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Database Sharding in 1 diagram and 204 words

Database Sharding in 1 diagram and 204 words

Sharding breaks a heavyweight database into bite-sized chunks spread across servers. That means better scalability, less strain on any one node.

The key? Picking the right shard key. Get that wrong, and you’re in cross-shard query hell.

Modulo, range, and consistent hashing each slice the pie differently—none perfect. Rebalancing’s a headache too.


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The FAUN watches over the forest of developers. It roams between Kubernetes clusters, code caves, AI trails, and cloud canopies, gathering the signals that matter and clearing out the noise.
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