Slow query triage
PostgreSQL performance review
Find the database issues worth your next engineering hour
For small teams that need practical answers when pages slow down, jobs run long, or database bills creep up. Start with the sample or schema builder, then use live review when you already have database evidence to inspect.
Index and bloat clues
Evidence before changes
What this helps you decide
The report points to likely causes behind slow pages, expensive jobs, table growth, and risky index decisions. It is built to help a founder, product owner, or engineer decide what deserves inspection first.
Where live review fits
Live review is the next step after the database exists. The collector turns your environment into audit.json, then the report ranks evidence from queries, tables, indexes, and maintenance signals.
Evidence-backed findings
Findings tie back to PostgreSQL evidence such as query timing, table size, scan counts, temp blocks, or maintenance history. Claims without supporting data stay out of the official report.
Where AI review fits
AI review can summarize likely causes, follow-up checks, and safer experiment paths. It adds speed to the review, while the finding still needs database evidence behind it.
FAQ
Frequently asked questions
These answers describe the product focus: careful database evidence, clear findings, and team-approved next steps.
What kind of database is this review built for?
It is built around PostgreSQL evidence, including query timing, table size, scan counts, temp blocks, and maintenance history.
When should I use the collector?
Use it when you already have a production or staging database and want the report to review your own audit.json instead of the sample.
Who makes production changes?
Your team does. The report gives evidence, likely causes, and next checks; engineers still own EXPLAIN review, staging tests, and rollout decisions.
Is this the same as monitoring?
No. It is a focused performance review built from collected evidence, useful when you want a ranked action list instead of another dashboard.