How to Measure Change Failure Rate

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

What is Change Failure Rate?

Change failure rate is a percentage that represents how often deployments result in failure, leading to a change that needs to be made. This is a DevOps metric that allows teams to visualize inefficiencies in their current flow and consider how these changes might result in downtime with a product or service. The end goal of any development project is to deploy a stable product in a timely manner, but that can become difficult to balance. Learning about what your change failure rate looks like can highlight a need to slow down or make other changes in order to increase product stability and reduce downtime as a result of patches or other fixes needed.

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How to calculate Change Failure Rate

Change failure rates only require that you know the number of deployments that lead to failures and the total number of deployments. You’ll just divide the number of failures with the total. For example, if you’ve done 10 deployments in a given time and 2 resulted in failure, you would divide 2 by 10, giving you 20%.

Other KPIs to measure related to Change Failure Rate

  • Lead Time For Changes
  • Mean Time Between Failure
  • Error Rate
  • Online Application Performance
  • Cost of New Development
  • Automated Test Pass Percentage
  • Response Times
  • Downtime
  • Build Time

Why build a dashboard for Change Failure Rate?

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How to use Metabase to measure Change Failure Rate

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