To set the threshold for abnormal API traffic control, you need to define specific metrics and limits based on your application's expected usage patterns. Here's how to approach it:
- Identify Key Metrics: Determine which metrics to monitor, such as request rate (requests per second), error rate, or concurrent connections.
- Baseline Normal Traffic: Analyze historical data to establish normal traffic patterns. For example, if your API typically receives 1,000 requests per minute during peak hours, this becomes your baseline.
- Set Thresholds: Define upper and lower limits for each metric. For instance:
- Request rate: Trigger an alert if requests exceed 2,000 per minute (double the baseline).
- Error rate: Flag anomalies if errors surpass 5% of total requests.
- Implement Rate Limiting: Use tools like API gateways or traffic management services to enforce thresholds. For example, if traffic spikes beyond the limit, you can throttle requests or return a
429 Too Many Requests response.
Example:
A payment API expects 500 transactions per minute. You set a threshold of 1,000 transactions per minute. If traffic exceeds this, the system temporarily blocks additional requests to prevent overload.
For cloud-based solutions, Tencent Cloud API Gateway provides built-in traffic control features, allowing you to configure request rate limits, quota management, and real-time monitoring to detect and mitigate abnormal traffic.