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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 medium

Implement a Multi-Level Cache with L1 Memory and L2 Redis in Python

This code implements a simple multi-level cache with an in-process L1 cache (via functools.lru_cache) and a mock Redis L2 cache with TTL, falling back to a slow computation on misses.

cache redis lru_cache
Python 
import time
from functools import lru_cache


class MockRedis:
    def __init__(self):
        self.store = {}

    def get(self, key):
        return self.store.get(key, None)

    def set(self, key, value, ttl=5):
        self.store[key] = (value, time.time() + ttl)

    def get_ttl(self, key):
        value, expiry…
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