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Database Engineering
  • Database Fundamentals
  • SQL
  • Relational Modeling
  • Normalization & Denormalization
  • Indexes
  • Query Execution & Optimization
  • Transactions
  • Concurrency & Isolation
  • PostgreSQL
  • Redis
  • NoSQL & Data Models
  • Vector Databases & Retrieval
  • Scaling
  • Distributed Databases
  • Caching
Database Internals
  • Overview
  • Build AtlasDB
  • Storage, Records & Pages
  • Index Internals
  • Buffer Management
  • WAL & Recovery
  • Transactions & MVCC Internals
  • LSM Trees
  • Query Engine
  • PostgreSQL & InnoDB Internals
  • Distributed Internals
  • Performance Internals
Database/Learn/Redis
Database Engineering

Redis

Not "a cache": strings, hashes, lists, sets, sorted sets, streams, TTL, pub/sub, atomic operations — and when not to use it.

See how this works internally:LSM Trees →
Redis: Data Structures, Not a Cache
▶ interactive

Redis is an in-memory server of data structures — strings, hashes, lists, sets, sorted sets, streams — with atomic operations and per-key expiry; caching is the most common use, not the defining one.

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