Redis Best Practices
Data Modeling
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Use appropriate data structures
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Use meaningful key names
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Implement key expiration
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Use hashes for objects
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Use sorted sets for leaderboards
Caching Patterns
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Cache-aside (lazy loading)
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Write-through for consistency
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Write-behind for performance
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Set appropriate TTLs
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Handle cache misses gracefully
Performance
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Pipeline commands
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Use Lua scripts for atomic ops
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Avoid large keys/values
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Use SCAN instead of KEYS
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Monitor memory usage
Reliability
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Enable persistence (RDB+AOF)
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Use Redis Cluster for HA
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Implement proper error handling
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Set maxmemory policy
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Monitor with RedisInsight
Security
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Enable authentication
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Use TLS encryption
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Bind to specific interfaces
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Rename dangerous commands
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Limit client connections