Scaling your serverless data processing with Amazon Kinesis and Kafka

Description

In this session, explore how to build scalable data processing applications using AWS Lambda. Learn practical insights into integrating Lambda with Amazon Kinesis and Amazon MSK, using their event-driven models for real-time data streaming and processing. The session showcases different architectural patterns, best practices, and code examples for achieving high throughput, fault tolerance, and low latency. Gain the knowledge to design serverless data processing pipelines and extract valuable insights from real-time data streams.


Services

AWS services that will be covered in this talk.

Amazon Kinesis
Amazon MSK
AWS Lambda

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Session

SVS307

Type


Level


Categories

Analytics
Serverless Compute
Serverless DA Team

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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