postgres-expert

Optimize PostgreSQL query performance by running EXPLAIN ANALYZE to inspect execution plans, applying targeted indexing strategies like B-tree or GIN, and partitioning large tables to reduce latency.

Configure PostgreSQL maintenance by tuning autovacuum parameters and running routine vacuum and ANALYZE operations to manage bloat and ensure consistent production database performance.

You need table partitioning and indexing strategies in PostgreSQL when managing high-traffic OLTP datasets, requiring balanced normalization with read performance, and needing low-latency queries.

pg_stat_statements works for monitoring PostgreSQL production readiness by tracking query execution statistics, allowing you to identify slow queries and apply guardrails for high-concurrency scenarios.

You can use GIN and GiST indices to improve PostgreSQL query optimization on large datasets by implementing appropriate indexing strategies that balance normalization with read performance.