Learn FLASK-RESTFUL with Real Code Examples

Use production server like Gunicorn or uWSGI

Enable caching for frequently accessed endpoints

Avoid heavy blocking tasks in request handlers

Consider async routes in Flask 2.x for I/O-heavy operations

Use database connection pooling for efficiency

Sanitize and validate all inputs

Implement authentication and authorization

Use HTTPS in production

Protect against common web vulnerabilities (XSS, CSRF, SQL injection)

Keep dependencies updated and secure

Flask logs for request and error tracking

Integrate with Prometheus or Grafana for metrics

Use Sentry or Rollbar for error reporting

Monitor database and cache usage

Track API usage for performance optimization

Follow PEP8 and Python best practices

Unit and integration testing for resources

Use code linters and formatters

Keep resources modular and reusable

Document endpoints and request/response schema