Webinar: Architecting Agentic Data Planes (Lessons from OpenAI’s billion dollar Postgres mistake)

​Please note - to reserve a spot for this webinar you must register at: https://sdb.li/4qKkjAX

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​Architecting Agentic Data Planes: Lessons from OpenAI’s Billion Dollar Postgres Mistake

​OpenAI’s PostgreSQL scaling story is impressive engineering. It’s also a cautionary tale.

​Agentic AI systems introduce high write concurrency, bursty traffic patterns, and blended transactional + retrieval workloads. Traditional database architectures weren’t designed for this shape.

​In this live webinar, we'll break down:

• ​The architectural constraints that surface at scale

• ​The operational cost of “just making it work”

• ​Why AI workloads magnify single-writer bottlenecks

• ​What a natively distributed, horizontally scalable data plane looks like

• ​How to serve transactional and AI workloads from one live dataset - without duct tape

​​Speaker

Matthew Penaroza
Head of Solution Architecture, SurrealDB

​​Matthew Penaroza is Head of Solution Architecture at SurrealDB, where he helps design and scale distributed AI systems for global enterprises. As the solutions architect behind the core database systems at companies such as Plaid, Uber, and Atlassian, he brings firsthand insight into how the world’s largest organizations design data infrastructure and how those same architectural principles can be applied to AI systems that demand context precision and intelligent data management.