API & Backend
Rate Limiting with FastAPI and Redis: Token Bucket & Sliding Window Defense
Protect your AI API endpoints from DDoS attacks, scraping bots, and cost spikes with distributed Redis sliding window rate limiters.
Why In-Memory Rate Limiters Fail in Production
In Kubernetes multi-pod environments, traffic is distributed across different instances. Without a centralized Redis store, per-pod in-memory limiters fail to enforce consistent rate limits across clients.
Related Technical Guides
Deepen your understanding with these closely related production architectures and tutorials:
Real-Time AI Streaming with FastAPI and Google Gemini API (SSE)
Learn how to build low-latency Server-Sent Events (SSE) streaming endpoints in FastAPI using the official Google GenAI SDK and structured tool calling.
LLM Structured Outputs: Zero-Error JSON Extraction with Pydantic v2, JSON Schema & Instructor
Guarantee 100% schema compliance from LLMs using Pydantic v2, grammar-constrained decoding, and the Instructor library without retry overhead.
FastAPI Async Architecture: Asyncio Event Loop & High-Concurrency Best Practices
Master async def vs sync def in FastAPI, avoid blocking the asyncio event loop, and handle tens of thousands of concurrent requests smoothly.