Foreword
I am a big fan of the event-driven microservices architecture. I was introduced to it when I was an engineer at LinkedIn in 2012, around the time when Apache Kafka was brand new and stream processing based on Kafka was just getting started. I gave a conference talk about it called “Turning the Database Inside-Out” in 2014, which is still my most-viewed talk on YouTube. And when I wrote my book Designing Data-Intensive Applications (O’Reilly, 2017) I started seeing event streams everywhere, in all the data systems we use every day. Database durability, replication for high availability, transactions, real-time collaboration, updating large-scale analytics systems … it’s all event logs.
In the decade since then, I have moved to academia, and I am now on the faculty of the Department of Computer Science and Technology at the University of Cambridge. Although I’ve shifted research topics a bit, I’m still working on distributed systems, and I still keep coming back to events. They enable scalability, fault tolerance, decentralization, decoupling, debugability, evolvability, and many other wonderful things. Events, events, events! They’re great! Use them!
Given my excitement for the topic, I was, of course, delighted when Adam asked me to write a foreword for the second edition of his book. He has been in the data engineering space for 15 years too and started working with Apache Kafka in 2015 after version 0.8.2 came out. He built event-driven data pipelines and microservices ...
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