Resources for re:Invent SVS307

Scaling your serverless data processing with Amazon Kinesis and Kafka

This talk explores how to build scalable data processing applications using AWS Lambda. Attendees will gain practical insights into integrating Lambda with Amazon Kinesis and Amazon MSK, using their event-driven models for real-time data streaming and processing. The talk showcases different architectural patterns, best practices, and code examples for achieving high throughput, fault tolerance, and low latency. By the end, participants will have the knowledge to design serverless data processing pipelines and extract valuable insights from real-time data streams.

Presented by:

Julian Wood

Julian Wood

Julian is a developer advocate at AWS who loves helping developers learn how serverless and AI technologies can transform the way they build and run applications in the cloud.

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