Configuring Apache Kafka with Boomi

Kafka is known for handling massive data streams and Boomi is known for integration. But how do you make them work together efficiently, reliably and at scale?

If your architecture depends on real-time event processing, getting Apache Kafka integrated into your enterprise workflows is essential. But setting up publish/subscribe flows in a scalable, maintainable way can be a challenge, especially if you're aiming to avoid excessive code and reduce complexity.

That’s exactly what this ebook helps you solve.

You’ll walk through a real implementation of Apache Kafka in Boomi using the Boomi Kafka Connector. The guide includes everything from setting up Kafka topics and configuring your Boomi Atom, to building integration processes for publishing and consuming messages. You'll also learn about use cases like log aggregation, alerting and metrics streaming, plus how to test and monitor the full end-to-end flow.

Inside, you’ll find:

• A complete overview of the architecture and required components
• Step-by-step instructions to set up the Kafka Connector in Boomi
• Detailed walkthroughs for creating producer and consumer flows
• Testing methods to validate message delivery
• Use cases that demonstrate Kafka-Boomi integration in action