Google Cloud SQL for PostgreSQL

See what Query Insights cannot

Cloud SQL enforces limits you do not see from inside Postgres. DBExplore reads Cloud Monitoring and Cloud Logging through one agent and joins them to the queries and vacuum cycles that trigger them.

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What goes wrong

OOM kills with no warning

Cgroup limits are enforced aggressively. The first sign is a restart in the logs, not a memory chart.

Storage auto-resize slowdowns

Auto-resize keeps you online and degrades performance for hours afterwards, with nothing in Query Insights to explain it.

Freeze vacuums and export locks

Autovacuum-to-prevent-wraparound CPU and long-running EXPORT operations are invisible in the console until they block you.

What DBExplore does about it

Platform metrics, normalized

CPU, memory, and disk utilization and quota changes aligned with database metrics on one timeline.

Logging correlation

Restart, out-of-memory, and export events join the anomaly timeline with the queries that were running.

Project-wide discovery

Every instance in every project, authenticated with IAM, no static passwords.

Vacuum and wraparound runway

Freeze-vacuum activity and transaction ID age forecast so the emergency vacuum happens on your schedule.

See the full platform Security & Trust

Google Cloud SQL for PostgreSQL: questions we get first

Which versions?

Every PostgreSQL major version Cloud SQL currently offers.

Index what-if analysis?

Supported when the what-if extension is enabled on the instance. Without it the advisor still ranks candidates by cost model.

What leaves the database?

Metrics, catalog metadata, execution plans, and query text with literals scrubbed on the agent before it is sent. Parameter capture is off by default. Row data never leaves.

Can DBExplore change anything without approval?

Not by default. Every tenant starts at approve. Disruptive actions always need two approvers, and every mutating action passes a fail-closed policy gate first.