Have you had practical experience in developing and supporting high-load systems?

When developing high-load systems, it is important to consider scalability, resource optimization, and fault tolerance. In my experience, I have worked with Python applications where I used:

• Caching (e.g., Redis) to reduce database load.
• Asynchronous approaches (asyncio, aiohttp) for handling a large number of concurrent requests.
• Load balancing and horizontal scaling using containerization (Docker) and orchestration (Kubernetes).
• Monitoring and logging for timely problem detection.

For example, in one project, we optimized request processing by converting some synchronous operations to asynchronous, which allowed us to increase the service throughput several times.