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March 17, 2026 · 1 min read

How would you design an API that efficiently manages caching of frequently accessed user profiles in Redis, considering cache invalidation strategies?

I would use a combination of time-based expiration and event-based invalidation. Each user profile would have a TTL (time to live) set to ensure stale data is removed. Additionally, I…

debmedia

SOFTWARE_ARCHITECT // AI_ENGINEER

📅 Mar 17, 2026 ⏱ 1 min read

HW

How would you design an API that efficiently manages caching of frequently accessed user profiles in Redis, considering cache invalidation strategies?

COVER // HOW WOULD YOU DESIGN AN API THAT EFFICIENTLY MANAGES CACHING OF FREQUENTLY ACCESSED USER PROFILES IN REDIS, CONSIDERING CACHE INVALIDATION STRATEGIES?

I would use a combination of time-based expiration and event-based invalidation. Each user profile would have a TTL (time to live) set to ensure stale data is removed. Additionally, I would listen for events that indicate a profile update to immediately invalidate the cache entry.

api-design caching performance redis

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