Building and supporting resilient enterprise systems

The context

Large organizations run technology at a scale where small decisions compound. A slow deployment pipeline costs thousands of engineer-hours. A missing alert becomes a customer-facing outage. I spent years inside environments like this, learning how technology is built, operated, and kept trustworthy when a lot depends on it.

What the work involved

• Building and supporting production APIs and services used across the business
• Cloud platform work, infrastructure as code, and CI/CD pipelines
• Observability, incident response, and post-incident improvement
• Developer productivity: making the right thing the easy thing for other engineers

Why it matters now

Most of my consulting and advisory work draws on this directly. Knowing how production systems fail is what makes it possible to design prototypes that can become real products, and to tell an organization honestly what it will take to run something.

What it taught me

Reliability is a product feature. People only trust technology that shows up every time they need it.