Reliability metrics
In the previous sections, you learned about the measurement of infrastructure performance and usage. Monitoring usage metrics helps to improve the reliability of an API by providing insights into how the API is being used and identifying potential issues or areas for improvement.
By tracking metrics such as the RPM, error rate, response time, and concurrent connections, you can identify patterns of usage and identify potential issues—such as high error rates, slow response times, or high concurrent connections—that may indicate that the API is not performing well or is being overloaded.
For example, if the error rate is high, it can indicate that there is a problem with the code, configuration, or infrastructure of the API. By identifying the cause of the errors, you can take steps to fix the problem and improve the reliability of the API.
By monitoring the response time, you can identify potential bottlenecks or issues with the API, such...
