Optimizing RocksDB Memory Usage in Kafka Streams Applications
This blog explores how RocksDB, the database engine underlying Kafka Streams' state stores, manages memory usage through various components like block cache, index/filter blocks, and memtables. It highlights the default configurations used in Kafka Streams, explains the impact of memory settings on performance, and provides guidance on customizing these settings to optimize resource usage in streaming applications.
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Written byBenjamin Barret
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