Name: Postgres Conference: 2026
Start: 2026-04-21T00:00:00+00:00
End: 2026-04-23T00:00:00+00:00
Location: San Jose, California

Postgres Conference: 2026 - April 2026 | Kure‑Cal

Schedule

14 events • 5 tracks • 4 concurrent events

Day 1 - Apr 21, 2026

Activity

8:30 pm to 3:30 pm

Registration

Conference Happenings

Almaden Foyer

Talk

9:00 am to 9:50 am

Autonomous PostgreSQL: When AI Agents Become Your DBA

PostgreSQL operations are evolving from reactive monitoring to autonomous, AI-powered management. This session demonstrates how agentic AI leveraging MCP servers can automate routine DBA tasks like health checks, parameter tuning, and index management. Practical implementations using pgvector with HNSW indexing and intelligent connection pooling will be explored.

Santa Clara (Level C)

Talk

9:00 am to 9:50 am

Building Real-Time, Data-Aware Intelligence with Postgres & Model Context Protocol (MCP)

This talk explores how the Model Context Protocol (MCP) bridges the 'context gap' for AI agents, transforming PostgreSQL into a live, structured data source for LLMs. It aims to eliminate hallucinations in data analysis by making AI agents data-aware.

San Pedro (Level C)

Talk

9:00 am to 9:50 am

The power of mentorship

This session discusses the critical role of mentorship for managers to ensure team success, especially in developing leadership skills. It emphasizes mentorship over organizational 'tasks' to build more effective teams.

Winchester

Talk

9:00 am to 9:20 am

Running PostgreSQL in Hybrid Data Architectures

This session explores the operational realities and patterns for running PostgreSQL in hybrid environments, where it must sync with other platforms like Oracle or Snowflake under production load. It focuses on zero-downtime modernization.

Winchester 2

Talk

9:30 am to 9:50 am

Materialized Views: Performance Shortcut or Operational Trap?

Materialized views can speed up complex PostgreSQL queries but introduce hidden operational costs. This talk examines real-world examples where they became bottlenecks, discusses safer usage patterns, and compares alternative approaches. Attendees will gain a framework for deciding when to use materialized views.

Winchester 2

Talk

10:00 am to 10:50 am

Using Postgres to locate the best coffee near you! ☕

This talk demonstrates how PostgreSQL, PostGIS, and pgvector combine spatial data and vector embeddings to answer real-world questions like locating the best coffee shop. A hands-on demo will show storing/querying geographic data, generating vector embeddings, and combining spatial filters with semantic search for location-aware applications.

San Pedro (Level C)

Talk

10:00 am to 10:50 am

RDS Maintenance: Strategies for Patching and Version Upgrades

This paper presents a comprehensive analysis of patching strategies and engine upgrade methodologies for Amazon RDS PostgreSQL, examining trade-offs to minimize operational disruption. It addresses the critical challenge of maintaining up-to-date instances with annual major releases and security patches.

Winchester 2

Talk

10:00 am to 10:50 am

Implementing Transparent Data Encryption At Rest

This session introduces pg_tde, a freely available open-source extension for transparent data encryption at rest in PostgreSQL. It reviews basic concepts and demonstrates the ease of installation to protect data from theft or exploitation.

Winchester

Talk

10:00 am to 10:50 am

Elevate your DBA toolset with pg collector

PG Collector is a powerful open-source tool that gathers PostgreSQL performance details, presents them in a simple report, and provides automated database health checks. DBAs will learn how this tool can help reduce Mean Time To Know (MTTK) and gain deep insights into database health.

Santa Clara (Level C)

Talk

11:30 am to 11:50 am

Debezium and PostgreSQL in Action

Debezium enables real-time change data capture (CDC) for event-driven architectures. This talk provides a practical look at Debezium with PostgreSQL, covering logical replication, how Debezium captures changes, and behavior during restarts or failures. It highlights common pitfalls and operational best practices.

San Pedro (Level C)

Talk

2:00 pm to 2:50 pm

The Elephant in the Room: Tackling PostgreSQL Major Version Upgrades Head-On

PostgreSQL major version upgrades are challenging. This session examines proven strategies like in-place upgrades, Blue/Green deployments, and logical replication, drawing from AWS customer experiences. It covers best practices for application testing, schema validation, pre-upgrade checks, and rollback strategies to ensure successful upgrades with minimal disruption.

Santa Clara (Level C)

12 concurrent sessions

Talk

11:00 AM

YMatrix mxvector: How to implement high performance pluggable vectorized executor in PostgreSQL

This session explores how PostgreSQL's performance in OLAP and HTAP scenarios can be significantly enhanced through a vectorized executor. It focuses on leveraging typed operations, batched processing, and SIMD instructions for optimized analytical workloads.

Day 2 - Apr 22, 2026

Talk

1:00 pm to 1:50 pm

Stop Guessing: How to Actually Fix PostgreSQL Performance

When PostgreSQL performs poorly, the root cause is rarely a single configuration. This talk breaks down common performance issues like missing indexes, poor statistics, and suboptimal query patterns. Attendees will learn systematic diagnosis and fixes for reliable performance improvements.

Winchester

Session Details

Registration

8:30 pm to 3:30 pm

Almaden Foyer

Conference Happenings

Overview

Schedule

Registration

Autonomous PostgreSQL: When AI Agents Become Your DBA

Building Real-Time, Data-Aware Intelligence with Postgres & Model Context Protocol (MCP)

The power of mentorship

Running PostgreSQL in Hybrid Data Architectures

Materialized Views: Performance Shortcut or Operational Trap?

Using Postgres to locate the best coffee near you! ☕

RDS Maintenance: Strategies for Patching and Version Upgrades

Implementing Transparent Data Encryption At Rest

Elevate your DBA toolset with pg collector

Debezium and PostgreSQL in Action

The Elephant in the Room: Tackling PostgreSQL Major Version Upgrades Head-On

YMatrix mxvector: How to implement high performance pluggable vectorized executor in PostgreSQL

Stop Guessing: How to Actually Fix PostgreSQL Performance

Registration