Three problem spaces. Three different stacks.
E-commerce throughput, multi-tenant SaaS isolation, and internal dashboards—each build starts from the schema, not the mockup. Architecture decisions are documented, not summarized.
Stack choices with reasons attached
High-throughput order pipeline
Multi-tenant data isolation at scale
Ops reporting with sub-second query response
Postgres with partitioned order tables, Redis write-through cache, and a queue-backed fulfillment worker. Peak checkout at 4,200 concurrent sessions without a queue backlog.
Row-level security in Postgres, async job processing via BullMQ, and a circuit-breaker pattern on every third-party API call. Zero cross-tenant data leaks across 18 months of operation.
Materialized views refreshed on a 60-second schedule, role-based access per department, and a read replica routed exclusively to the dashboard. Query p95 under 80ms across 2M rows.
Stack: Node.js · Postgres · Redis · Docker · AWS ECS
Stack: Next.js · Postgres RLS · BullMQ · Vercel · Stripe
Stack: React · Postgres · Metabase · Railway · Nginx
99.97%
< 80ms
Zero-downtime
Deployment strategy applied to every project. Blue-green or rolling deploys depending on traffic shape—documented before the first line ships.
Uptime across all production systems in the past 24 months. Measured at the load balancer, not the health-check endpoint.
p95 API response time across client projects. Achieved through schema design and query planning, not hardware provisioning.
Bring a hard problem. We'll document the trade-offs.
Send a project brief. You'll get back a written architecture assessment—what we'd build, what we'd avoid, and why.