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Caching & Redis

Cache-aside, TTL, invalidation, hot keys, and in-memory lookup patterns at scale.

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Caching & Redis easy

How to Use lru_cache in Python for Cache-on-Miss Population

Demonstrates lru_cache to automatically populate cache on a miss and serve subsequent calls from cache, with cache info stats.

lru_cache caching functools
Python 
from functools import lru_cache

@lru_cache(maxsize=None)
def fetch_user(user_id):
    """Simulates a slow database fetch."""
    print(f"Cache miss: fetching user {user_id} from database")
    return {"id": user_id, "name": f"User {user_id}"}

if __name__ == "__main__":
    user = fetch_user(1)
    print(f"First call…
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