PG Monitoring

PostgreSQL monitoring that finds problems before they affect users

Monitor slow queries, health, capacity, autovacuum, bloat, and replication with operational context and actionable recommendations.

Query and regression visibility

Data organized to reduce the time between an operational signal and an evidence-based investigation.

Table, index, and autovacuum health

Data organized to reduce the time between an operational signal and an evidence-based investigation.

Alerts for meaningful operational signals

Data organized to reduce the time between an operational signal and an evidence-based investigation.

From signal to investigation

Isolated metrics do not explain degradation. The goal is to relate health, workload, and query behavior so your team can prioritize the next step with context.

  1. 1Investigate why a query became slow
  2. 2Prioritize tables with bloat or inefficient autovacuum
  3. 3Track capacity before it becomes degradation

Related technical guide

Query performance monitoring guide

Read the guide to understand the technical problem, then use continuous monitoring to track behavior in production.

Read the guide
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