Executive summary
Plain-language priority list for the business workflow affected by database pressure.
Report model
A PostgreSQL optimization report should separate evidence, risk, and action.
Use a sample report model to set expectations before a collector run: what signals are reviewed, what the report should explain, and what still requires human approval.
Expected report sections.
A good audit report makes the next decision easier without pretending that SQL changes are automatic or risk-free.
Slow query evidence
Ranked statements by total time, mean time, calls, disk reads, temp writes, and visible business path.
Index review
Missing index candidates, unused index signals, duplicate-looking indexes, and cautions before creation or removal.
Table health
Relation size, dead tuple signals, bloat risk, vacuum and analyze timestamps, and growth patterns.
Access review
Audit role posture, overly broad access signals, extension assumptions, and credential removal reminders.
Next steps
Review order, staging checks, EXPLAIN work, rollout risk, rollback notes, and owner assignment.
Sample report boundary
This category site describes what a PostgreSQL optimization report should contain. Hosted report generation, account flows, pricing, and transaction details stay with the specialist PostgreSQL service.