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To rate-limit an API without blocking legitimate users, choose a trustworthy counting identity, apply limits at the scope and routes that match the risk, allow normal short bursts, and tune the policy against real traffic. Return HTTP 429 when a request exceeds its limit, and give clients a retry time when you can estimate one.
Start with what the limit is meant to protect
Decide whether a rule protects overall service capacity, a costly endpoint, a sensitive action such as authentication, or a customer’s quota. Those goals are related but not interchangeable: a service-wide ceiling can protect infrastructure without ensuring that one customer does not consume most of the available capacity.
Use the narrowest practical scope for the objective. A policy for a costly route can be more relevant than one shared by every endpoint; a customer quota needs a dependable customer identity. More specific policies can improve targeting, but they also add configuration and monitoring work.
Choose an enforcement point
Rate limits can be enforced in application middleware, an API gateway, or a web application firewall (WAF). Before relying on a control, check what it counts, what scope it covers, how it handles bursts, and whether other limits apply upstream. A gateway’s configured throttle may be a best-effort target rather than a guaranteed hard ceiling.
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For example, Amazon API Gateway documents throttling at account, API or stage, method, and client usage-plan levels. Its REST API controls are applied in a documented order, so a client-level policy should not be treated as independent of broader limits. See AWS API Gateway REST API throttling and HTTP API throttling.
Choose a counting identity that represents the caller
The counting key determines who shares a limit. For authenticated API traffic, a validated API key, customer identifier, or authenticated token claim can distinguish clients more accurately than an IP address. Do not trust a caller-provided header as an identity unless your service validates it and callers cannot freely spoof it.
An IP address can still help control unauthenticated abuse, but it is a poor stand-in for one person or customer: many unrelated users may share an address through network address translation (NAT). Cloudflare specifically warns that IP-based counters can cause false positives in high-traffic NAT environments. Consider IP as a supplementary signal rather than the sole customer-quota key when shared networks are likely. See Cloudflare rate-limiting parameters.
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A User-Agent string generally identifies a client type, not an individual customer. It may be useful as a matching condition for a specific security rule, but it is not a substitute for authenticated identity in a customer quota.
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Separate policies for different routes
Routes can differ in compute cost and abuse risk. A read-only lookup, a login attempt, and a resource-intensive report need not share one threshold. Define rules around the operation being protected, then decide whether the counter should be per client, per route, or both. Cloudflare’s WAF documentation describes rules matching specific endpoints and illustrates counting authenticated traffic by an API-key header. See Cloudflare rate-limiting best practices.
Allow ordinary bursts without allowing sustained overload
A rate policy needs to account for both sustained throughput and short spikes. A token bucket does this by replenishing tokens at a configured rate while limiting how many can accumulate; its capacity determines how much burst traffic can pass. This can accommodate a client making a brief cluster of requests while still controlling its longer-term rate.
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Amazon API Gateway uses token-bucket throttling and describes configured rate and burst values as best-effort targets, not guaranteed hard ceilings. Treat platform settings accordingly, and verify the algorithm and burst semantics of the system you use. AWS explains this in its HTTP API throttling documentation.
If work can be completed asynchronously, buffering can smooth demand instead of rejecting every temporary spike. AWS Well-Architected guidance gives Amazon SQS and Kinesis as examples. Buffering is appropriate only when the API’s contract allows deferred processing; it cannot replace an immediate synchronous result when the caller needs one. See AWS Well-Architected guidance on throttling requests.
Compare the policy choices before deployment
| Decision | Useful options | What to check |
|---|---|---|
| Counter identity | IP address; validated API key or authenticated client identity; validated token claim | Can unrelated users share the identity? Can a caller spoof it? Is it available on the routes being protected? |
| Scope | Service or account; API or stage; route or method; individual client | Does the scope match the resource or customer quota? Could a broader limit still affect this traffic? |
| Traffic shape | A fixed-window policy or a burst-capable method such as token bucket | How are windows and bursts defined? Does the platform describe its values as best-effort? |
| Enforcement location | Application middleware; API gateway; WAF | What does it count, which rules take precedence, and are there additional upstream limits? |
| Recovery behavior | HTTP 429; optional Retry-After; client backoff; asynchronous buffering where suitable | Can clients understand when to retry? Does the API actually permit deferred work? |
Return a response clients can act on
Use HTTP 429 Too Many Requests when rejecting a request because it exceeded the applicable rate limit. A server may include a Retry-After header to indicate when the client can try again; do not assume every 429 response includes it. Cloudflare documents its own exceeded-limit behavior, including a seconds-based value in its API documentation, but that is a vendor-specific example rather than a universal contract. See Cloudflare’s explanation of error 429 and Cloudflare API limits.
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Clients should respect the response rather than retry immediately and recreate the load that triggered the limit. For repeated throttling errors, increasing the delay between retries is a useful client-side backoff approach; AWS’s security guidance recommends increasing backoff intervals. Keep retry behavior separate from the server’s rate policy: a server sets what it will accept, while a client decides how to recover.
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Use observed traffic and endpoint costs
Set initial thresholds using traffic observations, the service’s capacity, and the actual cost of each operation, rather than copying a generic requests-per-second number. Review which identities and requests are being counted, including customer batch jobs, synchronized workloads, and legitimate cohorts sharing an IP. Cloudflare recommends using traffic-informed values, including API Discovery data where available, in its rate-limiting best practices.
Make the counter match the threat
For some abuse cases, count only particular responses instead of every request. Cloudflare gives failed 401 or 403 responses as examples of response-based counting that can avoid applying a limit to valid submissions. This is a threat-specific option, not a universal rule: select response classes based on the behavior you are trying to control.
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Review and adjust deliberately
Monitor which clients are limited and whether rejected traffic corresponds to the behavior the rule was intended to stop. Adjust thresholds or scope when legitimate traffic is affected, and provide a way to review quota changes for known customers if product policy allows it. The available adjustment path depends on the service and plan: AWS says account throttles can be increased by request, and Cloudflare describes support contact for some Enterprise limits. Check current vendor terms before relying on either option.
Keep vendor limits separate from your own recommendations
Cloudflare’s published limits illustrate why provider-specific numbers should not be copied as general API guidance: its cited page lists a global Cloudflare API limit of 1,200 requests per five-minute period per user and a per-IP limit of 200 requests per second. Those are operational limits for Cloudflare’s own API, not recommended thresholds for another service. See Cloudflare API limits.
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