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PostgreSQL Performance Tuning: From Slow to Fast in 5 Steps

May 10, 2026·12 min read·InfraOpex Team

PostgreSQL is incredibly powerful but requires proper tuning to perform at scale. Here are the five steps we use with every client.

Step 1: Identify Slow Queries

Enable pg_stat_statements and query the slowest queries:

SELECT query, mean_exec_time, calls FROM pg_stat_statements ORDER BY mean_exec_time DESC LIMIT 20;

This immediately shows you where time is being spent.

Step 2: Fix Missing Indexes

Use EXPLAIN ANALYZE to find sequential scans on large tables. Add indexes strategically — partial indexes for filtered queries, composite indexes for multi-column WHERE clauses.

Step 3: Tune postgresql.conf

Key parameters to adjust based on your server RAM: - shared_buffers = 25% of RAM - effective_cache_size = 75% of RAM - work_mem = RAM / max_connections / 4 - max_wal_size = 4GB for write-heavy workloads

Step 4: Optimize Autovacuum

Bloated tables kill performance. Tune autovacuum to run more aggressively on high-write tables: - autovacuum_vacuum_scale_factor = 0.01 - autovacuum_analyze_scale_factor = 0.005

Step 5: Connection Pooling

Use PgBouncer in transaction mode to reduce connection overhead. This alone can improve throughput by 3-5x on high-concurrency workloads.

InfraOpex Database Services

We provide managed PostgreSQL administration including performance tuning, HA setup, and 24/7 monitoring. Contact us for a free database health check.