[Verse 1] In the stream of data flowing fast and free Kafka stands as our distributed key Brokers form a cluster, topics hold the data Partitions split the load, replicas make it greater Messages flow in order, offset tracks the way Producers write the future, consumers read today [Chorus] B-T-P-R, brokers topics partitions replicas P-C-G, producers consumers groups in harmony Kafka keeps the data streaming, never losing what we need Distributed architecture, built for scale and speed [Verse 2] ZooKeeper used to coordinate the dance Managing the metadata, giving brokers their chance But KRaft mode is rising, Kafka's own consensus No more external keeper, internal and tremendous Controller election happens within the cluster now Self-managing architecture, Kafka shows us how [Chorus] B-T-P-R, brokers topics partitions replicas P-C-G, producers consumers groups in harmony Kafka keeps the data streaming, never losing what we need Distributed architecture, built for scale and speed [Bridge] Log compaction keeps the latest state Retention policies decide each message fate Segments store the data, rolling when they're full Connect moves the data, Streams make it beautiful Schema Registry validates, ensuring data's clean Trading throughput latency durability in between [Verse 3] Consumer groups balance the partition load Each partition owned by one, that's the sacred code Rebalancing happens when consumers join or leave Offset commits track progress, recovery they achieve Acknowledgments control the durability we gain At-least-once or exactly-once, managing the pain [Chorus] B-T-P-R, brokers topics partitions replicas P-C-G, producers consumers groups in harmony Kafka keeps the data streaming, never losing what we need Distributed architecture, built for scale and speed [Outro] From produce to consume, the data flows complete Kafka fundamentals make our streaming sweet Built for scale and speed
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