PostgreSQL Performance Tune

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Console

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PostgreSQL

Overview Connection and Permissions Activity Databases Queries Waits Memory I/O Indexes Deadlocks Server Log Settings Permissions Health Checks Alerts Performance Tuning

MySQL/MariaDB

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Oracle

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Settings And Integrations

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Legacy Documentation

PostgreSQL Performance Tune provides a guided review for PostgreSQL performance problems, connecting activity, queries, waits, indexes, memory, and I/O evidence.

Workflow

Open Performance Tune for the PostgreSQL server.
Review findings and supporting evidence.
Validate recommendations with Queries, PostgreSQL Execution Plans, Waits, Indexes, Memory, and I/O.
Open Performance Tuning With AI when you want Mini DBA AI Assistant to turn the evidence into an investigation plan.
Apply changes through a controlled database change process.
Re-check performance after changes.

PostgreSQL Tuning Strategy

PostgreSQL performance tuning works best as an evidence-led process. Start with the symptom: slow application requests, high CPU, storage latency, lock waits, connection saturation, or memory pressure. Then use the Performance Tune page to connect that symptom to supporting evidence from activity, queries, waits, indexes, memory, and I/O.

Avoid changing multiple settings at once unless the system is in an emergency and the risk is understood. PostgreSQL settings such as memory allocation, parallelism, autovacuum behavior, logging, and checkpoint tuning can interact with each other. A query or index change may solve a performance problem more safely than a broad server-level change.

For production systems, record the baseline before tuning. Capture the time window, main waits, expensive queries, affected databases, and user impact. After the change, compare the same evidence rather than relying only on a general impression that the system feels faster.

PostgreSQL Performance Tuning FAQ

What should I tune first?

Tune the thing that matches the evidence. If one query dominates, start with the query and indexes. If many workloads wait on storage, investigate I/O. If sessions are blocked, start with locking and transaction design.

Can Mini DBA make PostgreSQL changes automatically?

Mini DBA is designed to show evidence and recommendations. Apply database changes through your normal controlled change process.

How do I prove a tuning change helped?

Compare before-and-after metrics for duration, waits, execution count, I/O, CPU, and user impact over a similar workload period.