Query performance

PostgreSQL query performance monitoring to find regressions

Find slow queries, plan changes, regressions, and workload patterns so investigations start with evidence.

Queries ranked by operational impact

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

Behavior comparison over time

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

A direct path from detection to investigation

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. 1Find regressions after deployments
  2. 2Connect latency to queries and workload patterns
  3. 3Prioritize optimizations by measurable impact

Related technical guide

How to read EXPLAIN ANALYZE

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

Read the guide
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