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In this webcast, the presenter explains about their read-write-modify-free Cassandra schema for high-volume, variable-size time series data and how they use Btrfs LZO compression on disk to improve both storage space and retrieval time. The presenter also describe the ZeroMQ routing architecture for their metrics, how scaling and fault-tolerance are guaranteed, and future directions for their work.
- Format: Webcast
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