Backend architecture. API design. Deployment that holds.
Schema design matters. Error handling matters. The queries that run at 40ms matter more than the screenshot.
We show the architecture, not just the result.
WEB D builds full-stack systems for mid-market companies and growth-stage startups. Every technical decision—what we chose, what we tested, what it costs at scale—is documented.
Real projects. Documented trade-offs.
High-throughput order pipeline on Postgres
Replaced a monolithic checkout with an async job queue and read replicas. Query latency dropped from 380ms to 42ms under peak load. Caching strategy and schema design documented in full.
Multi-tenant data isolation and API resilience
Row-level security enforced at the database layer, not the application layer. Async job architecture handles webhook retries without manual intervention. Deployment runbook included.
Systems engineered for scale, not for demos
Backend architecture
API design and integration
Deployment and operations
Database schema design, API layer construction, and service boundaries drawn around your actual load patterns—not a framework default.
REST and event-driven APIs built for resilience: rate limiting, retry logic, versioning strategy, and error contract documentation included by default.
Infrastructure provisioned as code, CI/CD pipelines tested before they're needed, and runbooks written for the incidents that happen when no one is watching.
Send us the hard problem
Infrastructure provisioned as code, CI/CD pipelines tested before they're needed, and runbooks written for the incidents that happen when no one is watching.
Project briefs accepted by email. Every response includes a written architecture assessment—what the system needs, where the risk is, what we'd test first.