How SportsEngine process over 200k messages/ second with 1 second latency - DevAfterWork
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How SportsEngine process over 200k messages/ second with 1 second latency

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How SportsEngine process over 200k messages/ second with 1 second latency
Real time data processing with Java, Kafka and Flink

SportsEngine is the distributed system at the core of OddsMatrix sports book product. In handles data for over 2 million sport events per year with almost 100% uptime. It's developed with core Java and uses extensively Apache Kafka, Zookeeper and MySQL. Learn about the ideas and challenges to build such a distributed system and how this shallow technology stack made it happen.

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Dragos Cernahoschi

Dragos Cernahoschi / Speaker

Software Engineer
EveryMatrix

I am a software engineer passionate about high-performance distributed systems, programming languages, and clean code. I design, build, and optimize components, libraries, and communication protocols that handle large quantities of data in real time. I enjoy writing software in Java, Rust, and Kotlin, with Apache Kafka frequently powering my solutions.