evidence-focused PostgreSQL evidence collection
Managed Postgres audit
Managed Postgres audit for cloud-hosted PostgreSQL
Database Optimization Tool helps teams review managed PostgreSQL performance evidence when superuser access, extensions, and host visibility are limited by the provider.
Local collector runs from your environment
Human review before production decisions
No database changes applied by Database Optimization Tool
Can you audit managed Postgres without changing production?
Yes. Database Optimization Tool starts with evidence-focused PostgreSQL evidence and keeps every production change outside the collector. The report can identify query, index, vacuum, and table-pressure risks without applying DDL, parameter changes, or SQL rewrites.
Why managed environments need a different audit entry point
Supabase, Neon, AWS RDS, and Cloud SQL expose different roles, views, extension controls, and statistics retention. A managed Postgres audit has to name those limits first instead of pretending the database behaves like a self-hosted server.
What Database Optimization Tool can still read
The local collector can read catalog metadata, relation size, index usage, table churn, autovacuum indicators, bloat signals, and pg_stat_statements evidence when the extension is available to the audit role.
What the report will not pretend to know
The report does not invent host metrics, privileged settings, provider internals, or hidden cloud events that the role cannot read. It marks evidence gaps plainly and leaves rollout decisions with your team.
FAQ
Frequently asked questions
These answers describe the product focus: careful database evidence, clear findings, and team-approved next steps.
Is this a continuous monitoring tool?
No. Database Optimization Tool produces a point-in-time audit from collected evidence. It is not live monitoring, alerting, or an always-on agent.
Does this require superuser access?
No. The collector is designed for evidence-focused evidence first. Some privileged views may be unavailable, and the report marks those gaps instead of guessing.
Can I use it on Supabase or RDS?
Yes. Supabase, AWS RDS, Neon, and Cloud SQL are treated as managed environments with provider-specific access limits, not as self-hosted PostgreSQL servers.
Why send users to sample report and collector docs first?
The sample report shows how findings are framed, and the collector docs show what evidence is gathered before any upload or production decision.