Brett Porter
I build platforms that help engineers move faster.
Platforms, not job entries.
Each system below is a decision log — the problem, the architecture, the tradeoffs I made, the way it first broke, and what it taught me. Open one to read the case study.
Multi-Cluster Observability
Unified metrics, logs & traces across Kubernetes fleets for the largest public higher-education system in the United States — 116 colleges, ~2M students — policy-governed and self-healing.
Step inside a real platform.
This is WhizAI — the AI infrastructure platform I built: an async workflow engine, a multi-provider model router with circuit breakers, and self-hosted vision, all on Kubernetes. Click any node to inspect it — open the cluster for the live run timeline and logs, or a service to watch requests flow.
Fifteen years, told in eras.
Not a list of years — a progression of how the work changed. From milliseconds on air, to the cloud, to fleets, to platforms as products, to making AI economical. Open an era to step into it.
Two tools, running live.
Not screenshots. Ask Brett answers architecture questions in real time, grounded in the systems above. The Architecture Critic reviews your Terraform or Kubernetes YAML like Brett would in a design review.
I'm Brett — or the part of me that reviews architecture. Ask how I'd build something. I'll give you the decision, the tradeoff, and the way it usually breaks.
The best architectures emerge from solving real problems at scale — not from diagrams on a whiteboard.
— Brett PorterDesigning your platform layer or AI infrastructure?
Platform architect, 15+ years. Broadcast systems → cloud → Kubernetes → platform engineering → AI infrastructure. I build the layer engineers build on.
- Wunderkind — Platform Engineering
- Code & Theory — CNN Datacloud / MagicWall
- CCCTC — Multi-cluster Observability
- Independent — Mean Scoop · MushAttention