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PostgreSQL is Not Slow. Your Queries Are.

A field guide to the seven things that are actually making our database feel slow and how to stop blaming the wrong suspect. It usually starts with a Slack message: "The app feels slow". This is normally followed by a ticket, then an internal meeting, and finally someone, and there is always someone, saying: "I think we need to switch databases. PostgreSQL can't handle this load."
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How to know when your team needs PostgreSQL specialist support?

PostgreSQL is one of the most powerful and reliable open-source relational databases in the world. But even the best technology can start to lag when the team managing it lacks deep expertise. Many engineering teams reach a point where their general-purpose knowledge is simply no longer enough to keep up with growing demands. So how do you know when it's time to bring in a PostgreSQL specialist? The answer lies in recognizing specific patterns in your database performance, team's confidence, number of incidents, and architecture health.
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Cost of PostgreSQL performance issues

PostgreSQL is widely adopted because it removes licensing constraints and gives companies like OpenAI, Lovable, and Supabase, a reliable foundation for running production systems at scale. However, once deployed, the cost conversation of PostgreSQL shifts away from licensing and toward how efficiently the database supports the workload it is running.
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The 1 GB Limit That Breaks pg_prewarm at Scale

Recently, we encountered a production incident where PostgreSQL 16.8 became unstable, preventing the application from establishing database connections. The same behavior was independently reproduced in a separate test environment, ruling out infrastructure and configuration issues. Further investigation identified the pg_prewarm extension as the source of the problem. This blog post breaks down the failure, the underlying constraint, why it manifests only under specific configurations, and the corresponding short-term mitigation and long-term fix.
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