Streaming Data Platforms
Kafka, the commit log, and the problems of streaming at scale
How log-based streaming platforms like Kafka work — topics, partitions, offsets, replication, retention and compaction — and the real-world problems they create (rebalancing storms, hot partitions, consumer lag, duplicate and out-of-order delivery, exactly-once pitfalls, schema evolution) and how engineers fix them.