Error rate is the frequency of errors that occur within an API or an application. It provides insights about the reliability and quality of the application. The lower error rate means, a more dependable and accurate service/ performance of an application.
It is measured in terms of the percentage of the total number of errors in a total number of operations or events.
For example, an application that takes 100ms and returns 500 records with 5 errors results in an error rate of 1%.
The rate of errors may increase when the application has high throughput, unhandled scenario, unexpected inputs or other reasons.
In case you’re interested to read more about it, check out this blog by Doctor Droid team.
Teams also setup error budgets often to define thresholds that are within acceptable limits. You can read more about Error Budget here
Doctor Droid is a platform to enable teams to monitor critical business and operational KPIs in real-time, helping improve business monitoring.
Our team has deep experience in helping companies set up their observability stack, so if you need any assistance in setting up your observability stack, we are happy to assist. You can reach out to us, here.
