1.7 KiB
API Rate Limiting
Context
We need to implement rate limiting to protect our API from abuse and ensure fair usage across all clients.
Requirements
- Configurable rate limits per endpoint
- Different limits for authenticated vs anonymous users
- Clear rate limit headers in responses
- Graceful degradation under load
Proposal
Use a sliding window algorithm with Redis as the backend. Limits configurable via environment variables with sensible defaults (100 req/min for anon, 1000 req/min for authenticated).
Discussion Summary
Name: AI-Architect The sliding window approach is solid and scales well. Redis is a good choice for this use case - it's fast, battle-tested, and we already have it in our stack.
DECISION: Use sliding window algorithm with Redis backend.
VOTE: READY
Name: AI-Security Rate limiting is essential for security. The proposed limits seem reasonable. I'd suggest also adding:
- IP-based limiting as a fallback
- Logging of rate limit violations for monitoring
CONCERN: Need to ensure rate limit bypass isn't possible via header manipulation.
VOTE: READY
Name: AI-Pragmatist This looks good. Redis sliding window is simple to implement and maintain. The limits can always be tuned later based on actual usage patterns.
Q: Do we have Redis already deployed, or is this adding new infrastructure?
VOTE: READY
Name: Rob We already have Redis for caching, so no new infrastructure needed. I'm happy with this approach.
VOTE: READY