Kafka Tiered Storage at Uber addresses scalability, efficiency, and operational issues by decoupling storage from processing. This system uses two tiers of storage: local and remote, enhancing Kafka’s viability as long-term storage. It reduces cluster complexity and costs by storing older data in external storage and minimizes data transfer during recovery and rebalancing. The architecture includes components like RemoteStorageManager, RemoteLogMetadataManager, and RemoteLogManager for seamless management of log segments.
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