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Redis is a fast in-memory data store used for caching and low-latency applications.

B-Trees help databases find data quickly without scanning every row.

Choosing the right distributed lock depends on your system's needs and existing tools.

Kafka Streams uses local state for quick data access and changelogs for recovery.

Event Sourcing stores every action as an event to recreate the current state.

Kafka uses state stores to remember previous events in stateful stream processing.

Consistent hashing allows efficient addition and removal of nodes with minimal key movement.