Backend Development: How Can I Optimize My Python Flask API for Better Performance?

Backend Developer Forum Backend Questions/Help
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I’m presently working on a backend development project to build a RESTful API using Python and Flask. The Scaler backend developer site has been my primary source of assistance, however as the amount of API queries rises, I’ve observed a deterioration in performance. Especially during times of high usage, the response times are slower than I would want them to be.

Here’s a simplified version of my Flask API code:

from flask import Flask, jsonify

app = Flask(__name__)

# Sample data
data = [
    {"id": 1, "name": "Product A", "price": 10.99},
    {"id": 2, "name": "Product B", "price": 15.99},
    # More data entries...
]

@app.route('/api/products', methods=['GET'])
def get_all_products():
    return jsonify(data)

if __name__ == '__main__':
    app.run(debug=True)

I believe there are optimizations I can make to improve the performance of my Flask API, but I’m not sure where to start. Could someone please review my code and suggest best practices or modifications that can help me achieve better response times, especially as the number of API requests increases? Thank you!

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