Engineering is the product behind the product.
The visible interface is only one layer. Behind every operational system are architecture decisions around data, identity, APIs, observability, infrastructure, security, deployment, performance, failure recovery, and change management.
Architecture model
Experience Layer
Web, mobile, clinical interfaces, internal tools.
Application Layer
Business logic, workflows, orchestration, validation, permissions.
Service Layer
APIs, asynchronous services, notification systems, integration services.
Data Layer
Relational databases, object storage, cache, search, event systems.
Intelligence Layer
Machine learning, inference services, RAG, multimodal pipelines, model monitoring.
Infrastructure Layer
Containers, virtual machines, on-premise services, cloud, edge, network controls.
Governance Layer
Security, observability, auditing, privacy, retention, versioning, change management.
Reliability
We design for failure. Systems should support:
- Health checks
- Structured logs
- Metrics
- Alerting
- Retry policies
- Queue-based workloads
- Circuit breakers where appropriate
- Backups
- Disaster recovery
- Operational runbooks
- Versioned deployments
Documentation
Engineering knowledge should not remain only in source code or individual memory.
- Architecture documents
- API documentation
- ADRs
- Deployment guides
- Test plans
- Incident records
- Data policies
- Security documentation
- Change logs