The Architecture of Scale

When I joined Microsoft, I thought I understood scale. I didn't.

The Numbers That Break Your Brain

At enterprise scale, everything you thought you knew becomes wrong.

  • 1 million requests per second
  • 99.99% uptime required
  • Global distribution across 50+ regions
  • Teams of hundreds working on the same codebase
  • The rules change completely.

    Principles That Actually Matter

    1. Everything Fails

    Not "might fail." Will fail. Design for it.

    Every service, every database, every network call—assume it's going to break at the worst possible moment.

    2. Simple Beats Clever

    That elegant algorithm you're proud of? It's a liability.

    At scale, boring is beautiful. Boring is maintainable. Boring is debuggable at 3 AM when production is on fire.

    3. Measure Everything

    You can't fix what you can't see.

    Instrument aggressively. Log generously. Build dashboards before you think you need them.

    The Meta-Lesson

    Scale isn't about technology. It's about systems thinking.

    The best engineers I worked with weren't the smartest coders. They were the ones who could see the whole system, anticipate failure modes, and design for the reality of production.