Large-Scale App Architecture After MVP — From 1k to 1M Users
When to refactor, what breaks first at scale, and infrastructure decisions that don't require rewriting from scratch.
Table of Contents
Large scale app architecture is the wrong search before you have users. After PMF, these are the failure modes we see: database connection limits, N+1 queries, unbounded file storage, chat websockets on the same server as API, and missing cache layers. Fix in that order.
What Breaks First (In Order)
1) Postgres connections — add PgBouncer. 2) Slow queries — indexes and EXPLAIN ANALYZE. 3) Media bandwidth — S3 + CloudFront. 4) Background jobs blocking API — move to queue (Inngest, BullMQ). 5) Real-time at scale — dedicated websocket service.
Don't Rewrite — Strangle
Extract hot paths into services while monolith handles CRUD. Most "rewrite for scale" projects fail because they pause feature delivery for 9 months.
Observability Before Scale
Datadog, Sentry, and query performance dashboards cost less than one outage during a Product Hunt spike. Instrument before 10k users, not after.
From MVP Agency to Scale Partner
BuildMVPFast ships MVPs in 21 days; continuous support retainers handle v1.1–v3 iteration. Book /booking for MVP; ask about post-launch support for scale roadmap.
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