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DevOps Metrics: How to Use Them Correctly?

There are primarily four DevOps metrics that everyone swears by. Lead Time for Change, Deploy Frequency, Change Failure Rate, and Median Time to Restore (MTTR) are the popular parameters. However, you must learn to use them well before applying them. In this article at Hackernoon, George Guimarães shares tips to help you leverage DevOps metrics correctly.

Valuing DevOps Metrics

The real goal of any team is to bring value to its customers. It can be your perfect codebase or an efficient DevOps crew. So, story points are more about measuring your team’s performance, not the end-user response. Leaders are biased towards DevOps metrics because they provide better visibility into the project progress.

Perfecting Application

  • Lead Time to Change describes the time you took to introduce the reviewed code to the production prototype. However, a working feature is more valuable than mere feature flags. Instead of Lead Time to Change, measure Lead Time to Value. You can also use Mean Lead Time to Change to understand the average customers are deriving from the production.
  • Deploy Frequency reveals the number of changes you have added into production in a timeframe. You can measure it per hour, day, week, month, or customize the measuring period. The catch is, if you are deploying four times in a month, it might seem that you are making it to production only once a week. So, prefer a shorter period. Increase the timeline when you start deploying more.

These DevOps metrics are crucial for all businesses that want to cope with the ever-changing market demands. They provide more value than story points, and they are also affordable and help in decision-making. Higher-ups like IT team leaders and C-suite executives depend on the DevOps metrics for an in-depth analysis of underlying problems.

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