MySQL and MariaDB monitoring without blind spots
A rising connection count, buffer-pool pressure or one inefficient statement can turn a responsive MySQL or MariaDB application into a queue. Mini DBA connects server resources, InnoDB behaviour and query activity so the investigation follows evidence rather than guesses.
Monitor operational health continuously, retain query and metric history, and move from an estate-level warning into the sessions, statements, locks or database behaviour responsible for it.
Problems you can solve faster
- Find connection saturation and excessive running threads.
- Diagnose InnoDB buffer-pool, log and lock pressure.
- Expose slow, scanning or error-prone statements.
- Catch deadlocks, disk temporary tables and replication risks.
MySQL and MariaDB monitoring features
- Sessions, statements, blocking, deadlocks and execution plans.
- InnoDB buffer pool, locks, logs and row-operation diagnostics.
- CPU, memory, database activity, I/O and connection capacity.
- Health checks for configuration, security and workload risks.
- Permissions and database-level investigation views.
History, alerts and AI-assisted analysis
- Metric and query history for incident review and trend comparison.
- Configurable alerts and alert history with notification options.
- AI Assistant for guided diagnosis using current monitoring context.
- MySQL and MariaDB MCP monitoring within the same multi-database investigation workflow.
- One browser Console across mixed database estates.
Monitor every database platform from one Console
SQL Server PostgreSQL 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.