Caching Strategy Designer

ПродвинутыйdevelopmentМинимальный контекст: 16K

Designs caching strategies across the stack to cut latency and load. Chooses cache layers (browser, CDN, application, database), picks patterns (cache-aside, read-through, write-through, write-behind), sets TTLs and eviction policies, and plans invalidation to avoid staleness and stampedes. Produces a layered plan with keys, TTLs, and invalidation rules.

cachingperformancerediscdnscalability

Варианты использования

  • Designing a multi-layer caching plan for a read-heavy API
  • Choosing between cache-aside and read-through patterns
  • Planning invalidation to prevent stale data and stampedes
  • Setting TTLs and eviction policies for a Redis cache

Пример промпта

Design a caching strategy for a product catalog API.

Context: read-heavy, data updated a few times per hour, Redis + a CDN available.

Deliver:
1. Which layers to cache at (CDN, app, DB) and why
2. Pattern per layer (cache-aside, read-through, etc.) with trade-offs
3. Key naming scheme, TTLs, and eviction policy
4. Invalidation approach on updates, including how to prevent cache stampedes
5. Metrics to track (hit ratio, staleness) to validate the design

Рекомендуемые модели

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Совместимые инструменты

claude-codecursorkiroany

Модальности

Вход: text, code
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Выход: text, code

Похожие Skills

performance-optimizationdatabase-query-optimizersystem-design

Автор

OpenModels Community

@openmodelsrun