SVS321: AWS Lambda and Apache Kafka for Real-time Data Processing Applications

Resources for SVS321: AWS Lambda and Apache Kafka for real-time data processing applications

In this session, gain practical insights into building scalable, serverless data processing applications by integrating AWS Lambda with Apache Kafka. Explore using event-driven models for real-time data streaming and processing. Discover different architectural patterns and best practices to achieve high throughput, fault tolerance, and low latency. Leave with the knowledge to design serverless data processing pipelines that extract valuable insights from real-time data streams efficiently and cost-effectively.

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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