Pittsburgh Postgres

WEBINAR: It’s no secret that Postgres is uniquely positioned as being an ideal foundation for agentic AI applications. However, there are many different components you need to consider to ensure your application runs as expected in an enterprise environment: in a security hardened manner, grounded in verifiable information, with efficient token usage.

In this talk, we will show you how to leverage the open source tools (licensed under the PostgreSQL license) within our pgEdge Agentic AI Toolkit to address these common concerns and ensure you’re prepared for different architectural use cases.
We’ll cover at a high level:
The pgEdge MCP Server for PostgreSQL, a highly performant and fully featured MCP server for access to any standard PostgreSQL database, whether greenfield or pre-existing
Natural Language Agents for querying data, available via a command-line interface (CLI) or a web user interface (full-featured MCP clients written in Go, with Anthropic prompt caching for a 90% cost reduction)
pgEdge-vectorizer, a Postgres extension that automatically chunks text content and generates vector embeddings using background workers
pgEdge RAG Server, a dedicated API Server for performing Retrieval-Augmented Generation (RAG) of text based on content from a PostgreSQL database using pgvector
pgEdge-docloader, a utility that makes it easy to bring initial material online
VectorChord-bm25, a Postgres extension implementing BM25 ranked search for hybrid semantic and full-text searching
By the end of the session, you will have insights on how to safely deploy your AI applications to production while ensuring your data sovereignty, privacy, integrity, security, and performance is rock solid.

WEBINAR: PostgreSQL has become the database of choice for modern applications, but scaling beyond a single instance remains a significant challenge. While MySQL users have benefited from Vitess, the battle-tested horizontal sharding system born at YouTube that now powers some of the world's largest deployments, PostgreSQL users have lacked a comparable solution. Multigres changes that.
This talk introduces Multigres, an open-source project that adapts Vitess's proven architecture for PostgreSQL. Led by Sugu Sougoumarane, co-creator of Vitess, Multigres brings horizontal scalability, high availability, and intelligent sharding to PostgreSQL while preserving full protocol compatibility with existing applications.
We will cover the full Multigres architecture and feature set. This includes Provisioning, Connection Pooling, Cluster Management, Backup/Restore, High Availability, Materialization and Sharding.
Who Should Attend: This session is for PostgreSQL DBAs, backend engineers, and architects who are hitting the limits of single-instance Postgres or planning for future growth. Whether you're managing multi-tenant SaaS platforms, building globally distributed systems, or simply want to understand the next frontier of PostgreSQL scaling, you'll leave with a clear picture of how Multigres works and where it's headed.

WEBINAR: Legacy dev workflows (nightly dumps, hand-crafted seed data, shared staging environments) are already strained. AI coding agents make it worse: they generate migrations and queries faster than any team can review, they experiment constantly, and they need fresh data and instant resets to work effectively. The database becomes the bottleneck.
This talk demonstrates a practical workflow for giving coding agents safe, isolated access to production-representative PostgreSQL data. Using a live demo, we walk through an MCP-integrated loop: spinning up instant anonymized clones, letting an agent work against real data distributions, and catching problems (like a migration that fails on production edge cases) before they ever reach production. We'll also show how we teach an old dog a new trick: git-like branching for your database, without modifying a single line of Postgres.