You want to deploy a Flask app with Gunicorn on a server with 4 CPU cores. Which Gunicorn configuration is best to maximize performance without overloading the server?

hard📝 Application Q15 of 15

Flask - Performance Optimization

ARun Gunicorn with 8 workers and bind to 0.0.0.0:80

BRun Gunicorn with 1 worker and bind to 0.0.0.0:5000

CRun Gunicorn with 2 workers and bind to 0.0.0.0:8080

DRun Gunicorn with 4 workers and bind to 127.0.0.1:8000 behind a reverse proxy

Step-by-Step Solution

Solution:

Step 1: Match workers to CPU cores
Best practice is to run Gunicorn with number of workers equal to CPU cores (4 here) for optimal concurrency.
Step 2: Bind to localhost and use reverse proxy
Binding to 127.0.0.1:8000 and placing a reverse proxy (like Nginx) in front is a common production setup for security and performance.
Final Answer:
Run Gunicorn with 4 workers and bind to 127.0.0.1:8000 behind a reverse proxy -> Option D
Quick Check:
Workers = CPU cores, bind localhost + proxy = C [OK]

Quick Trick: Match workers to CPU cores; use localhost bind with reverse proxy [OK]

Common Mistakes:

MISTAKES

Using too many workers causing overload
Binding directly to port 80 without proxy
Using too few workers limiting performance

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You want to deploy a Flask app with Gunicorn on a server with 4 CPU cores. Which Gunicorn configuration is best to maximize performance without overloading the server?

Step 1: Match workers to CPU cores

Step 2: Bind to localhost and use reverse proxy

Final Answer:

Quick Check:

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