InfoQ Homepage Presentations Large-Scale Stream Processing with Apache Kafka
Large-Scale Stream Processing with Apache Kafka
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.
About the conference
Software is changing the world. QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community. A practitioner-driven conference, QCon is designed for technical team leads, architects, engineering directors, and project managers who influence innovation in their teams.
Jul 03, 2016