Why most SaaS products fail before they scale
The systems that break under growth almost always carry the same fingerprints. Here's what we look for in an architecture review.
Long-form notes from our engineering practice. No hot takes — just what we've learned shipping real systems.
The systems that break under growth almost always carry the same fingerprints. Here's what we look for in an architecture review.
There's a small set of decisions in an MVP that compound. Get them right and v2 stays cheap; get them wrong and the rewrite finds you.
Bad architecture rarely shows up as one big problem. It shows up as a thousand small ones — every sprint, for years.
Trust isn't a tone of voice. It's a function of evals, latency, transparency and a sensible product surface.
K8s is great — when you need it. The cost of running it before you do is usually paid in engineering hours, not dollars.
Good on-call is a design problem. We talk about runbooks, alerts that mean something, and the cost of pager fatigue.