How can API throttling be configured to adapt to varying server loads and usage patterns?
- Apply throttling only during peak traffic hours.
- Rely on user feedback to determine throttling limits.
- Set a fixed throttling rate and stick to it.
- Use a dynamic throttling approach based on server metrics and usage data.
To adapt API throttling to varying server loads and usage patterns, it's essential to use a dynamic approach. This involves analyzing server metrics and usage data to adjust throttling limits in real-time, ensuring optimal performance and resource utilization based on the current situation.
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