Instead of having a settings_production.py file checked into Git, your code should look for: DATABASE_URL = os.environ.get('DATABASE_URL')
The most robust way to manage production-settings is via . Following the 12-Factor App methodology, your code should be agnostic of its environment.
In development, convenience is king. You want verbose error logs, open ports, and easy access. In production, every convenience is a potential vulnerability. production-settings
Ensuring cookies are only sent over encrypted connections ( SESSION_COOKIE_SECURE = True ).
Switch from DEBUG logging to INFO or WARNING to save disk space and reduce noise. However, ensure you are using a structured logging format (like JSON) so that tools like ELK or Datadog can easily parse them. Instead of having a settings_production
Never hardcode secrets. Production settings should pull credentials from secure environment variables or a dedicated vault (like AWS Secrets Manager or HashiCorp Vault). 2. Performance and Scalability Tuning
A production environment handles traffic that would crush a local machine. Settings must be tuned to manage resources efficiently. You want verbose error logs, open ports, and easy access
Tells browsers to only interact with you via HTTPS.