API Rate Limiting &
Throttling

We analyze your current request patterns, peak loads, and the endpoints most at risk of abuse. This tells us where limits genuinely belong and what thresholds protect capacity without frustrating real users.

We choose the right algorithm — token bucket for smooth bursts, sliding window for strict fairness — and map limits to your plan tiers. Read and write endpoints get separate budgets so a heavy report query never starves a checkout call.

We implement counters in Redis or your gateway so limits stay consistent across every node, not just one server. Atomic operations and Lua scripts prevent the race conditions that let abusers slip past naive counters.

We return proper 429 status codes with Retry-After and the standard RateLimit headers, plus clear error bodies. Well-behaved clients back off automatically, which protects you far better than silent drops.

We wire up dashboards and alerts so you can see who is hitting limits and why. Thresholds are tuned with real data after launch, because the right limit is the one your traffic reveals, not the one guessed up front.

We roll limits out gradually, often in a monitor-only mode first, so no legitimate integration breaks on day one. Consumers get documentation on their quotas, headers, and how to request higher tiers.