Firebase Consulting

From prototype-grade to production-grade.

Security rules, Firestore data model, Functions, and the bill — reviewed line by line, returned as a prioritized findings report.

Firestore schemas shaped by real query patterns, security rules shipped with test suites, Gen 2 Cloud Functions, App Check, and Auth flows.

Read/write amplification found and fixed, denormalization decided pattern by pattern, budget alerting that catches regressions in days.

Hot paths moved to Cloud Run, Cloud SQL, or BigQuery — or a full migration off Firebase — as incremental, verified cutovers.

Most Firebase incidents are security-rules mistakes. Every ruleset we touch gets an emulator test suite that proves the denials, running in CI.

We map the invoice to the behaviors that generate it. Recommendations come with measured before/after numbers, not adjectives.

Firebase where it fits, purpose-built infrastructure where it does not. The honest answer is usually a boundary, not a rewrite.

Tell us where it hurts — the rules, the bill, or the scale — and we will tell you what we would look at first.