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Supabase in Production: Patterns That Scale

Jago ·
Supabase in Production: Patterns That Scale

Supabase gets you from zero to prototype faster than anything else. Auth, database, storage, realtime — all in one platform. But taking it to production requires patterns that most tutorials skip.

Row Level Security Is Non-Negotiable

Every table gets RLS. No exceptions. Not “we’ll add it later.” Not “this table is read-only anyway.” Every table, from day one. The performance overhead is negligible. The security overhead of forgetting is catastrophic.

Materialized Views for Analytics

Real-time queries against raw tables work until they don’t. For any analytics dashboard or reporting feature, pre-compute with materialized views and refresh on a schedule. Your P95 will thank you.

Edge Functions for Business Logic

Keep business logic out of the database. RLS handles authorization. Edge Functions handle validation, transformation, and orchestration. This separation makes testing possible and debugging human-friendly.

The Pattern We Use

Every Full Stack Evolved project follows the same Supabase architecture: RLS on every table, Edge Functions for business logic, materialized views for analytics, and Realtime only for features that genuinely need it (not as a replacement for polling).