Firebase Audit

The Firestore Performance Problem

Most Firebase projects start fast and accumulate problems quietly. A collection structure that worked for 100 users generates thousands of unnecessary reads at 10,000. Security rules copied from a tutorial leave entire collections exposed. Cloud Functions that fire on every write burn through your billing budget.

This audit traces your actual data access patterns and identifies where the architecture is working against you — not just where it's slow today, but where it will break next.

Firebase Cost Optimization

Firestore performance issues rarely come from Firestore itself. They come from data models designed around how the app looks, not how it queries. Collection structure, composite indexes, listener efficiency, Cloud Functions triggers — every critical read and write path gets reviewed.

Firebase billing is opaque by design. This audit connects reads, writes, and function invocations to specific application behavior. Common wins: restructuring a chat feature cut one client's read count by 80%. Moving computed values out of Cloud Functions eliminated thousands of daily invocations.

Security Rules

Firebase security rules are your server-side access control. If they're wrong, it doesn't matter how good your client code is — the data is exposed. Rule coverage for every collection, authentication flow integrity, write validation, and Admin SDK usage in Cloud Functions.