Vibhor Kumar

This half-day working session brings together practitioners, builders, and skeptics to explore how AI, machine learning, and automation are reshaping the way we develop, run, and scale PostgreSQL. Through a curated set of short talks and an interactive discussion, we will move beyond hype and focus on: This is not a passive session.

While PostgreSQL 17 boasts significant advancements, some DBA-centric features remain on the horizon. This presentation delves into seven key areas where DBAs might encounter limitations and offers practical workarounds to navigate these challenges effectively.

While PostgreSQL 17 boasts significant advancements, some DBA-centric features remain on the horizon. This presentation delves into seven key areas where DBAs might encounter limitations and offers practical workarounds to navigate these challenges effectively.

Harassment, Hate Speech, Pig Butchering Scams, and Underage users. These are just some of the possible categories of the (very) long tail of harm on Tinder. How can we possibly train, serve, and maintain models for all of these, at global, real-time scale? We build off of pre-trained models and an increasingly mature open-source ecosystem.

In today's digital landscape, high-traffic applications demand robust and scalable database solutions. PostgreSQL, with its rich feature set and extensibility, is an excellent choice for such applications.

Explore the evolution and changes for replication options for Postgres from physical replication to logical replication and finally to Postgres-BDR® (Bi-Directional Replication).