Data Streaming
Kafka: A Distributed Messaging System for Log Processing
Read original paperAdded November 15, 2024
Summary
LinkedIn's Kafka paper presents a distributed messaging system optimized for high-throughput, persistent messaging. It treats messages as logs, provides partitioning for scalability, and guarantees message ordering within partitions.
💡 Key Takeaway
Modeling messaging as an append-only log is incredibly powerful. Kafka's design shows that by embracing the log as a first-class abstraction, you can build systems that are both simple and scalable. This log-centric approach has influenced how I think about event-driven architectures and data pipelines.