What methods are used to maintain system response speed under high request volume?

The following methods are used to maintain high system response speed under a large volume of requests:

• Asynchronous processing: using non-blocking calls and asynchronous libraries (e.g., asyncio in Python) allows handling multiple requests in parallel.
• Caching: storing frequently requested data in memory or a fast storage to reduce database load and speed up responses.
• Load balancing: distributing requests among multiple servers or processes for even resource utilization.
• Query and algorithm optimization: reducing processing time for each request by improving code and data structures.
• Using message queues: for processing heavy tasks in the background, freeing the main thread for quick responses.

Example of an asynchronous server in Python using asyncio:

import asyncio

async def handle_client(reader, writer):
    data = await reader.read(100)
    message = data.decode()
    writer.write(data)
    await writer.drain()
    writer.close()

async def main():
    server = await asyncio.start_server(handle_client, '127.0.0.1', 8888)
    async with server:
        await server.serve_forever()

asyncio.run(main())