Best Practices for Rate Limiting and Spike Arrest in Apigee
Ananth Thangaraj
Technical Contributor & Architect
Executive Summary
Understand the differences between Quota, RateLimit, and SpikeArrest policies in Apigee to protect downstream backends from traffic spikes and DDoS attacks.
Protecting Infrastructure Against Traffic Spikes
API Gateways serve as the front line of defense for backend services. Configuring proper traffic management prevents server overload and ensures fair resource distribution.
SpikeArrest vs. Quota Policy Comparison
| Feature | SpikeArrest Policy | Quota Policy |
|---|---|---|
| Purpose | Guard against sudden micro-bursts | Enforce business contracts & limits |
| Time Windows | Per-second / per-minute smoothing | Hourly, daily, monthly billing cycles |
| Counter Storage | In-memory node counter | Distributed Datastore / Redis |
| Failure Response | 429 Too Many Requests (Immediate) |
429 Too Many Requests (Quota Exceeded) |
SpikeArrest Configuration Example
<SpikeArrest name="Spike-Arrest-100pm">
<Rate>100pm</Rate>
<UseEffectiveCount>true</UseEffectiveCount>
</SpikeArrest>
When setting 100pm (100 per minute), Apigee smooths execution to approximately 1 request every 600ms.
Ananth Thangaraj
Community Architect and Technical Writer specializing in Google Cloud Apigee X, OpenAPI 3.0, and enterprise API gateways.
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