi-site hospital groups on managed cloud services — with the security, recovery and release discipline healthcare data demands.
Cloud-native by default
Every new deployment runs on managed cloud infrastructure — containerised services behind a managed load balancer, auto-scaling by demand, with no clinic-room servers to maintain.
Multi-tenant platform
One codebase serves every facility. Tenant isolation is enforced at the data layer with per-tenant keys and row-level scoping, so a small clinic and a large hospital share the same release train.
Managed data services
Relational store for clinical records with automated backups and point-in-time recovery, object storage for imaging and documents, and a cache layer for read-heavy dashboards.
Security engineering
TLS in transit, encryption at rest, secrets held in a managed secret store, least-privilege IAM roles per service, and audit logging on clinical data access.
CI/CD and infrastructure as code
Git-based pipelines run tests, build images and promote through staging to production. Infrastructure is declared as code so environments can be rebuilt reproducibly.
Observability and reliability
Centralised logs, metrics and alerting with defined SLOs, plus scheduled restore drills and a documented disaster-recovery runbook per environment.
Reference stack
- CDN + WAF
- Managed TLS certificates
- DNS with health checks
- Containerised services
- Serverless functions for async jobs
- Auto-scaling groups
- Managed PostgreSQL
- Object storage for DICOM/PDF
- Managed cache
- Queue for lab events
- IaC provisioning
- CI/CD pipelines
- Centralised logging & metrics
- Automated backups
Exact managed services vary per customer deployment and data-residency requirement. This page describes architecture patterns we operate; it is not a certification or an independent audit result.
Engineering practices
- Environment separation: development, staging and production are fully isolated accounts/projects with no shared credentials.
- Access to production data is role-based, logged, and limited to named engineers on clinical support duty.
- Backups are automated daily with tested restores; recovery objectives are agreed per customer contract.
- Third-party dependencies are pinned and scanned; upgrades ship through the same pipeline as product code.