Estimated read time: 15-18 minutes The Challenge: Why Multi-Table Joins Matter at Scale When PostgreSQL runs at scale, a few expensive queries can bring down your entire service. OpenAI experienced this with ChatGPT: A single query joining 12 tables caused multiple high-severity production incidents. Complex multi-table joins are a common scaling bottleneck they can spike planning time, consume excessive resources, and create unpredictable performance. Understanding how Postg

(Inspired by OpenAI’s PostgreSQL scale challenges) When OpenAI shared their engineering journey of scaling PostgreSQL to support massive workloads, one insight quietly stood out: It’s also common to find long-running idle queries in PostgreSQL. Configuring timeouts like idle_in_transaction_session_timeout is essential to prevent them from blocking autovacuum. At first glance, this might sound like a small operational detail. But in reality, it points to a much bigger truth ab

Migrating from Oracle to PostgreSQL? Don’t just convert as per Tools default. This guide covers essential DDL considerations like NUMBER mapping, partitioning differences, PK/FK mismatches, and boolean transformation to help you build a stable PostgreSQL schema.

Oracle’s DBA_OBJECTS offers a live inventory of every table, view, and function—tracking creation, modification, and validity seamlessly. PostgreSQL lacks this out of the box, so we built an event trigger–based wrapper that mimics DBA_OBJECTS, giving DBAs real-time, queryable visibility into all DDL changes without digging through logs.