Tips and Tricks for Postgres Observability at Scale

Running Postgres in production gets harder as your application grows. Logs pile up, metrics live in one tool, schema changes live in another, and when something breaks, you are stuck stitching it all together under pressure.This session shares practical tips and tricks for getting ahead of common Postgres operational challenges. We will cover how to spot configuration issues before they hit production, how to unblock application updates when schema changes go sideways, and how to quickly connect application failures back to the database changes that caused them.Along the way, we will show how bringing Postgres operational data together with modern AI tooling can take a lot of the manual work out of diagnostics, so you spend less time hunting for root causes and more time shipping.Whether you are running a handful of Postgres instances or managing them at scale, you will leave with concrete techniques you can apply to your own environment.