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Efficient Data Consistency: Incremental Repair for ScyllaDB Tablets

Asias He
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In this Monster Scale Summit Presentation

Maintaining data consistency in large-scale distributed databases often comes with a high performance cost. This session introduces the Incremental Repair feature for ScyllaDB’s tablet-based architecture. It's a significant optimization designed to minimize repair overhead by focusing exclusively on unrepaired data.

Asias He, Principal Software Engineer, ScyllaDB

Asias He is a long-time open source developer who previously worked on Debian Project, Solaris Kernel, KVM Virtualization for Linux and OSv unikernel. He now works on Seastar and ScyllaDB.