Clean Architecture Backend
Layered APIs with thin HTTP surfaces, application use cases, domain invariants, infrastructure adapters, and persistence boundaries.
.NET backend architecture
These patterns summarize how I structure backend systems when projects need maintainable APIs, predictable integrations, observable async processing, and deployment paths that can be operated after release.
Pattern atlas
Layered APIs with thin HTTP surfaces, application use cases, domain invariants, infrastructure adapters, and persistence boundaries.
Command and query requests pass through validation, authorization, logging, performance checks, handlers, domain events, and persistence.
Stable consumer contracts over messy upstream systems, with tenant-aware gateways, cached mappings, validation, and forensic logging.
Queue-backed AI processing with structured outputs, worker isolation, lifecycle state, and real-time user feedback.
Project proof
Web UI actions mapped to local hardware capabilities without unsafe browser plugins or server roundtrips.
Deployment and validation flow across Azure App Service, Docker, Kubernetes/OpenShift, Linux, Nginx, and CI/CD.
The same architecture thinking appears in healthcare appointment and e-result middleware, multi-tenant Clean Architecture SaaS, OpenAI-backed nutrition analysis, banking and OTP integrations, kiosk/hardware workflows, and containerized cloud delivery.