Tag: sharding

Distribute data across nodes with partitioning so each node owns a shard. Horizontal scaling without shared state, with locality and fault isolation per partition.

Split a large dataset into smaller partitions (shards) distributed across multiple servers to improve growth, performance, and availability beyond single-node limits.

Master database sharding. Covers range-based, hash-based, and directory-based partitioning strategies, consistent hashing, shard key selection, cross-shard queries, resharding, Vitess, Citus, and when to shard vs scale vertically with practical examples.

Deploy and scale Elasticsearch clusters. Covers node roles, sharding, replicas, index templates, mapping, snapshots, and production tuning for search at scale.

A practical guide to horizontal partitioning (sharding), vertical partitioning, and range vs hash strategies. Scale databases without downtime.