agency-database-optimizer

Schema design optimization for PostgreSQL ensures data integrity and speed by applying best practices for indexing, normalization, and constraint management. This prevents application latency during high traffic by maintaining an efficient relational database structure.

Yes, resolving N+1 query patterns in Supabase is supported by analyzing query execution plans to identify redundant database calls. The skill refactors inefficient JOINs and implements connection pooling strategies to reduce application latency under high traffic.

Zero-downtime migration planning for high traffic applications is achieved through expert schema design and careful execution optimization. It applies relational database internals knowledge to ensure performance tuning and data integrity are maintained during the migration process.

Auditing existing indexes to fix application latency involves analyzing current schema definitions and query execution plans to identify missing or inefficient indexes. The skill then suggests an optimized indexing strategy to resolve performance bottlenecks and improve scaling.