Quick Answer
Caching for performance: Redis as a distributed cache shared across service instances. Cache database query results, computed values, and external API responses with appropriate TTLs. CDN caches static assets and API responses at the edge (near users). Application-level caching for in-process hot data. Monitor cache hit rates. Cache invalidation is hard - use TTLs as safety net against stale data.
Answer
Caching reduces DB load and improves response times. Types: In-memory (Redis, Memcached) or distributed. Challenges: Expiration, invalidation, consistency.
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SugharaIQ Editorial Team
Verified Answer
This answer has been peer-reviewed by industry experts holding senior engineering roles to ensure technical accuracy and relevance for modern interview standards.
