Systems | Development | Analytics | API | Testing

45 million vehicles, 90 markets, 12+ iconic brands, each with its own data silos, standards, and infrastructures. In this episode, Chetan Alatagi, Solution Architect reveals how they transitioned from fragmented legacy ETL silos to a Unified Data Ecosystem—a global data streaming highway that turns vehicle telemetry into real-time value.

Escaping the monolith didn’t just simplify architecture—it unlocked speed, flexibility, and hiring freedom for Busie.

Managing Kafka wasn’t the business—delivering customer value was.

Tightly coupled request-response create cascading failures. Brady at Busie, explains why moving to an event-driven architecture was the only way to guarantee an “always-us” system for mission-critical operations.

Learn how to spin up a gateway and trigger a failover (and a failback) when your Confluent Cloud clusters fail—without needing to restart your Apache Kafka clients. NOTE: This demo is a proof of concept and is not production-ready. Use at your own risk. –

As AI agents act on enterprise data, governance failures become business liabilities. Learn why fixing them downstream won’t work anymore.

ABOUT CONFLUENT Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion – designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations.

AI agents won’t just increase traffic—they’ll overwhelm legacy databases unless core data architectures evolve to handle machine-scale demand.