01 / Pattern
Full-stack production setup
App, database, queue, cache, observability. Wired together properly on AWS or Cloudflare, with infrastructure as code so it's reproducible.
All services
Infrastructure
Cloud Infrastructure
The AWS and Cloudflare backbone that keeps it all running. Observable, secure, and scalable.
The shape
The pain
Your app works on the developer laptop and breaks in production. Logs are scattered. Nobody knows what's running where, what it costs, or how to fix it at 2am.
Approach
Production background. Operating ML systems across 50+ AWS regions taught us that infrastructure isn't about clever architecture. It's about boring runbooks, real observability, and never being surprised.
Initiatives
Concrete things we've built or are building, against this kind of pain.
02 / Pattern
Observability from day one
Prometheus metrics, structured logs, dashboards, on-call alerting. You hear about problems before users do.
03 / Pattern
Cost & scale audits
Find what's silently expensive. Right-size, consolidate, set budget alarms. No surprises on the monthly bill.
Roadmap
How an engagement typically unfolds. Not rigid, but the shape repeats.
Phase 01
What's running, where, and what does it actually cost? Where are the silent failures?
Built with
- AWS
- Cloudflare
- Docker
- Prometheus
- Grafana
- Terraform