优化Python网站访问速度，实现高并发请求的架构解决方案。

import redis

# 连接Redis
r = redis.Redis(host='localhost', port=6379)

def get_data_from_cache(key):
    # 从缓存中获取数据
    data = r.get(key)
    if data:
        # 如果缓存中有数据，则直接返回
        return data

    # 缓存中没有数据，则从数据库中查询
    data = db.query(key)
    # 将查询结果存入缓存，并设置过期时间
    r.setex(key, 3600, data)
    return data

import tornado.ioloop
import tornado.web

class MainHandler(tornado.web.RequestHandler):
    async def get(self):
        # 使用异步IO处理请求
        response = await external_call()
        self.write(response)

def make_app():
    return tornado.web.Application([
        (r"/", MainHandler),
    ])

if __name__ == "__main__":
    app = make_app()
    app.listen(8888)
    tornado.ioloop.IOLoop.current().start()

from concurrent.futures import ThreadPoolExecutor
import time

def handle_request(request):
    # 处理请求
    time.sleep(1)   # 模拟处理请求的时间
    return "Response"

def process_requests(requests):
    # 使用线程池处理并发请求
    with ThreadPoolExecutor(max_workers=10) as executor:
        results = executor.map(handle_request, requests)
        return list(results)

requests = [request1, request2, request3]   # 并发请求列表
responses = process_requests(requests)

http {
    upstream backend {
        server backend1.example.com;
        server backend2.example.com;
    }

    server {
        listen 80;
        server_name example.com;

        location / {
            proxy_pass http://backend;
        }
    }
}

from rediscluster import RedisCluster

startup_nodes = [
    {"host": "127.0.0.1", "port": "7000"},
    {"host": "127.0.0.1", "port": "7001"},
    {"host": "127.0.0.1", "port": "7002"},
]

rc = RedisCluster(startup_nodes=startup_nodes)

def get_data_from_cache(key):
    # 从缓存中获取数据
    data = rc.get(key)
    if data:
        # 如果缓存中有数据，则直接返回
        return data

    # 缓存中没有数据，则从数据库中查询
    data = db.query(key)
    # 将查询结果存入缓存，并设置过期时间
    rc.setex(key, 3600, data)
    return data