What methods can be used to reduce server load as its average load increases?

To reduce server load as its average utilization increases, the following methods can be used:

• Caching: store frequently requested data in memory or on disk to avoid performing heavy computations or database queries each time.
• Code optimization: profile and improve bottlenecks in the code, reduce the number of requests and operations.
• Load balancing: distribute requests among multiple servers.
• Asynchronous processing: use task queues and background processes for heavy operations.
• Data compression: reduce the volume of transmitted data.
• Limit the number of concurrent connections and use rate limiting.

Example of caching in Python using functools.lru_cache:

from functools import lru_cache

@lru_cache(maxsize=128)
def expensive_computation(x):
    # heavy function
    return x * x

result = expensive_computation(10)  # result will be cached