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Large-Scale Stream Processing with Apache Kafka
Recorded at:

by Neha Narkhede on Jul 03, 2016 | NOTICE: The next QCon is in London, March 6-10, 2017. Join us!
50:46

Summary
Neha Narkhede explains how Apache Kafka was designed to support capturing and processing distributed data streams by building up the basic primitives needed for a stream processing system. She explains how Kafka and Kafka Streams solves practical problems in building scalable and stateful microservices, based on her experience.

Bio

Neha Narkhede is co-founder and CTO at Confluent. She is also the co-creator of Apache Kafka and serves as a PMC member and committer for the project. Previously, she was responsible for LinkedIn’s petabyte scale streaming infrastructure supporting hundreds of billions of events per day.

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