In Python DevOps, how do I use caching?

Caching in Python DevOps is a technique used to store frequently accessed data in a temporary storage area, reducing the time needed to retrieve that data when it is needed again. By implementing caching, you can significantly improve application performance and decrease response times.

Example of Caching in Python

# Example of caching using the Flask-Caching library from flask import Flask from flask_caching import Cache app = Flask(__name__) cache = Cache(app, config={'CACHE_TYPE': 'simple'}) @cache.cached(timeout=50) @app.route('/data') def get_data(): # Simulating a time-consuming operation return "Data retrieved from a cache!" if __name__ == '__main__': app.run()

Caching Python DevOps Flask-Caching Performance Efficiency

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