supabase-postgres-best-practices

To optimize PostgreSQL query performance in Supabase, apply structured best practices for indexing, schema design, and query rewriting to reduce latency and improve throughput across workloads.

Configuring Row-Level Security (RLS) effectively requires following security best practices that minimize query overhead. This skill provides prioritized guidance on implementing RLS policies in Supabase while maintaining query performance and throughput.

Database connection management in Supabase Postgres involves configuring connection pooling to handle concurrent workloads efficiently. This skill offers rule-based guidance on connection management and concurrency strategies to prevent bottlenecks.

Yes, you can use this skill to partition tables and improve Supabase query throughput. It covers schema design, data partitioning, and data access patterns to optimize database configurations for different workloads.

Yes, this skill provides examples for monitoring and diagnosing Postgres latency. It includes a dedicated monitoring and diagnostics category with references to Postgres and Supabase documentation to identify performance issues.