Handling Concurrent Requests with Flask and Gunicorn in Python 3.10
Does anyone know how to I'm stuck trying to I've been working on this all day and I need some guidance on I'm trying to debug Quick question that's been bugging me - Quick question that's been bugging me - I'm currently developing a REST API using Flask and deploying it with Gunicorn. I have noticed that when I'm sending multiple concurrent requests to my API, the performance seems to degrade significantly, and occasionally I receive a `502 Bad Gateway` behavior response. I suspect this might be related to how the application is handling concurrency, but Iām not sure how to approach this scenario effectively. My Flask app looks something like this: ```python from flask import Flask, jsonify import time app = Flask(__name__) @app.route('/process', methods=['POST']) def process(): time.sleep(5) # Simulate a long processing task return jsonify({'status': 'completed'}) if __name__ == '__main__': app.run() ``` When I run the app with Gunicorn like so: ```bash gunicorn -w 4 -b 0.0.0.0:8000 app:app ``` I'm using 4 worker processes, but I still see slow responses when I hit the `/process` endpoint with multiple requests at once. I have tried increasing the number of workers to 8, but that didn't seem to help much. Also, I have set the `timeout` option to 60 seconds in my Gunicorn configuration, but the `502` behavior still occurs, especially when testing under heavy loads. I think I might be running into an scenario with blocking calls in my Flask app. Would switching to an asynchronous approach with Flask or using a message queue like Celery be advisable? Any insights on best practices for handling such scenarios would be greatly appreciated! Thanks in advance! My development environment is macOS. Is there a better approach? This is happening in both development and production on Debian. For context: I'm using Python on CentOS. Thanks in advance! This issue appeared after updating to Python 3.11. Thanks in advance! I'm open to any suggestions. I'm using Python LTS in this project. Any feedback is welcome!