PostgreSQL monitoring in Mini DBA


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Mini DBA PostgreSQL monitoring helps DBAs review activity, databases, queries, waits, memory, I/O, indexes, permissions, logs, health checks, alerts, deadlocks, settings, and performance tuning for PostgreSQL servers.

Mini DBA PostgreSQL overview

PostgreSQL pages

What PostgreSQL monitoring helps answer

PostgreSQL monitoring in Mini DBA helps answer:

  • Which sessions are active, waiting, blocked, or long-running?
  • Which queries consume the most time or resources?
  • Have sampled queries regressed, changed plan, or correlated with nearby schema/config changes?
  • Are waits pointing to locks, I/O, CPU, client behavior, or other PostgreSQL wait events?
  • Are indexes helping the workload, or are table scans and index usage patterns a concern?
  • Are table-maintenance, dead tuple, bloat, or autovacuum signals affecting performance?
  • Are replication slots, standbys, WAL retention, or extension-specific checks showing operational risk?
  • Are PostgreSQL settings aligned with the workload?
  • Are server logs showing deadlocks, slow statements, or operational errors?
  • Is host CPU, memory, or disk I/O contributing to poor PostgreSQL performance?

PostgreSQL visibility depends heavily on roles and extensions. pg_stat_statements, pgstattuple, file_fdw, monitoring roles, and host OS login can all improve what Mini DBA can explain. TimescaleDB, PostGIS, and pgvector checks appear automatically when those extensions are installed and readable. Mini DBA reports cache-hit ratios and configured memory capacity, but does not display live shared-buffer occupancy or require pg_buffercache.

Common investigation flow

  1. Start with Activity for current sessions and blocking.
  2. Use Queries for expensive statements, query history, regressions, plan history, and nearby changes.
  3. Use PostgreSQL Execution Plans to review plan diagrams and AI plan analysis.
  4. Use Waits, I/O, and Memory for resource bottlenecks.
  5. Use Indexes and Performance Tune for tuning and table maintenance.
  6. Use Replication, Extensions, Health Checks, and Server Log for operational risk.

Live and historical overview data

The PostgreSQL overview charts include the Mini DBA Time Range selector. Use Live for current push updates, or switch to Last Hour, Last 12 Hours, Last Day, Last Week, or Custom to review collected history. Mini DBA loads and caches the selected historical dataset for the current console session and server context, so moving between overview charts, activity, waits, and other historical views stays quick after the range has loaded. Use Back to Live to resume live updates, then select another historical range when you need a different point-in-time view.

Permissions, extensions, and logs

For production monitoring, create a dedicated PostgreSQL monitoring user with roles such as pg_monitor, pg_read_all_settings, pg_read_all_stats, pg_stat_scan_tables, and pg_read_server_files where your policy permits. Enable pg_stat_statements for query statistics and optionally pgstattuple for deeper table-maintenance estimates. Configure PostgreSQL logging and file_fdw if you want Mini DBA to read PostgreSQL log events.

The PostgreSQL connection and permissions page includes SQL examples and setup notes. Use it before adding production PostgreSQL servers to Mini DBA.

PostgreSQL monitoring FAQ

Does Mini DBA require PostgreSQL superuser?

No. Superuser is useful for testing, but routine monitoring should use narrower PostgreSQL roles and extensions.

Why is pg_stat_statements important?

It records query execution statistics. Without it, PostgreSQL query monitoring and tuning evidence is much weaker.

Can Mini DBA read PostgreSQL log files?

Yes, when PostgreSQL logging is configured and Mini DBA has the required server file access and file_fdw setup.

Why configure host OS login?

Host OS login adds Linux or Windows metrics such as CPU, memory, drive capacity, and disk I/O. These metrics help distinguish PostgreSQL query problems from host resource problems.

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