PostgreSQL Performance Tuning: Tune PostgreSQL Like a Pro
Slow PostgreSQL queries usually come from bad evidence, missing indexes, poor memory settings, autovacuum problems, locks, or checkpoint pressure.
PostgreSQL performance tuning is not about guessing parameters or copying random config values from the internet. It is about measuring the workload, identifying the real bottleneck, tuning the right layer, and proving the result with evidence.
In this full PostgreSQL performance tuning masterclass, Dr. Ibrar Ahmed explains how to diagnose slow queries, read execution plans, use pg stat statements, understand wait events, tune memory, manage checkpoints and WAL pressure, improve autovacuum behavior, reduce bloat, handle locks, size connection pools, and roll out tuning changes safely in production.
You will learn how to think like a production PostgreSQL engineer: baseline first, classify the bottleneck, change one thing at a time, validate with metrics, and keep rollback ready.
Topics covered:
Query performance and execution plans
pg stat statements analysis
EXPLAIN ANALYZE with buffers
Index design and partial indexes
work mem and memory tuning
shared buffers and effective cache size
WAL and checkpoint tuning
Background writer tuning
Autovacuum, freeze, and bloat control
Lock waits and connection pool sizing
Safe rollout, canary testing, and rollback discipline
If you run PostgreSQL in production, this session will help you tune with confidence instead of guesswork.
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