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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SKILL.md
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-lrufor general caches,volatile-lrufor mixed persistent/ephemeral data. Monitor hit rate and evictions. - Avoid slow or unbounded commands in hot paths; prefer
SCANoverKEYSandUNLINKoverDELfor large-key deletion.lazyfreesettings 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
HSETfor 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
KEYSin app paths: useSCANor 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
Files
4- SKILL.md
db9e11405c2.2 KB - evals/evals.json
473c9d684b2.3 KB - references/best-practices.md
81b72d131f2.7 KB - references/checklist.md
cf15f869471.6 KB
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