Day 18 — Migrating Django Rate Limiting to Redis (Production Architecture)

Today I moved my Django REST API from in-memory throttling to Redis-based rate limiting.

Why?

Because in-memory rate limiting (LocMemCache):
Breaks in multi-instance deployments
Doesn’t scale horizontally
Is not production-safe

What I implemented:

✅ Redis-based Rate Limiter
Atomic counters
Plan-based limits
24-hour TTL
Proper 429 response handling
Usage tracking even on failures

Remaining requests exposed via header

✅ Clean Architecture
Removed legacy limiter file
Removed duplicate imports
Centralized rate limiting logic
Clean exception handling using DRF Throttled

✅ Observability
Usage logging for 200 / 400 / 429 responses
Redis debug endpoint for monitoring rate keys
Ready for SaaS analytics layer

Now the backend is:
Horizontally scalable
Cloud-ready
Production-safe
Clean and maintainable

This is how you build infrastructure before UI.
Next step: more backend hardening before moving to interface.