Reliable Kafka-Lambda Data Pipelines with AsyncAPI & Specmatic

Event-driven architectures built with Kafka and AWS Lambda are increasingly popular for powering real-time data pipelines for analytics. However, ensuring reliable data transformations and compatibility between event-driven services presents two critical challenges: how to verify event schemas across isolated Lambda functions, and how to streamline local testing without continuous deployments to AWS.

In this talk, we’ll share practical lessons from real-world experiences building Kafka-Lambda pipelines. We’ll demonstrate how to model Kafka topics and event schemas clearly using AsyncAPI 3.0’s request-reply pattern. Then, leveraging Specmatic for automated contract testing, we’ll show how each Lambda function’s input-output compatibility can be rigorously verified in isolation. Lastly, we’ll highlight the use of LocalStack for rapid local development, significantly improving developer productivity and shortening feedback loops.

Attendees will walk away with a clear strategy and proven tools to:
• Eliminate data schema compatibility issues before they reach production
• Accelerate the development process through effective local testing
• Build robust, contract-driven Kafka-Lambda integrations using AsyncAPI and Specmatic

Join us to unlock the full potential of reliable, maintainable, and developer-friendly real-time event-driven data pipelines.