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database-redis

Optimize Redis as cache and coordination infrastructure with TTL, eviction, and latency-aware key design. Use when implementing Redis caching, key invalidation, or Redis performance work.

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含まれるファイル(4)

  • SKILL.md2.2 KB
  • evals/evals.json2.3 KB
  • references/best-practices.md2.7 KB
  • references/checklist.md1.6 KB

SKILL.md(原文)

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Redis Best Practices

Priority: P0 (CRITICAL)

Redis is fast only when key shape, TTL ownership, and command complexity are explicit.

Rules

  • Namespace keys by product/domain and entity.
  • Give cache keys a TTL or a documented reason not to expire.
  • Pick eviction policy to match workload: allkeys-lru for general caches, volatile-lru for mixed persistent/ephemeral data. Monitor hit rate and evictions.
  • Avoid slow or unbounded commands in hot paths; prefer SCAN over KEYS and UNLINK over DEL for large-key deletion. lazyfree settings help background reclamation.

Verify

  • Key naming identifies owner and invalidation scope.
  • TTL or eviction policy exists for non-durable data.
  • Large reads use bounded range/scan patterns.
  • Connection timeouts and pool settings are explicit.
  • Critical state does not exist only in Redis.

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.
  • No KEYS in app paths: use SCAN or explicit index keys.

References

Canonical response anchors

When this skill applies, preserve the following domain terminology or equivalent concrete examples in the answer when relevant:

  • lazyfree

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