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Redis

Sahil Kapoor's Playbook March 27, 2026
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Redis (Remote Dictionary Server) is an in-memory data store that holds its dataset in RAM for sub-millisecond access. Beyond simple key-value, Redis supports rich data structures including strings, hashes, lists, sets, sorted sets, streams, bitmaps, and HyperLogLog.

How it works

A Redis server accepts commands over a simple text protocol (RESP). Commands are executed single-threaded, which keeps semantics simple and operations on a single key atomic. Replication is asynchronous primary-replica by default; sharding is achieved via Redis Cluster, which partitions keys across nodes by hash slot. Persistence options include periodic RDB snapshots and an append-only file (AOF) with configurable flush policy.

Common use cases

  • Caching. TTL-based eviction with millisecond reads.
  • Session store. Centralized session state for horizontally scaled web applications.
  • Rate limiting. Atomic increment with TTL backs token-bucket and sliding-window limiters.
  • Queues and streams. Lists, sorted sets, and Streams cover work queues and log-style consumers with consumer groups.
  • Pub/Sub. Lightweight fan-out messaging.
  • Leaderboards and counters. Sorted sets and atomic counters support real-time leaderboards and analytics.

Origin

Created in 2009 by Salvatore Sanfilippo (antirez) and released under the BSD license. Redis Ltd. (formerly Redis Labs) stewards the project; the license was changed in 2024, which prompted forks including Valkey, backed by AWS and the Linux Foundation.

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Related Terms Caching, Memcached, Eviction Policy, TTL, Pub/Sub, In-memory Database, Valkey, Redis Cluster

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Further Reading Redis as Infrastructure: Caching, Coordination, and Scale

Discussion in the ATmosphere

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