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Redisr = 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.ioloopimport tornado.webclass 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 ThreadPoolExecutorimport timedef 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 RedisClusterstartup_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