Ticketmaster を使用した KSQL/Kafka ストリーム処理入門

An Introduction to KSQL & Kafka Streams Processing with Ticketmaster

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In this all too fabulous talk with Ticketmaster, we will be addressing the wonderful and new wonders of KSQL vs. KStreams.

If you are new-ish to Apache Kafka® you may ask yourself, “What is a large Apache Kafka deployment?” And you may tell yourself, “This is not my beautiful KSQL use case!” And you may tell yourself, “This is not my beautiful KStreams use case!” And you may ask yourself, “What is a beautiful Apache Kafka use case?” And you may ask yourself, “Am I right about this architecture? Am I wrong?” And you may say to yourself, “My God! What have I done?”

In this session, we’re going to delve into all these issues and more with Chris Smith, VP of Engineering Data Science at Ticketmaster.

Watch now to learn:

  • Ticketmaster Apache Kafka Architecture
  • KSQL Architecture and Use Cases
  • KSQL Performance Considerations
  • When to KSQL and When to Live the KStream
  • How Ticketmaster uses KSQL and KStreams in production to reduce development friction in machine learning products


Chris Smith

Chris Smith, VP Engineering Data Science, Ticketmaster

Dani Traphagen

Dani Traphagen, Sr. Systems Engineer, Confluent

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