PostgreSQL performance isn’t magic—it’s engineering. In this code talk, we dive deep into practical tuning techniques to avoid common pitfalls that silently degrade performance by improving an underperforming PostgreSQL database workload. Learn how excessive indexes hurt write throughput, why HOT updates fail, and how vacuum behavior can stall your system. We’ll demonstrate how to use Query Plan Management (QPM) and pg_hint_plan for plan stability and decode wait events to uncover hidden bottlenecks. With real SQL examples and system insights, this session equips you to tune PostgreSQL for predictable, high-performance workloads.

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