How can I monitor the effectiveness of rate limiting in my API?
An example of an AI chatbot conversation about monitoring rate limiting effectiveness in APIs.
How can I monitor the effectiveness of rate limiting in my API?
You can monitor rate limiting effectiveness by tracking metrics like request counts, response times, and error rates.
What specific metrics should I focus on?
Focus on metrics such as the number of requests per user, the rate of rejected requests, and the average response time.
How can I visualize these metrics?
You can use tools like Grafana or Kibana to create dashboards that visualize these metrics in real-time.
Are there any common pitfalls to avoid?
Yes, avoid setting rate limits too low, which can frustrate users, and ensure your monitoring tools are properly configured.
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