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

The integration collects the metric groups that matter most for PostgreSQL:

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

What to know

Prebuilt dashboards: overview, replication, vacuum
Prebuilt alerts: connections, replication, vacuum
Vacuum and dead tuple monitoring (MVCC)
Buffer cache hit ratio insights
Query waiting and lock detection

Set it up

Open this learning path in your Grafana Cloud stack for a fully interactive experience, or read through it to understand the process first.

Learning path

Monitor PostgreSQL with Grafana Alloy

Welcome to the Grafana learning path that shows you how to monitor PostgreSQL databases with Grafana Alloy and use pre-built dashboards and alerts in Grafana Cloud.

18 min

Beginner

Docs & blog posts

Open in Grafana Cloud

Complete this learning path directly in your Grafana Cloud stack with an interactive learning experience.

Open in Grafana Cloud

View on website

PostgreSQL has its own concerns, and the integration is built around them. Query metrics include waiting queries, which usually point to lock contention, and connection tracking warns you before you hit your max_connections limit.

The buffer cache hit ratio tells you whether shared_buffers is large enough, and replication metrics cover lag and slot status for failover readiness.

The PostgreSQL-specific concern that trips people up is vacuum. Its MVCC design accumulates dead tuples, so the dashboards track dead tuples and autovacuum to help you catch bloat before it hurts performance.

The integration surfaces all of this without requiring deep database internals expertise.

PostgreSQL integration