rate-limiting-throttling-strategy

Design rate limiting and throttling strategies by applying configurable traffic profiles across global, per-tenant, per-user, and per-endpoint scopes. Specify algorithm choices like token bucket or sliding window alongside enforcement layers to prevent service overload.

Implement backpressure by configuring bulkhead and circuit breaker patterns to protect downstream services. This approach isolates failing components and stops cascading failures, ensuring system stability during traffic spikes.

Enforce clear response contracts using standard 429 headers and Retry-After guidance. Configure tier quotas and response specifications at the edge and service layers to communicate limits to clients effectively.

Choose between token bucket, leaky bucket, sliding window, fixed window, and concurrency algorithms based on your SLOs. Token bucket handles bursts, while sliding window provides smoother traffic shaping for strict concurrency control.

Configure per-tenant rate limits by defining distinct traffic profiles and tier quotas. Apply these policies across per-API-key and per-endpoint scopes to enforce differentiated access levels and SLOs.

Specify observability requirements alongside concurrency limits and circuit breaker rules to monitor traffic profiles. Tracking these metrics ensures your throttling strategies effectively prevent overload and maintain SLO compliance.