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4 courses
52 practices
7 hours
Learn to secure your Python REST API by implementing rate limiting, request throttling, CORS configuration, and robust refresh token management to prevent abuse and enhance application security.
Master rate limiting in FastAPI to prevent API abuse. Implement global limits, per-user quotas, role-based throttling, and Redis persistence for secure, scalable REST APIs.
Throttling manages high request volumes by slowing down requests instead of blocking them. Unlike rate limiting, which rejects excess requests, throttling adds delays when thresholds are exceeded. This keeps your API responsive and stable during traffic spikes.
Enabling & Customizing CORS in Your Python REST API
4 lessons
10 practices
Modern web apps often need to fetch resources from different domains. CORS defines how servers declare which origins can make requests. By default, browsers block cross-origin requests, so you'll configure your FastAPI server to respond with the necessary headers.
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