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Explain distributed caching.

Senior Microservices
Quick Answer Distributed caching stores shared data that multiple services read frequently. Redis is the standard choice. Cache-aside pattern: service checks cache first, on miss reads from DB and populates cache. Write-through: write to cache and DB together. Set appropriate TTLs to prevent stale data. Cache warm-up on startup for critical data. Monitor cache hit rate - low hit rate wastes the cache.

Answer

Shared cache across multiple service instances improves performance.
Reduces DB load and speeds response times.
Tools: Redis, Memcached.
S
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