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What Database Observability provides

Beyond basic metrics

Traditional database monitoring tells you that something is wrong. Database Observability tells you why.

Basic monitoring (integrations)Database Observability
Queries per second (aggregate)Which specific queries are slow and why
Connection countWhich connections consume the most resources
Replication status (up/down)How far behind a replica is and what’s causing lag
CPU and memory usageWhich queries drive resource consumption

What you see in the dashboards

Queries Overview is your starting point. It shows RED metrics (rate, errors, duration) for every query, so you can sort by duration and immediately find the slowest queries.

From there, you can drill into any query to explore:

  • Query samples — Individual executions with timing and parameters
  • Explain plans — Visual representation of how the database executes each query, with cost-coded nodes highlighting expensive operations
  • Wait events — Where queries spend time waiting for locks, I/O, or other resources instead of executing
  • Table schemas — Table structures, indexes, and constraints that may reveal missing indexes
  • AI-powered suggestions — Optimization recommendations based on query patterns

Managed database support

Database Observability works with the following self-managed databases and managed cloud services:

  • Self-managed MySQL and PostgreSQL
  • Amazon RDS (MySQL and PostgreSQL)
  • Amazon Aurora (MySQL and PostgreSQL)
  • Google Cloud SQL (MySQL and PostgreSQL)
  • Azure Database for MySQL and PostgreSQL

For cloud-managed databases, an infrastructure metrics panel surfaces CPU utilization, memory usage, IOPS, and network throughput alongside your query data.

Script

Traditional database monitoring tells you that something is wrong. Database Observability tells you why. That’s the core difference.

With basic monitoring, you see aggregate metrics like queries per second and connection counts. With Database Observability, you see which specific queries are slow, which connections are consuming the most resources, and what’s causing replication lag.

The Queries Overview dashboard is your starting point. It shows RED metrics, that’s rate, errors, and duration, for every query running against your database. From there, you can drill into any query to see explain plans, wait events, query samples, and table schemas. There are even AI-powered suggestions for optimization.

Database Observability works with self-managed databases and all the major managed cloud services, including Amazon RDS, Aurora, Google Cloud SQL, and Azure Database. For managed databases, you also get infrastructure metrics like CPU, memory, and IOPS right alongside your query data.

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