What is Laravel memory optimization strategy for large-scale applications?

Memory optimization in Laravel focuses on reducing object allocation, using chunking, and avoiding memory leaks in long-running processes.

Large-scale Laravel applications must carefully manage memory usage, especially in queue workers, Octane, and data-heavy jobs. Techniques include using cursor() instead of get(), chunking large datasets, avoiding loading entire collections into memory, and cleaning up variables explicitly. Long-running processes must avoid retaining references unintentionally. PHP garbage collection must be considered in combination with Laravel's lifecycle.