How do we profile memory, CPU load for flask API's on runtime?

How about (see: https://pypi.org/project/memory_profiler/) :

import loggingfrom flask import Flask, jsonifyfrom flask_cors import CORSimport memory_profiler as mp   # <----logger = logging.getLogger()formatter = logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - "                      "%(name)s:%(lineno)d [-] %(funcName)s- %(message)s")logger.setLevel(logging.INFO)app = Flask(__name__)app.url_map.strict_slashes = FalseCORS(app)@mp.profiledef health_check():   return jsonify({"message": "success"})app.add_url_rule(rule='/health', endpoint='health-check',     view_func=health_check, methods=['GET'])if __name__ == '__main__':    app.run(debug=True, host='0.0.0.0', port=500)

Gives:

 * Running on http://0.0.0.0:5001/ (Press CTRL+C to quit) * Restarting with stat * Debugger is active! * Debugger pin code: 187-502-207Filename: mp.pyLine #    Mem usage    Increment   Line Contents================================================    17     40.0 MiB     40.0 MiB   @mp.profile    18                             def health_check():    19     40.0 MiB      0.0 MiB      return jsonify({"message": "success"})127.0.0.1 - - [04/Jul/2018 11:01:15] "GET /health HTTP/1.1" 200 -