Deployment Frequency: It's typically challenging to determine whether an application is prepared for operations when research and operations teams work in different silos. Cycle durations for operations are unnecessarily prolonged when development teams just deliver an application.

Applications are made available significantly faster with a development and maintenance team working together. This is crucial because businesses prosper when they can innovate more quickly than their rivals. In fact, according to Red Hat's Kevin Murphy, shorter development cycles result in 60 percent faster time to market for applications than using conventional methods.

Change Failure Rate: Deployment frequency is indeed the ideal illustration of how there is no single statistic that exists as the primary indicator of success when it comes to a topic as complex as DevOps. Although it may seem that a DevOps transition's ultimate goal is to increase frequency in order to increase agility, this goal must also be considered in relation to failure rate. Loss of money and decreased customer satisfaction could result from the more frequent adjustments failing too frequently.

It may be time to step back and focus on long-term remedies for current problems if your KPIs show a larger change rate of failure as deployment frequency increases.