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Database Sharding at Netlog
The document discusses database sharding as a technique to scale and manage large datasets effectively at Netlog, which serves over 36 million unique users and handles billions of pageviews monthly. It covers the in-house implementation of a sharding management system that utilizes caching and a DNS-based method to allocate user data across different shards, improving performance and reducing cross-shard query complexity. The presentation emphasizes the benefits of sharding for database efficiency, faster queries, and enhanced application design.
