Redis development best practices for caching, data structures, and high-performance operations.

• Covers five core data structures (strings, hashes, lists, sets, sorted sets) plus streams, with command examples and use-case guidance for each
• Includes three caching patterns (cache-aside, write-through, invalidation) with pseudo-code and TTL strategies to prevent thundering herd
• Addresses high availability via replication, Sentinel, and cluster configuration with hash tags for key distribution
• Provides transaction and Lua scripting patterns for atomic operations, plus pub/sub messaging, persistence (RDB/AOF), and security hardening
• Covers monitoring, connection pooling, and performance optimization techniques including pipelining and memory management