Flask - Performance Optimization
Why does Gunicorn recommend using multiple worker processes instead of threads for Flask apps in production?
Why does Gunicorn recommend using multiple worker processes instead of threads for Flask apps in production?
hard📝 Conceptual Q10 of 15
Step-by-Step Solution
Solution:
Step 1: Understand Python's GIL impact
The GIL allows only one thread to execute Python bytecode at a time, limiting thread concurrency.Step 2: Why multiple processes help
Multiple processes each have their own Python interpreter, bypassing the GIL and improving concurrency.Final Answer:
Because Python's Global Interpreter Lock (GIL) limits threads, multiple processes improve concurrency -> Option CQuick Check:
GIL limits threads, processes improve concurrency [OK]
Quick Trick: Multiple processes bypass Python's GIL for better concurrency [OK]
Common Mistakes:
MISTAKES- Thinking threads use less memory than processes
- Believing Gunicorn does not support threads
- Assuming debugging ease drives process choice
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