What was your RPS and how did you handle the load?

RPS (requests per second) depends on the specific project and infrastructure. For example, in one project, the load reached 5000 RPS. To handle such a load, the following approaches were used:

• Using asynchronous programming (asyncio, aiohttp) to handle a large number of concurrent requests.
• Caching frequently requested data (e.g., using Redis) to reduce database load.
• Horizontal scaling: running multiple instances of the service behind a load balancer.
• Optimizing database queries and using indexes.
• Monitoring and automatic scaling during peak loads.

Example of using asyncio to handle requests:

import asyncio

async def handle_request(request):
    # handle request
    await asyncio.sleep(0.01)  # simulate asynchronous operation
    return "response"

async def main():
    tasks = [handle_request(i) for i in range(5000)]
    responses = await asyncio.gather(*tasks)

asyncio.run(main())