Register for Apache Kafka®, Confluent, and the Data Mesh

Why Kafka Works the Way It Does (And Not Some Other Way)

Studying the ""how"" of Kafka makes you better at using Kafka, but studying its ""whys"" makes you better at so much more. In looking at the tradeoffs behind a system like Kafka, we learn to reason more clearly about distributed systems and to make high-stakes technology adoption decisions more effectively. These are skills we all want to improve!

In this talk, we'll examine trade-offs on which our favorite distributed messaging system takes opinionated positions:

  • Whether to store data contiguously or using an index
  • How many storage tiers are best?
  • Where should metadata live?
  • And more.

It's always useful to dissect a modern distributed system with the goal of understanding it better, and it's even better to learn to deeper architectural principles in the process. Come to this talk for a generous helping of both.


Tim Berglund

Tim Berglund is a teacher, author, and technology leader with Confluent, where he serves as the Senior Director of Developer Experience. He can frequently be found at speaking at conferences in the United States and all over the world. He is the co-presenter of various O’Reilly training videos on topics ranging from Git to Distributed Systems, and is the author of Gradle Beyond the Basics. He tweets as @tlberglund, blogs very occasionally at, is the co-host of the podcast, and lives in Littleton, CO, USA with the wife of his youth and their youngest child, the other two having mostly grown up.