PostgreSQL monitoring for the problems users actually feel
Slow PostgreSQL applications often begin with a small operational change: a long transaction prevents cleanup, a query starts scanning, connections accumulate or storage latency rises. Mini DBA brings sessions, queries, waits, vacuum health and host pressure into one investigation path.
Use the browser Console to monitor production PostgreSQL continuously, retain the performance trail behind an incident and compare current behaviour with recent history instead of relying on a snapshot taken after the problem has gone.
Problems you can solve faster
- Find long transactions, blocking sessions and lock contention.
- Spot vacuum debt, dead tuples and wraparound risk.
- Investigate slow queries, I/O pressure and cache effectiveness.
- Track WAL, connection capacity and unsafe setting changes.
PostgreSQL monitoring features
- Sessions, queries, locks, deadlocks and wait analysis.
- Database activity, indexes, memory, I/O and host resource views.
- Vacuum, dead tuple, WAL and configuration health checks.
- Execution-plan inspection and query performance tuning evidence.
- Log, permission and database-level diagnostic views.
History, alerts and AI-assisted analysis
- Metric and query history that preserves what happened before an incident.
- Configurable alerts and alert history for performance and availability risks.
- AI Assistant for guided analysis using PostgreSQL monitoring context.
- PostgreSQL MCP monitoring within the same multi-database investigation workflow.
- Multi-site monitoring through optional additional Engines for advanced estates.
Monitor every database platform from one Console
SQL Server MySQL and MariaDB Oracle Azure SQL
Explore cross-platform database monitoring across the complete mixed estate
Investigate the database problem, not just the platform
Use a problem-led workflow across SQL Server, PostgreSQL, MySQL, MariaDB, Oracle and Azure SQL.
Blocking and lock contention
Find the lead blocker and understand every waiting session.
Investigate blocking →Deadlock analysis
Preserve participants, statements and resources after the event.
Analyse deadlocks →Query performance
Prioritise expensive workload and inspect execution plans.
Analyse queries →Performance history
Reconstruct incidents after the live symptoms have gone.
Explore history →Install Mini DBA on Windows, a suitable Linux VM or a supported container platform, connect an Engine and start collecting the evidence behind performance incidents.