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MySQL integration

MySQL integration

The MySQL integration provides database performance monitoring for MySQL instances, whether standalone, replicated, or clustered.

What it’s forMonitoring query performance, connections, replication, and InnoDB health
Who uses itDBAs, backend developers, DevOps teams managing MySQL databases
Under the hoodOne of the most mature integrations, refined over years of real-world use

Metrics collected

  • Queries — QPS, slow queries, query types
  • Connections — Active, max, threads
  • InnoDB — Buffer pool, I/O, row operations
  • Replication — Lag, status, errors

Trade-offs

Best for: MySQL databases—standalone, replicated, or clustered

ProsCons
Pre-built dashboards: overview, replication, InnoDBRequires monitoring user with GRANTs
Pre-built alerts: connections, replication lagVersion-specific metric differences
Query performance and slow query visibility
InnoDB buffer pool and I/O metrics
Mature, battle-tested integration

Learning path

Deploy this integration step by step.

MySQL integration

Script

MySQL is everywhere, and the MySQL integration gives you the visibility to keep it healthy. Query metrics show you queries per second, slow query counts, and breakdowns by type (SELECT, INSERT, UPDATE, DELETE). This tells you what your database is actually doing.

Connection metrics track active connections versus your configured maximum. Running out of connections is a classic MySQL failure mode, and you want to see it coming.

InnoDB metrics are where performance analysis lives. The buffer pool hit ratio is critical. If it’s low, your working set doesn’t fit in memory and performance suffers. I/O metrics, row operations, lock waits help you understand InnoDB behavior.

For replicated setups, you get replication lag and status. Catching replication problems early prevents nasty surprises during failovers. Setup requires a monitoring user with specific permissions. The documentation gives you the exact GRANT statements to run.

This is one of the most mature integrations, refined over years of real-world MySQL monitoring.

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