DevOps Metrics- KPIs that boost results & maximize ROI

DevOps Metrics- KPIs that boost results & maximize ROI

Aug 20, 2021, 10:03:42 AM Tech and Science

As the go-to standard for developmental software, the main advantage of DevOps is it’s ability to facilitate the development of high-quality software at faster rates, ensuring customer satisfaction. It is important to gather feedback, and continuously measure results in order to track its progress to ensure a smooth flow.

Let’s take a look at the fifteen key KPIs that should be factored when assessing whether DevOps is a success.

DevOps fifteen keys:

  1. Availability & Uptime: the amount of downtime acceptable for the application, includes the need for maintenance, unforeseen outages and updates.
  2. Frequency of Deployment: the frequency with which new updates and changes are rolled out for the application. Any dip in the frequency indicates an obstruction in the workflow.
  3. Deployment Time: the time taken between approval of the update/ new feature and actual deployment. This is affected by the frequency of deployment too.
  4. Failed Deployment Rate: anything that has a negative or unforeseen result is counted as a failed deployment, and allows you time to reconsider and upgrade it.
  5. Detection Time: the time between the problem arising, and the ability to fix it determines your detection time.
  6. Average Recovery Time: the time taken to repair and restore service. It’s a great measure of the team’s ability to work swiftly to access, assess and complete the process whether planned, or sudden.
  7. Lead Time: the time for a production of a completed code to successfully be deployed.
  8. Defect Escape Rate: how quickly defects are discovered and eliminated.
  9. Defect Volume: the number of defects that are detected and the intensity with which they are detected.
  10. Customer Ticket: customer experience, including detection of bugs and issues that they then draw to your attention to.
  11. Code Committed: track the number codes your team commits to the software before it is ready to be deployed. This offers you an insight into code quality and deployment velocity.
  12. Error Rate: high error rate points to inherent workflow problems, that then results in subpar performance. The most common errors that you can encounter are production issues and bugs. While the former results from poor database connections and query timeouts, the latter relates to code-related problems after deployment.
  13. Tests Pass Percentage (Automated):this the effective usage of the unit and frequent functional testing to see whether the regularity of code changes are resulting in test breakages.
  14. Application Performance: the importance of monitoring an app before, during and after deployment to troubleshoot efficiently.
  15. Repository Speed: Repository speed score is a vital metric which helps ensure that developers are focusing their code review efforts when they matter the most.

While each of these singularly is a vital cog in keeping the DevOps wheel moving in the right direction, it is important to analyse all in tandem– allowing you to figure out precisely what’s working and what needs to be revamped.

Published by Tectra Technologies

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