__init___METRICS.md

{filename}_METRICS.md

Performance Targets

Response Times

Operation	Target	Critical Threshold
Function Call	< 10ms	> 100ms
File I/O	< 50ms	> 500ms
Memory Operation	< 1ms	> 10ms

Resource Usage

Metric	Target	Warning	Critical
Memory per Instance	< 10MB	50MB	100MB
CPU Usage	< 5%	20%	50%
Disk I/O	< 1MB/s	10MB/s	50MB/s

Benchmarking

Basic Timing

import time

start = time.time()
result = function_to_benchmark()
elapsed = time.time() - start

print(f"Elapsed: {elapsed*1000:.1f}ms")

Memory Profiling

from memory_profiler import profile

@profile
def function_to_profile():
    # Your code here
    pass

Optimization Checklist

• Profile before optimizing
• Use appropriate data structures
• Minimize I/O operations
• Cache repeated calculations
• Use lazy loading where possible