PostgreSQL integration

The PostgreSQL integration provides database performance monitoring designed around PostgreSQL-specific concerns like vacuum and MVCC.


What it’s for	Monitoring queries, connections, replication, and vacuum/bloat health
Who uses it	DBAs, backend developers, DevOps teams managing PostgreSQL databases
Under the hood	Surfaces PostgreSQL internals without requiring deep database expertise

Metrics collected

Queries — Active, waiting, duration
Connections — Used, available, by state
Transactions — Commits, rollbacks, conflicts
Replication — Lag, slot status
Vacuum — Dead tuples, autovacuum

Trade-offs

Best for: PostgreSQL databases, especially with replication or high transaction volumes

Pros	Cons
Pre-built dashboards: overview, replication, vacuum	Requires monitoring user setup
Pre-built alerts: connections, replication, vacuum	Some metrics need pg_stat extensions
Vacuum and dead tuple monitoring (MVCC)
Buffer cache hit ratio insights
Query waiting and lock detection

Learning path

Deploy this integration step by step.

PostgreSQL integration

PostgreSQL has its own personality, and the integration is designed around PostgreSQL-specific concerns. Query metrics show active queries and (crucially) waiting queries. If you have queries waiting, something’s blocking them, usually lock contention.

Connection tracking against your max_connections limit prevents the surprise of connection exhaustion during traffic spikes. Transaction metrics show commits versus rollbacks. A high rollback rate suggests application problems. The buffer cache hit ratio tells you if shared_buffers is adequately sized. Low hit ratios mean PostgreSQL is reading from disk more than it should.

Replication monitoring covers lag and replication slot status, essential for failover readiness.

And here’s something PostgreSQL-specific that trips people up: vacuum monitoring. PostgreSQL’s MVCC architecture accumulates dead tuples that need to be cleaned up. The dashboards show dead tuple counts and autovacuum activity, helping you catch bloat before it tanks performance.

If you’re new to PostgreSQL, the integration surfaces what matters without requiring deep database internals expertise.

PostgreSQL integration