Agent Skills: Redis Best Practices

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)

UncategorizedID: hoangnguyen0403/agent-skills-standard/database-redis

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skills/database/database-redis/SKILL.md

Skill Metadata

Name
database-redis
Description
"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)"

Redis Best Practices

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).
    • Readability vs Size: Keep keys descriptive but compact; avoid keys > 512 bytes.
  • Commands & Performance:
    • O(N) Avoidance: Use SCAN instead of KEYS. Use UNLINK instead of DEL for background reclamation of large keys.
    • Lua Scripting: Prioritize EVALSHA for atomic logic; ensure scripts are 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 the main thread.
    • Monitoring: Watch Used Memory RSS vs Used Memory Dataset. Large fragmentation suggests a need for MEMORY PURGE or scaling.

Anti-Patterns

  • No sole truth in Redis: Always persist critical data to a 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