Mocking event-driven APIs is much harder than mocking REST endpoints. In asynchronous architectures powered by Kafka, MQTT, or AMQP, messages are contextual, time-sensitive, and schema-driven — making static, hardcoded mocks quickly obsolete. To truly support developer velocity and early integration, teams need dynamic mocks that behave like real event producers and consumers.

In this session, we’ll explore how to bring realistic, dynamic mocking to event-driven systems using Kubernetes-native tooling. You’ll learn how to automatically generate and deploy mocks from AsyncAPI contracts, simulate message streams over Kafka, MQTT, or AMQP all inside your Kubernetes environment.

We’ll discuss:
- Managing and generating dynamic mocks from AsyncAPI specifications
- Running event producers and consumers as Kubernetes-native components
- Using Kubernetes-native tools like Microcks to orchestrate and scale mocks dynamically
- Keeping mock behavior realistic as schemas and topics evolve