DevOps metrics

Abstract

Your biggest mistake might be collecting the wrong data.

A Survey of DevOps Concepts and Challenges

“…Practices: provides tools, practices, patterns, and strategies to enhance DevOps. These studies offer guidelines for selecting deployment technology [46], explanation of the use of metrics [19], how to support communication among global peers through specialized social networks [32], and how injecting infrastructure faults at production can support system reliability [3].…”

“…However, none of these maturity models are widely adopted by industry. Indeed, most organizations have almost no visibility or reliable measurement of their software-delivery practices [19].…”

“…Forsgren and Kersten claim that both survey data and system data [19] should measure DevOps transformations. System data can provide a continuous flow of information, although setting up the aggregation of metrics from different sources can be challenging.…”

“…Survey data provides a holistic view of out-of-the system issues, such as culture, job satisfaction, and burnout, and can even point to problems on system-data collection. Whether survey or system data, Forsgren and Kersten still make clear that if results are used to punish teams, data collection will be unreliable [19], as also reinforced by Brown from Microsoft [61]. Kua cautions that inappropriate use of metrics can lead to undesired behavior and even divert the organization from its goals [93].…”

A Metrics Ecosystem for Designing Quality E-Commerce Systems

“…to use an official evaluation model. The literature does not exhibit as many works as one would expect in this issue since there are not many models, methodologies or tools that can thoroughly assess an enterprise-client e-commerce system by identifying individual qualities and / or strengths of the company based on an official standard [19][20][21][22]23].…”