Delivery

DORA Metrics

The DORA Metrics have become an industry standard for how effectively organizations deliver software. Waydev’s DORA Metrics report is designed for engineering leaders to track and measure software delivery performance metrics.

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DORA Metrics will help you better understand how to assess velocity (using Deployment Frequency or Mean Time to Recovery) and code quality (with the help of Change Failure Rate and Lead Time For Changes).

Deployment Frequency

Deployment Frequency tracks how often a team successfully deploys code to production, reflecting delivery speed and responsiveness.
The Deployment Frequency of releases depends on several factors, such as the tasks given or the deployment size. Teams that follow best practices usually work with tasks broken into smaller batch sizes to make the deployments more frequent.
Depending on the task at hand, some teams may deliver once a week, while high-performing ones have deployments a few times a day.

Lead Time for Changes

Lead Time is a velocity metric that shows how long a commit takes to reach production.
The less the value of Lead Time is, the higher the team’s performance responsible for implementing it. When the time between the first commit and release is long, this can indicate bottlenecks that delay deployment or an inefficient workflow.
Lead Time is a great way of assessing the effectiveness of the deployment process, which is an important performance indicator.

Change Failure Rate

Change Failure Rate is a metric that measures the percentage of changes deployed to production that result in failures, such as downtime or critical issues.
A high Change Failure Rate indicates potential issues in the deployment process, highlighting areas for improvement in software quality and stability.
This metric is essential for understanding the reliability of releases and the effectiveness of testing and deployment practices.

Mean Time to Recovery

Mean Time to Recovery measures the time it takes for teams to recover from a failure in production.
This reflects the efficiency of engineering teams in identifying, responding to, and resolving issues quickly.
Identifying the problem fast and responding as quickly as possible are indicators of high-performing engineering teams and it is crucial to prioritize velocity and quality and promptly address any issues.