In this AWS re:Invent 2023 session, Julian Wood explores scaling serverless data processing using Amazon Kinesis and Apache Kafka with AWS Lambda. The presentation covers the fundamentals of data streaming, architectural patterns for Kinesis and Kafka, and best practices for integrating these services with Lambda for real-time data processing. Wood discusses the Lambda event source mapping, performance optimization techniques, and error handling strategies. He also delves into the specifics of configuring and managing Kafka and Kinesis streams, including networking considerations and scaling options. The session provides valuable insights for developers and architects looking to build efficient, scalable, and cost-effective serverless data processing pipelines on AWS.