Securing Your Rest API Application With Python

Overview

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.

Syllabus

Course 1: Implementing Rate Limiting
Course 2: Throttling API Requests
Course 3: Enabling & Customizing CORS in Your Python REST API
Course 4: Secure Token Lifecycle and Refresh Rotation in FastAPI

Courses

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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.
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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.
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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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Learn production-ready token security in FastAPI. Implement refresh token rotation, theft detection, forced revocation, and context-aware validation for secure REST APIs.