By WalkingTree   August 21, 2020

Measuring DevOps Performance

DevOps helps us reimagine the way we deliver software, with an emphasis on delivering value to end-users through automation and collaboration. Measuring the performance of a software delivery team is the basic foundation on which you measure the impact of changes. The four key metrics for measuring the performance are:

  1. Lead time – Lead time is important because the shorter the lead time, the more quickly feedback can be received on the software, and thus it eventually results in faster innovation, and improvements can be released. 
  2. Deployment frequency – Deployment frequency is the frequency of how often code changes are deployed in production. Deployment frequency is important since it is related to batch size. 
  3. Change fail percentage – Change fails percentage measures how frequently a deployment fails. Failure here means that a deployment causes a system outage or degradation. Modern software systems are complex, fast-changing systems, so some amount of failure is unavoidable.
  4. Mean time to restore – Mean time to restore is closely related to the lead time. In effect, teams that can quickly release features can also quickly release patches. Time to restore indicates the amount of time that a production system remains down, in a degraded state, or in a non-working functionality.

Read on to know more about how you can measure your DevOps structure performance.


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