evidence-focused PostgreSQL evidence
Query audit
Postgres query performance audit for evidence-first review
Database Optimization Tool reviews PostgreSQL query performance from evidence-focused evidence, ranks costly statements, and keeps AI-assisted notes advisory until metrics support the finding.
pg_stat_statements workload ranking
Evidence-gated findings
AI-assisted advisory notes only
Query workload evidence
The audit uses PostgreSQL statistics such as calls, total time, mean time, rows, shared block reads, and temp writes to separate repeated workload cost from isolated latency anecdotes.
Performance finding gates
A query performance finding must connect to collected evidence before it appears as an official recommendation. Unsupported AI-assisted observations remain advisory notes for human review.
EXPLAIN before production changes
The report points engineers toward EXPLAIN review, row-estimate checks, scan and join inspection, and staging validation before SQL or index changes are considered safe.
Team-controlled rollout
Database Optimization Tool does not rewrite SQL, change PostgreSQL settings, create indexes, or monitor queries in real time. It produces review material for the team that owns the database.
FAQ
Frequently asked questions
These answers describe the product focus: careful database evidence, clear findings, and team-approved next steps.
Is this a focused on PostgreSQL evidence query performance audit?
Yes. This page describes PostgreSQL query review using evidence-focused PostgreSQL evidence and follows the PostgreSQL audit boundary.
Does Database Optimization Tool fix slow queries automatically?
No. It ranks likely query performance problems and suggests diagnostics. SQL edits, index changes, and rollout decisions stay with your team.
What happens to AI-assisted suggestions without evidence?
They remain advisory notes. Evidence Gate prevents unsupported AI claims from becoming official findings unless the collected PostgreSQL metrics support them.
Do I need pg_stat_statements for useful results?
pg_stat_statements is strongly recommended because it gives normalized query-level workload evidence. Without it, the audit has less detail and relies more on surrounding table and index signals.