Building a distributed cache with consistent hashing and leader-replica replication in Go

Short summary

Author explains building a distributed cache using consistent hashing and a leader-replica replication strategy, inspired by Dynamo and Cassandra. The approach separates data placement (hash ring with virtual nodes) from replication (single leader per shard, async replicas) to achieve even load, fast reads, and predictable writes. Includes Go code for a consistent hashing ring implementation.

• •Consistent hashing with virtual nodes ensures even key distribution and minimal reshuffling on node changes
• •Single-leader-per-shard replication provides read scale without consensus overhead on every GET
• •Includes Go implementation of a hash ring with vnode support

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