The Architect’s Playbook for Building AI-Ready Systems

A blueprint for building intelligent, scalable systems with distributed SQL

AI workloads are changing the shape of modern systems. Agent-driven processes now generate continuous, high-concurrency data traffic. Traditional databases weren’t built for this: they struggle under scale, degrade with concurrency, and require downtime for basic operations.

This playbook outlines practical architectures and design patterns for building AI-ready systems on distributed SQL — showing how to handle vector workloads, real-time data consistency, and global scalability without sacrificing reliability or simplicity.

Inside this playbook, you’ll unlock four key resources:

• The New Blueprint for AI-Ready Data: Vector Search Meets Distributed SQL

• How to Build GenAI Apps with CockroachDB & AWS Bedrock 

• How to Build AI Data Agents with CockroachDB & LangChain

• Three AI Use Cases, One Database: IAM, Metadata Management, and Vector Search at Scale

Download the playbook to start designing for the future of data-intensive, AI-native applications.