Caching Module

A Caching Module stores frequently accessed data in fast-access layers like Redis or in-memory to reduce database load and improve response times.

It implements strategies like LRU, TTL, and cache-aside patterns.

Implement Caching when:

• Experiencing high read traffic on databases.
• Optimizing API latency for user-facing endpoints.
• Handling expensive computations or external API calls.
• Scaling read-heavy workloads horizontally.

Note: Use Redis for distributed caching in microservices.

Implement cache warming for cold starts.

Monitor hit ratios (>80% ideal) and tune accordingly.