CI/CD is a software engineering approach where software is made available to end users as soon as it’s implemented and tested. There is no doubt that CI/CD is the key to implement successful DevOps. However, it’s not easy to establish a CI/CD pipeline and even much harder to optimize it. To continuously optimize CI/CD, we should find ways to measure its performance.

In this session, I’ll share how to define metrics for optimizing CI/CD through a case study consisted of Zuul, Jenkins, OpenStack, etc. The goal is to identify and measure the essential parameters that affect the whole process and finally help teams understand what happened during CI/CD, make team members focus on specific improvements. I’ll present a variety of metrics based on my own experience and show you how to create your own.

How to determine the type of data you need to collect
Metrics for individual and teams
Metrics for the response of your features and products
How to make better product based on your metrics

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