Redis Caching Strategies: Speed Up Your Applications with In-Memory Data

Redis can reduce database load by 90% and cut response times to milliseconds.

Cache-Aside Pattern

def get_user(user_id):
    cached = r.get(f"user:{user_id}")
    if cached:
        return json.loads(cached)
    user = db.query("SELECT * FROM users WHERE id = %s", user_id)
    r.setex(f"user:{user_id}", 3600, json.dumps(user))
    return user

Write-Through

def update_user(user_id, data):
    db.execute("UPDATE users SET name=%s WHERE id=%s", data["name"], user_id)
    r.setex(f"user:{user_id}", 3600, json.dumps(data))

Cache Invalidation

r.setex("product:123", 300, data)

def on_product_update(product_id):
    r.delete(f"product:{product_id}")

Session Storage

r.hset(f"session:{sid}", mapping={"user_id": 123, "role": "admin"})
r.expire(f"session:{sid}", 86400)

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