Database Redis | Skills PoolDatabase Redis
Optimize Redis caching, key management, and performance. Use when implementing Redis caching strategies, managing key namespaces, or optimizing Redis performance. (triggers: **/*.ts, **/*.js, **/redis.config.ts, redis, cache, ttl, eviction)
HoangNguyen0403418 스타2026. 4. 11. Priority: P0 (CRITICAL)
- Security:
- Access Control: Use Redis 6.0+ ACLs (
ACL SETUSER) to restrict commands by user/role.
- Encryption: Always enable TLS for data-in-transit (standard in managed Redis like Azure/AWS).
- Dangerous Commands: Disable or rename
FLUSHALL, KEYS, CONFIG, and SHUTDOWN in production.
- Connection Resilience:
- Pooling: Use connection pooling with tuned high/low watermarks to avoid connection churn.
- Timeouts: Set strict
read_timeout and connect_retries to handle transient network saturation.
Guidelines
- Key Design:
- Namespacing: Use colons to namespace keys (e.g.,
app:user:123, rate:limit:ip:1.1.1.1).
SCAN instead of KEYS. Use UNLINK instead of DEL for background reclamation of large keys.Lua Scripting: Prioritize EVALSHA for atomic logic; ensure scripts pre-loaded to save bandwidth.Massive Range: Limit ZRANGE, HGETALL, and LRANGE results with offsets/limits.Memory Management:Eviction Strategy: Use allkeys-lru for general caches and volatile-lru for mixed persistent/ephemeral data.Lazy Freeing: Enable lazyfree-lazy-eviction and lazyfree-lazy-expire (Redis 4.0+) to offload cleanup from main thread.Monitoring: Watch Used Memory RSS vs Used Memory Dataset. Large fragmentation suggests need for MEMORY PURGE or scaling.Anti-Patterns
- No sole truth in Redis: Always persist critical data to durable primary database.
- No large blobs: Split values > 100KB into smaller keys or use Hashes for field access.
- No JSON for objects: Use
HSET for object fields to enable O(1) access without full decode.
- No TTL-less keys: Set TTL or eviction policy on all non-permanent keys to prevent unbounded growth.
References
- Best Practices Guide
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Guidelines