What solutions would you suggest when system load increases?

When the system load increases, the following solutions can be applied:

• Scaling:

  • Vertical — increasing resources of a single server (CPU, RAM).
  • Horizontal — adding new servers or nodes.

• Code and algorithm optimization — improving data processing efficiency, reducing response time.

• Caching — storing frequently requested data in memory for quick access.

• Load balancing — distributing requests among multiple servers.

• Asynchronous processing and task queues — offloading main threads, processing data in the background.

• Using specialized tools — for example, distributed databases, streaming processing systems (Kafka, Spark).

• Monitoring and profiling — identifying bottlenecks and responding promptly.

Example: if an ML model processes a large number of requests, a task queue can be used for asynchronous processing, caching prediction results, and scaling services horizontally.