Systems | Development | Analytics | API | Testing

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.

The agentic era is changing who—or rather, what—does the shopping. Find out how you can prepare your business for it..

AI isn’t just evolving—it’s reshaping who your customers are, how systems operate, and what real time really means. From machines making purchase decisions to agents increasing query volume across databases, the realities of 2026 are forcing leaders to rethink data architecture and governance strategies at a fundamental level. In this episode, Joseph is joined by Will LaForest (Field CTO, Confluent), Adi Polak (Director of Developer Advocacy & Experience, Confluent), and independent analyst, Sanjeev Mohan, to break down critical insights from Confluent’s 2026 Predictions Report.

Busie Agentic Driver and Vehicle Scheduling: Intelligent assignment of drivers and vehicles to trips using real-time data on driver location and availability, vehicle utilization, and customer sentiment to optimize efficiency, service quality, and outcomes.

Andy Steinmann of MarketAxess walks through how his team learned that “managed” Apache Kafka wasn’t really managed—and why Confluent Cloud was different.

Andy Steinmann of MarketAxess shares how access to Apache Kafka experts—not just software—became the turning point in MarketAxess’ shift to Confluent Cloud.