How to Measure Error Rate

Learn about Error Rate, including how to measure it, and leverage it in dashboards and visualizations with Metabase.

What is Error Rate?

An error rate is how many times a request fails in a given period of time. The purpose of knowing error rates is to determine the efficiency of a web application. Identifying error rates can help DevOps discover efficiency issues and problems that require intervention before launching a product or patch. It can also help your dev teams look at how they’re doing overall in terms of optimization. Error rates are generally used in testing using something like Azure, so you likely won’t see error rates used after the fact unless it’s being used in diagnostics. It’s an essential metric for learning more about how efficient a program is.

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How to calculate Error Rate

Error rate is represented in a percentage, and can be calculated by taking the total number of failed requests and dividing it by the number of requests total. This’ll be for a pre-determined amount of time, like 1 minute, 10 minutes etc. For example, if you send 100 requests per minute and 50 of them fail, that’s a 50% error rate. That would be considered horrible and can be an indication of a major error happening that requires immediate attention.

Other KPIs to measure related to Error Rate

  • Cost of New Development
  • Mean Time Between Failure
  • Online Application Performance
  • Time to Value
  • Build Time
  • Recovery Point Objective
  • Downtime
  • Bug Count
  • Automated Test Pass Percentage

Why build a dashboard for Error Rate?

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How to use Metabase to measure Error Rate

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