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In Part 5 of this special Postgres in Production deep dive series, Ryan Booz turns to configuration. There are only a handful of settings that control how pg_stat_statements behaves, but they decide how much data you keep and how much you lose. This episode covers how to see when you’re losing data through deallocations, what each setting actually does, and the changes (in settings and in your application) that reduce data loss over time.

© Laurenz Albe 2026 (see here for more background)

Recently, I helped a customer investigate database problems. It turned out that these problems could be traced back to too many tables in the database. Since this may come as a surprise to many users, I thought it worth the while to write about it.

There were two problems that sounded like they might or might not be related to each other:

The most recent meeting of ISO/IEC JTC1 SC32 WG3 “Database Languages” took place from the 15th to the 19th of June 2026 in Stockholm. “WG3”, as we call it, works on standardizing the database languages SQL and GQL. In that meeting, a number of proposals that are of interest to SQL and PostgreSQL were accepted, which I want to report about here.

Upgrading PostgreSQL 19 clusters has become more seamless with tools like pg_upgrade and pg_createsubscriber, which together enable near-zero-downtime upgrades by first converting physical replicas into logical subscribers and then performing the upgrade with minimal service interruption.

Having written about the Swiss PGDay in 2024, I need not repeat all I said back then. Nonetheless, I'd like to share my impressions from the Swiss PGDay 2026 with you.

In the previous post, I tried to lay out the framing half of this material: what actually counts as a disaster, why preparation and prevention aren’t the same as recovery, and how RPO and RTO end up being conversations with leadership rather than numbers an infrastructure team gets to declare on its own.

On June 23 2026, the London PostgreSQL Meetup Group met. Organized by:

• Valeria Kaplan
• Chris Ellis
• Alastair Turner
• Michael Christofides

Speakers:

Everyone knows not to store money as a double precision. One can hope. The rule is so well drilled that it has stopped being interesting, and it is also not where the trouble usually starts. The float is already in the schema before anyone weighs in on it: a measurement column someone later sums for a report, telemetry that drifts into a finance dashboard, a third-party feed ingested as double precision because that is how it arrived.