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performance

Rate limiting and caching strategy for backend services.

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SebastianLuser/claude-code-arcane3 stars(GitHub 3 + cccskills 0)
Works withRedis

Run score Not tested

See how to install

Files included (4)

  • SKILL.md1.6 KB
  • references/anti-patterns.md631 B
  • references/cache-strategy.md1.6 KB
  • references/rate-limit-config.md1.9 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

performance — Rate Limiting & Caching Strategy

Stack: Fastify + Prisma + PostgreSQL + Redis + Zod + TypeScript.

RATE LIMITING

Default algorithm: Sliding Window Counter. Three tiers required: CDN/WAF, API Gateway, App Middleware (Redis). Use rate-limiter-flexible with Redis.

→ Read references/rate-limit-config.md for algorithm comparison, implementation tiers, recommended limits per endpoint, key dimensions, response headers, and failure modes

CACHING

Rule Zero: Before caching, profile. Caching hides problems a database index would solve. Default pattern: cache-aside. Default invalidation: short TTL.

→ Read references/cache-strategy.md for cache layer decision table, TTL strategy, patterns, stampede prevention, HTTP headers, and Redis key conventions

ANTI-PATTERNS

→ Read references/anti-patterns.md for rate limiting (7 items) and caching (11 items) anti-patterns

Checklist

  • Algorithm matches use case; all three tiers covered
  • Keys include user dimension; RateLimit-* headers + Retry-After on 429
  • Fail-open default, fail-closed for sensitive endpoints
  • Cache justified by profiling; TTL has explicit rationale
  • Invalidation strategy documented; stampede protection on hot paths
  • App works when Redis is down; hit/miss/eviction metrics exported
  • Redis key naming follows domain:entity:id:variant convention

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