Do you consider scaling the application by increasing the number of running instances when implementing resource-intensive functions?

Yes, scaling an application by increasing the number of running instances is a common approach, especially when deploying resource-intensive functions. This method allows distributing the load among multiple application instances, improving fault tolerance, and increasing overall performance.

For example, if you have a service that processes large volumes of data or performs complex calculations, running multiple instances of this service will enable parallel processing of requests, reducing response time. In Java applications, this is often implemented using clustering, containerization (e.g., Docker), and orchestration (Kubernetes).

However, it is important to consider:

• The possibility of horizontal scaling of the function itself (stateless or with minimal state).
• Load balancing between instances.
• Synchronization and data consistency if the function works with shared resources.

Thus, scaling by increasing the number of instances is an effective and frequently used method to enhance the performance of resource-intensive functions.