Optimize memory usage in high-performance applications by implementing explicit memory management techniques. This includes:

1. Configure cache limits to prevent excessive memory consumption:

   # Set appropriate cache size limits for database operations
   def _configure_cache(self):
    with self.conn:
        self.conn.execute(f'PRAGMA cache_size = {-self.cache_size}')
   

2. Use context managers for garbage collection when processing large datasets:

   @contextmanager
   def force_gc(disable_gc=False):
    if disable_gc:
        gc.disable()
    try:
        yield
    finally:
        gc.collect()
    if disable_gc:
        gc.enable()
   

3. Process data in streams rather than loading everything into memory at once: ```python

   Instead of:

   all_findings.extend(findings)

   And then processing all findings at once

Prefer streaming approach:

for finding in findings: process_and_write_to_file(finding) ```

These techniques are particularly important for long-running processes, applications handling large datasets, or systems with limited resources.